????London | UK remote | ???? £80,000 to £90,000 + Stock Options + Benefits | Hear from the team

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Data Science Team:

We're looking for a Senior Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user experience in 2024 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 9 million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

What you’ll be working on 

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into Borrowing product squads alongside engineers, designers, marketers and product managers.

Your day-to-day

• Apply your expertise in analytics and data science to build a comprehensive understanding of our customers through identifying their needs and behaviours to steer data driven product development.
• Lead and empower product teams to measure things that matter to improve our products and customer experience.
• Design, implement and analyse A/B tests to assess the impact of product features and changes.
• Collaborate with user research to use data to enhance insights and guide strategic decisions.
• Develop and maintain data pipelines, dashboards, and reporting tools to monitor product performance.
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights.

You should apply if:

What we’re doing here at Monzo excites you!

• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL and preferably Python
• You have experience in conducting large scale A/B experiments

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Technical assessment
3. Final interview including a case study and collaboration interview 

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com 

What’s in it for you:

???? £80,000 to £90,000 + Stock Options + Benefits

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2 #LI-Remote

OVERVIEW

About the Role

This is a general posting for multiple Data Science roles open across our 4-sided marketplace. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. You can find a blurb on each team at the bottom of this page. 

With regards to level, we have flexibility. Your level will be determined by your education, years of experience, and most importantly, how you perform throughout the interview process. If you're targeting a senior title, you'll need to prove to the team that you're operating at that level. 

About the Team

You will be joining a growing data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization.

ABOUT THE JOB

• Own analytical frameworks that guide the product roadmap
• Design rigorous experiments and interpret results to draw detailed and actionable conclusions
• Develop statistical models to extract trends, measure results, and predict future performance of our product
• Build simulations to project impact of various product and policy interventions
• Enable objective decision making across the company by democratizing data through dashboards and other analytical tools
• Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Instacart
• Present findings in a compelling way to influence Instacart’s leadership

ABOUT YOU

Minimum Qualifications

• 2+ years experience working in a quantitative role at a product company or a research organization
• Ability to run rigorous experiments and come up with scientifically sound recommendations
• Ability to write complex, efficient, and eloquent SQL queries to extract data
• Ability to write efficient and eloquent code in Python or R
• A desire to build and improve consumer software products
• Ability to translate business needs into analytical frameworks
• Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company

Preferred Qualifications

• Awareness of business trade offs when working on a multi-sided marketplace 
• Confidence in collaborating with and influencing cross-functional stakeholders (i.e. Product, Engineering), at a senior level
• MS/PhD in Statistics, Economics, Applied Mathematics, or a similar field

OPEN ROLES:

Ads & Ecosystems

Carrot Ads empowers retailers and marketplaces to monetize their e-commerce properties by leveraging Instacart's robust ad tech. We offer engaging and innovative ads formats, creating vital growth opportunities by connecting Consumer Packaged Goods (CPG) brands with consumers. As a rapidly scaling area within our ads team, Carrot Ads represents a significant opportunity to drive impact. Our team focuses on building a deep product understanding, identifying new opportunities, and effectively measuring success.

#LI-Remote

Job Title: Senior Data Scientist

Location: Remote / Latin America

About Sezzle:

Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation. With only one in three millennials owning a credit card and the majority lacking their desired credit scores, Sezzle addresses these challenges through a payment platform that offers interest-free installment plans at online stores. By increasing consumers’ purchasing power, Sezzle drives sales and basket sizes for thousands of eCommerce merchants that it partners with.

About the Role:

We are seeking a talented and motivated Senior Data Scientist who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our core AI/ML team and work on designing, developing, and deploying machine learning models to power and enhance our financial platform. Your responsibilities will involve building scalable machine learning solutions for personalized recommendations, dynamic collection systems, internal A.I. tools, and more, using a mix of cloud services, open-source tools, and proprietary algorithms.

What You’ll Do:

• Build machine learning-based collection systems

• Develop forecasting models to understand and predict cash flow

• Design recommender system architectures from scratch

• Utilize off-the-shelf recommender systems like AWS Personalize

• Design and conduct A/B tests to measure effectiveness

• Use PyTorch/TensorFlow to build neural network-based systems

• Deploy machine learning models in AWS

• Monitor model performance and feature drift

What We Look For:

• 5+ years of experience working as a data scientist or machine learning engineer

• Proven track record of building and deploying impactful machine learning systems

• Proficiency in SQL and Python

• Expertise in data analysis and database structures

• Experience building and deploying neural networks with TensorFlow and PyTorch

• Experience building risk models or collection systems (a plus)

• Experience building machine learning recommender systems (a plus)

• Strong academic performance with a 4.2+/5.0 GPA 

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.

• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things.

• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.

• You earn trust - you listen attentively, speak candidly, and treat others respectfully.

• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.

• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

1.Online Assessment (12 minutes)

2.SQL and Python Questions (30 minutes)

3.Virtual Interview (30 minutes)

Sezzle’s Technology Stack:

• Languages:Golang, Typescript, Python
• Frontend:Typescript - React and React Native
• Backend:Golang
• Database:MySQL, Postgres, Elasticsearch
• DevOps & Cloud:AWS, Kubernetes
• Version Control:Git
• CI/CD:Gitlab
• Testing:Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote

Job Title: Senior Data Scientist

Location: Remote / Latin America

About Sezzle:

Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation. With only one in three millennials owning a credit card and the majority lacking their desired credit scores, Sezzle addresses these challenges through a payment platform that offers interest-free installment plans at online stores. By increasing consumers’ purchasing power, Sezzle drives sales and basket sizes for thousands of eCommerce merchants that it partners with.

About the Role:

We are seeking a talented and motivated Senior Data Scientist who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our core AI/ML team and work on designing, developing, and deploying machine learning models to power and enhance our financial platform. Your responsibilities will involve building scalable machine learning solutions for personalized recommendations, dynamic collection systems, internal A.I. tools, and more, using a mix of cloud services, open-source tools, and proprietary algorithms.

What You’ll Do:

• Build machine learning-based collection systems

• Develop forecasting models to understand and predict cash flow

• Design recommender system architectures from scratch

• Utilize off-the-shelf recommender systems like AWS Personalize

• Design and conduct A/B tests to measure effectiveness

• Use PyTorch/TensorFlow to build neural network-based systems

• Deploy machine learning models in AWS

• Monitor model performance and feature drift

What We Look For:

• 5+ years of experience working as a data scientist or machine learning engineer

• Proven track record of building and deploying impactful machine learning systems

• Proficiency in SQL and Python

• Expertise in data analysis and database structures

• Experience building and deploying neural networks with TensorFlow and PyTorch

• Experience building risk models or collection systems (a plus)

• Experience building machine learning recommender systems (a plus)

• Strong academic performance with a 4.2+/5.0 GPA 

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.

• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things.

• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.

• You earn trust - you listen attentively, speak candidly, and treat others respectfully.

• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.

• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

1.Online Assessment (12 minutes)

2.SQL and Python Questions (30 minutes)

3.Virtual Interview (30 minutes)

Sezzle’s Technology Stack:

• Languages:Golang, Typescript, Python
• Frontend:Typescript - React and React Native
• Backend:Golang
• Database:MySQL, Postgres, Elasticsearch
• DevOps & Cloud:AWS, Kubernetes
• Version Control:Git
• CI/CD:Gitlab
• Testing:Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote

Job Title: Senior Data Scientist

Location: Remote / Latin America

About Sezzle:

Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation. With only one in three millennials owning a credit card and the majority lacking their desired credit scores, Sezzle addresses these challenges through a payment platform that offers interest-free installment plans at online stores. By increasing consumers’ purchasing power, Sezzle drives sales and basket sizes for thousands of eCommerce merchants that it partners with.

About the Role:

We are seeking a talented and motivated Senior Data Scientist who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our core AI/ML team and work on designing, developing, and deploying machine learning models to power and enhance our financial platform. Your responsibilities will involve building scalable machine learning solutions for personalized recommendations, dynamic collection systems, internal A.I. tools, and more, using a mix of cloud services, open-source tools, and proprietary algorithms.

What You’ll Do:

• Build machine learning-based collection systems

• Develop forecasting models to understand and predict cash flow

• Design recommender system architectures from scratch

• Utilize off-the-shelf recommender systems like AWS Personalize

• Design and conduct A/B tests to measure effectiveness

• Use PyTorch/TensorFlow to build neural network-based systems

• Deploy machine learning models in AWS

• Monitor model performance and feature drift

What We Look For:

• 5+ years of experience working as a data scientist or machine learning engineer

• Proven track record of building and deploying impactful machine learning systems

• Proficiency in SQL and Python

• Expertise in data analysis and database structures

• Experience building and deploying neural networks with TensorFlow and PyTorch

• Experience building risk models or collection systems (a plus)

• Experience building machine learning recommender systems (a plus)

• Strong academic performance with a 4.2+/5.0 GPA 

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.

• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things.

• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.

• You earn trust - you listen attentively, speak candidly, and treat others respectfully.

• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.

• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

1.Online Assessment (12 minutes)

2.SQL and Python Questions (30 minutes)

3.Virtual Interview (30 minutes)

Sezzle’s Technology Stack:

• Languages:Golang, Typescript, Python
• Frontend:Typescript - React and React Native
• Backend:Golang
• Database:MySQL, Postgres, Elasticsearch
• DevOps & Cloud:AWS, Kubernetes
• Version Control:Git
• CI/CD:Gitlab
• Testing:Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote

Senior Data Analyst, Product Analytics

Recharge is positioned to support the best Direct-To-Consumer ecommerce brands in the world. We are building multiple AI-based analytic products that revolutionize how our merchants leverage insight to retain and grow their business. 

We are looking for a data scientist who is value driven and passionate about providing actionable insights and helping to create data products that our product and growth teams can leverage. As a data scientist you will be working on both product analytics as well as advanced analytics projects working closely with data engineering and product to deliver value to our merchants through analytics and insights

You will be responsible for preparing data for prescriptive and predictive modeling, driving hypotheses, applying stats, and developing architecture for algorithms. 

What you’ll do

• Live by and champion all of our core values (#ownership, #empathy, #day-one, and #humility).

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

• Perform analysis utilizing relevant tools (e.g., SQL, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).

• Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.

• Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise.

• Work independently to find creative solutions to difficult problems.

• Effectively communicate analyses and experimental outcomes to business stakeholders, ensuring insights are presented with clear business context and relevance.

• Write and maintain technical documentation for the data models and analytics solutions.
   

What you'll bring

• Bachelor's degree ,or equivalent work experience, in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

• 5+ years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) 

• Preferred experience in leveraging LLMs to address business challenges, and familiarity with frameworks such as Langchain.

• Experience developing and operating  within Snowflake

• Expert in translating data findings to broader audiences including non-data stakeholders, engineering, and executive leadership to maximize impact

• Preferred experience in dimensional modeling in dbt 

• Experience working on advanced analytics models (machine learning or learning based models) that accomplish tasks such as making recommendations or scoring users.

• Ability to demonstrate high self-sufficiency to take on complex problems in a timely manner

• Consistently navigates ambiguous technical and business requirements while making flexible technical decisions

• Consistently delivers technically challenging tasks efficiently with quality, speed, and simplicity

• Payments and/or Ecommerce experience preferred

Our Stack

Vertex ai, Google Colab, Looker, Dbt, Snowflake, Airflow, Fivetran, CloudSQL/MySQL, Python (Pandas, NumPy, Scikit-learn) , Gitlab, Flask, Jinja, ES6, Vue.js, Saas, Webpack, Redis, Docker, GCP, Kubernetes, Helmfile, Terraform, Ansible, Nginx

Hi, we're Oscar. We're hiring a Data Scientist II to join our team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience.

About the role

Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 50+ researchers, data scientists, and analysts to leverage our efforts!

As a Data Scientist II, you will be responsible for measuring the impact of provider data accuracy and collaborating with product management and other stakeholders to generate and test hypotheses aimed at improving data quality. You will quantify the impact of provider data accuracy on key areas such as claims payments and member experience, while partnering with stakeholders to address ambiguous, high-impact problems.

You will report into a Senior Data Scientist. 

Work Location

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission.

If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Ave), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.

You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency

The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

You must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.

Responsibilities:

• Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow without significant manager oversight.
• Develop new models while maintaining and enhancing our existing capabilities. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices while identifying new opportunities to extend functionality where appropriate.
• Develop advanced analytics and validation checks on data and statistical model outputs without significant manager oversight. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.
• Collaborate closely with data leaders and business teams to enhance overall data processes and establish analytical frameworks to answer ambiguous and broadly scoped questions. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our processes and outcomes.
• Compliance with all applicable laws and regulations.
• Other duties as assigned.

Requirements:

• A bachelor's degree and 3+ years of industry or educational experience in a technical field.
• 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
• 3+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis

Bonus points:

• Master’s degree in a technical field
• Experience deploying a machine learning model in production
• Knowledge of standard machine learning methods
• Experience building dashboards
• Experience in the healthcare, insurance and/or finance industries

Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that’s our company’s purpose – and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

The role

Agile Six is seeking aSenior Data Scientistto join an agile, cross functional team supporting the Federal Government customers in creating AI-enabled solutions to create better services for beneficiaries, patients, and employees, reduce healthcare provider burnout, and improve care quality. Our team will work closely with the client to identify key challenges, conduct research, and develop AI-driven solutions including machine learning models and AI tools. We will integrate these into existing systems while adhering to strict data security and ethical AI guidelines. This role will be hands-on using commercial and open source LLMs, Prompt Engineering, RAG architectures, and other machine learning tools.

Please note, this position is anticipated, pending contract award response.

Responsibilities

• Assessing AI-enabled approaches to specific problems is appropriate. Advising stakeholders where AI-enabled approaches may and may not be appropriate.
• Evaluating and selecting specific Machine Learning (ML)-based approaches.
• Developing solution prototypes and minimum viable products for testing with users.
• Conducting research with stakeholders to engineer prompts for large language model (LLM)-based tools
• Customizing commercial LLMs to meet the needs of VA employees, including tuning, prompt engineering, and integration with existing VA systems.
• Support the practice of data science within the larger company as needed through activities such as:
  • Assisting in outreach, recruitment, and hiring efforts
  • Occasionally participating in or otherwise supporting business development efforts, including code or design challenges, writing or reviewing proposal responses, etc.
  • Participating in communities of practice
• We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the unique strengths and interests of the selected candidate and other team members and an evolving understanding of the delivery environment.

Basic qualifications

• Experience implementing LLM based applications or services; including model and toolchain selection.
• Experience enhancing LLMs with external knowledge bases or databases, and fine-tuning pre-trained LLMs on domain-specific data or tasks, improving their performance and accuracy for specialized use cases.
• 9 years of experience in data science and machine learning.
• Knowledge of cloud platforms for machine learning; including SageMaker and Azure Machine Learning.
• Experience with Machine Learning and Deep Learning Algorithms, and applying them to production solutions.
• Familiarity with privacy-preserving tools and handling PII.
• Excellent communication skills, ability to document and present complex technical options and trade-offs to engineering and non-technical audiences.
• Experience in an open-source, collaborative development environment
• Ability to be autonomous, take initiative, and effectively communicate status and progress
• Adaptive, empathetic, collaborative, and holds a positive mindset
• Has lived and worked in the United States for 3 out of the last 5 years
• Some of our clients may request or require travel from time to time. If this is a concern for you, we encourage you to apply and discuss it with us at your initial interview

Additional desired qualifications

• Experience working with healthcare terminology standards, e.g. ICD-10, CPT, LOINC, RxNorm, SNOMED
• Experience working with government agencies
• You are a U.S. Veteran. As a service-disabled veteran-owned small business, we recognize the transition to civilian life can be tricky, and welcome and encourage Veterans to apply

At Agile Six, we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. Even if you don't meet every requirement, we encourage you to apply. We’re eager to meet people who believe in our mission and who can contribute to our team in a variety of ways.

Salary and Sixer Benefits

To promote equal pay for equal work, we publish salary ranges for each position.

The salary for this position is $163,506 - $171,891. 

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say “We build better by putting people first”.

All Sixers Enjoy:

• Self-managed work/life balance and flexibility
• Competitive and equitable salary (equal pay for equal work)
• Employee Stock Ownership (ESOP) for all employees!
• 401K matching
• Medical, dental, and vision insurance
• Employer paid short and long term disability insurance
• Employer paid life insurance
• Self-managed and generous paid time off
• Paid federal holidays and Election day off
• Paid parental leave
• Self-managed professional development spending
• Self-managed wellness days

Hiring practices

Agile Six Applications, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Unfortunately, we are unable to sponsor visas at this time.

If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

​​About the Role:

As a Lead Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply data science and machine learning techniques to improve our marketing, products and processes. You will partner cross-functionally with Analytics, Product, Marketing and Operations to run deep-dive analysis, and build data products. You will partner with analysts, machine learning engineers, and others to build and implement data products that help advance our mission to eliminate stigmas and break down barriers to healthcare access.

You’ll be a leader who has a passion for driving business impact through data science, has strong communication skills, and enjoys doing hands-on work with a deep and broad technical toolset. If you are excited about being part shaping the growing data science organization at Hims & Hers and using data science to disrupt the healthcare industry through innovative solutions– this is the role for you!

You Will:

• Provide technical guidance and thought leadership on data science methodologies, tools, and best practices
• Identify opportunities to apply data science and machine learning solutions across marketing and product, and operations
• Create data science roadmaps that accelerate hims & hers business goals
• Drive projects in areas like marketing optimization, customer segmentation, lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting
• Partner with engineers and business stakeholders to design, develop and deploy ML products end-to-end to drive business outcomes
• Empower the Data Science team through mentorship and collaborative efforts, actively pursuing opportunities to foster cross-team knowledge expansion and mentorship initiative

You Have:

• 10+ years working in Engineering and/or Data Science with a record of building ML models that have a measurable impact on the business
• The ability to deliver business impact in the context of ambiguity and evolving priorities to technical and non-technical stakeholders 
• Ability to develop technical roadmaps for solving complex business problems
• Excellent communication skills and ability to work effectively with both technical and non-technical partners
• Experience developing and putting models into production, while also owning and maintaining production models long-term
• Ability to manipulate large datasets with high dimensionality and complexity; proficiency in SQL and Python 
• Proficiency with ML tools such as pandas, sklearn, PyTorch, or TensorFlow
• MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related field

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

About the Role

The Merchandise Planner will be responsible for developing, executing and maintaining merchandise plans for the Men’s Bottoms business. You will report to a Planning Director and have exposure to Planning & Merchandising Leadership as well as other senior level cross-functional partners. In addition to business management, you will drive forward strategic initiatives with outsized impact across the Planning team, Company-level innovations and our clients. Our ideal candidate will be a self-starting, sharply analytical problem-solver with proven planning acumen and the ability to adapt to the Stitch Fix business model.

You're excited about this opportunity because you will…

• Ensure the success of the Men’s Bottoms department by meeting or exceeding plans for sales volume, inventory turnover and gross margin, across multiple Revenue channels
• Deeply analyze and drive performance across Fix & Freestyle channels 
• Create pre-season plans and in-season forecasts for multiple product departments 
• Manage and maintain rolling operating financial forecast (OTB/ROF) in collaboration with buyers to optimize business performance 
• Recap and analyze actual sales results to plan and forecast in-season sales and inventories on a weekly, monthly and quarterly basis
• Forecast receipt flow to ensure optimal inventory levels that balance liability and opportunity while delivering an excellent client experience   
• Assess and evaluate inventory risks and opportunities 
• Responsible for in-season scenario planning as well as actionable recommendations to address business needs 
• Form strong working relationships with Buying team 
• Partner directly with Allocation, Operations, Engineering and Data Science teams 
• Perform ad-hoc analysis based on historical performance, product attributes and customer attributes

We’re excited about you because…

• You have a college degree (preferably a BS in a business-related field) with 5-7 years of prior retail planning and e-commerce experience 
• You are extremely proficient in Microsoft Office with advanced Excel skills 
• You have strong planning and organizational skills 
• You are experienced in tops-down, bottoms-up planning 
• You are comfortable and confident making decisions and recommendations grounded in data 
• You are able to thrive in a fast-paced, ambiguous environment that embraces change 
• You have a bias towards action, results-focused and detail oriented 
• You possess excellent verbal and written communication skills 
• You have a solid understanding of retail math, merchandising financials and profitability KPIs

Why you'll love working at Stitch Fix...

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives— all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. 
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do. 
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.

Company Overview:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview:

We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems. 

As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization. 

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do:

• Play a key role in gathering business requirements, using them for trend analysis and uncovering actionable insights, and writing technical requirements; using a variety of analytic tools 
• Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives 
• Leveraging data from various sources, e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process, working with Clinical Programs to analyze and simulate expected impact and ROI, e.g., medical expense, administrative cost, improved quality and outcomes 
• Present information using data visualization techniques and propose solutions and strategies to business challenges

Your background & requirements:

• 2+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics 
• Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations 
• Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL) 
• Strong interest and understanding of EMR data, Claims and SDOH data 
• Experience with data visualization tools such as Tableau and Kibana, preferred
• Bachelor’s or Master’s degree in STEM, public health, biostatistics, economics, or other related field

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

The salary range for this position is $90,000 to $110,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

#LI-Remote

#BI-Remote

Company Overview:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using leading edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health insurance plans covering over 15 million people, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work, Top 5 LinkedIn™ Startup, TripleTree iAward, multiple KLAS Research Points of Light, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview:

We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems. 

As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization. 

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do:

• Work as part of a cross-functional team to develop project requirements, identifying data collection sources for project needs. Responsible for milestone setting from a data science perspective 
• Develop research questions and undertake data exploration to understand who our product users are, how they get value out of Cohere, and where we can develop our product to bring greater value and simplify healthcare 
• Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives 
• Leveraging data from various sources, e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process, working with Clinical Programs to analyze and simulate expected impact and ROI, e.g., medical expense, administrative cost, improved quality and outcomes 
• Present information using data visualization techniques and propose solutions and strategies to business challenges

Your background & requirements:

• 5+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
• Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics 
• Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations 
• Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL)
• Strong interest and understanding of EMR data, Claims and SDOH data 
• Experience with data visualization tools such as Tableau and Kibana, preferred 
• MSc or higher degree in a data science/ analytics, statistics, mathematics related field
• Experience with Amazon AWS cloud platform 
• Experience with ElasticSearch 
• Experience with graph database preferred

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

The salary range for this position is $120,000 to $145,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

#LI-Remote

#BI-Remote

????London | UK remote | Benefits | Hear from the team

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Data Science Team:

We're looking for a Senior Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2024 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 10 million customers in the UK, with over 200,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

What you’ll be working on 

You’ll work closely with product and engineering managers, designers and researchers in an agile product environment. You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. You’ll help us get the most out of volumes of native data in our cloud platform, spotting opportunities to make our product work even better for our users. Through your product squad, you will drive product innovation and you’ll get to see the impact of all your work in the product changes we make.

Your day-to-day   

• Applying your expertise in analytics, data science, and the data storytelling to see beyond the numbers and understand how our users interact with our products and communications and how those insights can inform our communication strategy
• Guide and enable our Product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
• Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different communication approaches are impacting user activation, engagement and profitability
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

You should apply if:

What we’re doing here at Monzo excites you!

• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL, Looker, and preferably Python
• You have 3-4 years of experience in conducting large scale A/B experiments, preferably as part of broader product teams. 
• You have excellent presentation and communication skills andget excited to turn data into stories accessible for stakeholders. 

The Interview Process:

Our interview process involves three main stages: 

1. Chat with a recruiter
2. Initial Call with the Hiring Manager 
3. A take home task  
4. Final interviews including a case study and collaboration interview 

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com 

What’s in it for you:

• ✈️ We can help you relocate to the UK 
• ✅ We can sponsor visas 
• ????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
• ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
• ????Learning budget of £1,000 a year for books, training courses and conferences
• ➕And much more, see our full list of benefits here
• If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2 #LI-Remote

OVERVIEW

About the Role

This is a general posting for multiple Sr. Data Science roles open across our 4-sided marketplace. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. You can find a blurb on each team at the bottom of this page. 

With regards to level, we have flexibility. Your level will be determined by your education, years of experience, and most importantly, how you perform throughout the interview process. If you're targeting a senior title, you'll need to prove to the team that you're operating at that level. 

About the Team

You will be joining a growing data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization.

ABOUT THE JOB

• Own analytical frameworks that guide the product roadmap
• Design rigorous experiments and interpret results to draw detailed and actionable conclusions
• Develop statistical models to extract trends, measure results, and predict future performance of our product
• Build simulations to project impact of various product and policy interventions
• Enable objective decision making across the company by democratizing data through dashboards and other analytical tools
• Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Instacart
• Present findings in a compelling way to influence Instacart’s leadership

ABOUT YOU

Minimum Qualifications

• 6+ years experience working in a quantitative role at a product company or a research organization
• Ability to run rigorous experiments and come up with scientifically sound recommendations
• Ability to write complex, efficient, and eloquent SQL queries to extract data
• Ability to write efficient and eloquent code in Python or R
• A desire to build and improve consumer software products
• Ability to translate business needs into analytical frameworks
• Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company

Preferred Qualifications

• Awareness of business trade offs when working on a multi-sided marketplace 
• Confidence in collaborating with and influencing cross-functional stakeholders (i.e. Product, Engineering), at a senior level
• MS/PhD in Statistics, Economics, Applied Mathematics, or a similar field

OPEN ROLES:

Marketplace Balancing & Coordination

We are looking for an experienced data scientist with a background in complex and dynamic marketplace problems. The successful candidate will take on a leading role working on Instacart’s core marketplace problems including shopper pay and incentives, marketplace balancing, and experimentation. The role will partner with senior product managers and engineers to tackle analytical, experimental, and inferential problems to understand and expand the efficient frontiers of a balanced, sustainable, and resilient multi-sided marketplace.

Partnerships

We are looking for an experience data scientist that will work on Partnerships. The Partnership team launches needle-moving partnerships with a range of companies, such as Peacock, to drive incremental growth for Instacart. We are in search of an experienced data scientist to join our team and support this critical growth initiative. The successful candidate will be responsible for advancing our measurement frameworks, as well as driving insights via experimentations and comprehensive data analyses.

#LI-Remote

????London | UK remote | Benefits | Hear from the team

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About ourData ScienceTeam:

We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2023 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over four and half million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

What you’ll be working on 

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into 1 product squad alongside engineers, designers, marketers, product managers etc.

Your day-to-day   

• Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
• Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
• Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

You should apply if:

What we’re doing here at Monzo excites you!

• You'reimpact drivenand eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You'recommercially mindedand can put numbers into business perspective
• You’re as comfortablegetting hands-onas taking a step back andthinking strategically
• You have aself-starter mindset;you proactively identify issues and opportunities and tackle them without being told to do so
• You're ateam playerwhom your colleagues can rely on
• You havesolid grounding in SQLand preferably Python
• You have experience in conducting large scale A/B experiments

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Take home task  
3. Final interview including a case study and collaboration interview 

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point ontech-hiring@monzo.com 

What’s in it for you:

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefitshere

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2 #LI-Remote

????London | UK remote | Benefits | Hear from the team

About our Data Science Team:

We're looking for a Senior Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user experience in 2024 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 9 million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

What you’ll be working on 

You will work together with a cross functional team (PM, UX/design, Engineering and of course other Data Scientists, Analysts and Analytics Engineers) to make Monzo the place where customers move, send and receive money in a way that feels magical!  Our ambition is to be the customer’s `top of wallet` card to pay in person, online, and while travelling.  We think Payments should be engaging, trustworthy, and remarkably simple.

Your day-to-day   

• Applying your expertise in analytics, data science, and data storytelling  to build a comprehensive understanding of our customers, identifying their needs and behaviours to improve product offerings and customer experience.
• Utilise existing data to support and inform customer research, enhancing insights and guiding strategic decisions.
• Guide and enable Payments teams to measure things that matter; ensure our business metrics are appropriate and that our event tracking is robust enough to power insights into customer behaviours.
• Initiate or help run A/B experiments to keep improving everything we do
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

You should apply if:

What we’re doing here at Monzo excites you!

• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL, Looker, and preferably Python
• You have experience in conducting large-scale A/B experiments, ideally those focused on driving user engagement in mobile applications or bring deep expertise of the payments domain.
• You have excellent presentation and communication skills and get excited to turn data into stories accessible for stakeholders.

The Interview Process:

Our interview process involves three main stages: 

1. Chat with a recruiter
2. Initial Call with the Hiring Manager 
3. A take home task  
4. Final interviews including a case study and collaboration interview 

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com 

What’s in it for you:

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2  #LI-Remote