Job Description

COORDINATES WITH

This position coordinates with various internal stakeholders including, TIM team, finance, grant managers, the Institutional Funding Team, and the global Oxfam Project team to ensure systems and data support business objectives effectively. Part of this coordination includes ensuring manager is informed about the progress of a project(s) and sharing updates with Oxfam Partnership Platform (OPP) stakeholders.

PURPOSE OF THE POSITION

The Systems Analyst is responsible for managing and providing technical oversight for our grant management systems, third-party applications, and the integration points between these systems and our Enterprise resource planning (ERP) systems. Additionally, this role is responsible to support the organization’s reporting needs through data extraction and analysis.

PRIMARY RESPONSIBILITIES

System Administration
•Conduct detailed analysis of business processes and requirements.
•Perform routine maintenance and upgrades of multiple Salesforce Platforms including third-party applications.
•Monitor system performance and ensure data security and compliance with relevant regulations.
•Oversee user account and license management.

•Manage system backups and recovery plans to ensure system security and data integrity.
•Manage relationships with vendors to ensure ongoing support is in place and that issues are resolved promptly and effectively.
Reporting, Analysis, and Data Extraction
•Design and develop dashboards and reports using data from various systems, including ERP and other business applications.
•Schedule monthly, quarterly, and annual data pulls and manage reporting needs.

•Fulfill ad hoc report/query requests and identify opportunities for self-serve reporting options.
•Maintain and ensure dashboard reporting(s) are ready and accurate.
•Upload data as needed and work toward automating data loads to streamline process.
•Advocate and support the enhancement of the organization’s data culture through active participation.

Support, Training and Documentation
•Provide technical expertise by troubleshooting and resolving help requests, addressing user question from various countries. Collaborate with global system administration team and/or vendors to identify and fix issues or bugs.
•Provide technical expertise to support various teams in using and understanding system functionalities.
•Document system processes and configurations.
•In collaboration with internal stakeholders, develop and maintain user guides, and conduct training sessions that support end-users adoption and proficiency.

Continuous improvement and System Enhancements
•Monitor system performance and coordinate with internal stakeholders to gather and defining requirements for ongoing system improvements.
•Coordinate with the ERP Team to identify and support enhancement implementation process to increase operational productivity.
•Work with vendor(s) to ensure enhancement requests are prioritized and advocate for feature enhancements.
•Stay informed of new system functionalities and release updates to leverage new features for business optimization.
•Perform other duties as assigned.

POSITION EXPECTATIONS

•Will stay abreast of professional standards, trends and issues affecting this set of responsibilities, demonstrating continuous learning of the field.
•Will work effectively and collaboratively in support of building a team-based, problem-
solving work culture treating all persons with dignity and respect and will be familiar with and committed to Oxfam America mission, values, and goals.
•Will have a fundamental understanding of gender justice and diversity within key areas of responsibility and a commitment to promoting gender justice, racial equity, and diversity in our workplace and programs.
•Within key areas of responsibility, will have a commitment and be accountable for activities contributing towards a safe and accountable workplace environment, projects and relationships for staff, partners, and the communities we serve.

Qualifications

EDUCATION

•Certifications in computer science or related field(s), Associate degree, some studies in pursuit of Bachelor’s Degree, or a computer science or a related discipline or equivalent.

EXPERIENCE AND CORE COMPETENCIES

•3-5 years of experience in systems analysis, project management, with a focus on grant management systems, ERP, and third-party applications.
•1-3 years of experience in a Salesforce system administration role, preferably in the non-profit sector. and/or Salesforce System Administrator Certificate.
•1-3 years of experience developing reports, dashboards, and data management.
•Advanced Excel skills, including formulas and conditional formatting, as well as other Business Intelligence tools for data analysis.
•A passion for exploring new technologies, learning rapidly, and leveraging tools to solve real-world business challenges.

•Strong analytic skills, and understanding of system security, backup, and recovery procedures.
•Highly organized, excellent problem-solving skills, detail oriented, and collaborative.
•Passion for working with and enabling others to effectively leverage data and systems.
•Excellent interpersonal and communication skills across departments and levels.

PREFERRRED QUALIFICATIONS

•Salesforce Business Analyst and/or Platform App Builder certification
•Experience with AmpImpact, Vera Solutions
•Knowledge of AI
•Knowledge of Process Automation/Flows in Salesforce
•Understanding of Azure Data services ecosystem

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About World Business Lenders (www.wbl.com)World

Business Lenders (WBL) provides general purpose short-term real estate collateralized commercial loans to a broad customer base comprised of small and medium sized businesses throughout the United States that lack access to traditional funding.

WBL is a U.S. based company with a100% remote workforce.

This is a remote Contract/Consultant position. Generally, working hours will be 9:00am-6:00pm Eastern, Monday through Friday, although hours worked may be greater based upon operational requirements.

The job requires excellent oral and written command of the English language.
Resumes must be submitted in English.

Job Description:

The Data Analyst will be responsible for the intake, validation, and management of large datasets used for risk modeling and financial analysis. This role will ensure the integrity and security of the data, collaborating closely with the Data Team Lead and other departments. The Data Engineer Analyst will play a critical role in ensuring that the data used in credit risk models and financial planning is accurate, reliable, and well-organized for analysis.

Essential Functions:

• Maintain and update databases that store key financial and operational data. Ensure that data is structured efficiently for use in credit risk models and financial forecasting.
• Collaborate closely with cross-functional teams, especially the econometric analysts and data engineers, to ensure that data flows smoothly between departments.
• Manage the collection and intake of large datasets from various sources. Ensure the accuracy and integrity of incoming data by conducting thorough validation checks.
• Provide accurate data to the econometric analysts and assist in transforming raw data into valuable insights for risk models and forecasting reports.

• 100% fluency in English, with exceptional English verbal and written communication skills
• Bachelor’s degree in Data Engineering, Finance.
• 2 years of experience in data engineering, finance, or related roles preferred.
• Needs to have advanced SQL, Power BI and VBA experience
• Familiarity with data security practices (preferred but not mandatory).
• Excellent communication skills to work effectively with cross-functional teams.
• Experience with Microsoft: Outlook, Excel, Word, PowerPoint required; Teams experience required.

• Contract (Contractor)/Consultant position
• Compensation DOE
• 11 US Paid Holidays

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About World Business Lenders (www.wbl.com)World

Business Lenders (WBL) provides general purpose short-term real estate collateralized commercial loans to a broad customer base comprised of small and medium sized businesses throughout the United States that lack access to traditional funding.

WBL is a U.S. based company with a100% remote workforce.

This is a remote Contract/Consultant position. Generally, working hours will be 9:00am-6:00pm Eastern, Monday through Friday, although hours worked may be greater based upon operational requirements.

The job requires excellent oral and written command of the English language.
Resumes must be submitted in English.

Job Description:

The Data Analyst will be responsible for the intake, validation, and management of large datasets used for risk modeling and financial analysis. This role will ensure the integrity and security of the data, collaborating closely with the Data Team Lead and other departments. The Data Engineer Analyst will play a critical role in ensuring that the data used in credit risk models and financial planning is accurate, reliable, and well-organized for analysis.

Essential Functions:

• Maintain and update databases that store key financial and operational data. Ensure that data is structured efficiently for use in credit risk models and financial forecasting.
• Collaborate closely with cross-functional teams, especially the econometric analysts and data engineers, to ensure that data flows smoothly between departments.
• Manage the collection and intake of large datasets from various sources. Ensure the accuracy and integrity of incoming data by conducting thorough validation checks.
• Provide accurate data to the econometric analysts and assist in transforming raw data into valuable insights for risk models and forecasting reports.

• 100% fluency in English, with exceptional English verbal and written communication skills
• Bachelor’s degree in Data Engineering, Finance.
• 2 years of experience in data engineering, finance, or related roles preferred.
• Needs to have advanced SQL, Power BI and VBA experience
• Familiarity with data security practices (preferred but not mandatory).
• Excellent communication skills to work effectively with cross-functional teams.
• Experience with Microsoft: Outlook, Excel, Word, PowerPoint required; Teams experience required.

• Contract (Contractor)/Consultant position
• Compensation DOE
• 11 US Paid Holidays

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Starling is the UK’s leading digital bank on a mission to make banking better! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

We are about giving customers a better way to spend, save and manage their money while taking better care of the planet which has seen us become a multi-award winning bank that now employs over 2,800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 3.5 million accounts. We are a fully licensed UK bank but at the heart we are a tech first company with a platform that enables our brilliant products.

Product is part of the technology team at the very heart of Starling. We work in a fast-paced environment that is all about making progress and building things that keep us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions. Innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business.

The way to thrive at Starling is to be someone who is motivated and inquisitive, keen to help us understand problems and work collaboratively to design and build smart, pragmatic things that deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager. 

Our Product Environment

At Starling we spend our time building products that we’re really proud of. We focus on the experience, often delivering things with real polish but sometimes making a fast strategic move. We’re always working closely and collaboratively with our engineers to solve problems, build new products and improve existing ones. We focus on what is right for our customers and stick to our values.

We think being good at product requires clear communication, a sense of focus, and to challenge the conventional ways of doing things. We’re open-minded when it comes to hiring, we care more about skills and attitude than specific experience or qualifications. If you care about finding elegant solutions to difficult problems and advocating for the customer, we’d love to hear from you.

We’re looking to expand our product team to help us build products and features across our app, online bank and even our internal tools. There’s a wide variety of things we work on and we’re a small team that spends our time working alongside engineers to make our products the best they can be. There’s lots of scope to get involved in all aspects of Starling and we’re looking for someone who is keen to get stuck in and work collaboratively.

Applications close on 5th January 2025, but we encourage you to apply as soon as possible if you are interested in the role. Interviews will begin early January 2025.

What you’ll be doing as you’re settling into your new role:

• Get familiar with the world of banking and Starling as an organisation. 

• Work closely with the product team across different product areas to identify and shape tactical research initiatives for new and existing products. 
• Run tactical research projects and communicate actionable and impactful research findings.
• Identify opportunities for generative research that will have a positive impact on our customers and our business.

What you’ll be doing after you’ve settled:

• Help build our understanding of the banking habits and attitudes of people in the UK in order to ensure we focus on the right things for customers.
• Work closely with the product team to identify and shape research initiatives that both fuel ideation and evaluate product experiences.
• Offer guidance, feedback, and support to non-researchers who need to learn from users as part of their role. 
• Plan, execute and deliver research, and apply the appropriate research methods to answer the teams’ highest priority questions.

What you’ll need:

• You have a few years of professional experience in applied user research for digital products. 
• You have experience with both generative and evaluative research and you’re comfortable initiating, running and communicating research.
• You have experience using both qualitative and quantitative user research methods and you’re knowledgeable about best practice. This role requires a good understanding of qualitative methods, such as contextual inquiry, interviews and usability testing, and a basic understanding of statistical concepts to support quantitative methods, such as quantitative surveys. 
• You’re comfortable working across different product areas and you’re flexible and able to adapt your approach to deliver the most important insights at the right time.
• You have great presentation skills, especially when it comes to sharing impactful insights.
• You’re able to work closely with your team to act on your insights and ideate based on your findings.
• You see research as a team sport, and you’re happy to collaborate and build relationships with your cross-functional team members.
• You have a portfolio showing clear examples of how your research has played an important part in building successful digital products that have had a positive impact on customers and the business.

Interview Process:

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

• Stage 1 - 45 mins with one of the team
• Stage 2 - 90 mins case study interview with two team members 
• Stage 3 - 45 min final with two executives

• 25 days holiday (plus take your public holiday allowance whenever works best for you)

• An extra day’s holiday for your birthday
• Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
• 16 hours paid volunteering time a year
• Salary sacrifice, company enhanced pension scheme
• Life insurance at 4x your salary
• Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
• Generous family-friendly policies
• Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
• Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway.

We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.

Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

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Akur8 is a young, dynamic, fast growing Insurtech startup that is transforming insurance pricing and reserving with transparent machine learning.

Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes.

Powered by skilled R&D, Product & Actuarial teams we’ve developed unique AI algorithms that automate the insurance pricing and reserving in an unprecedented way.

This results in a pricing solution which not only allows insurance companies to model their risks 10 times faster, with a higher predictive power than traditional methods, but which also incorporates next generation reserving functionalities, helping to predict and legislate for future claims, therefore constituting a major game changer for the insurance industry.

Akur8 has already been selected:

• In CB Insights Top 50 World Insurtech Companies 2023
• In Insurtech Global’s Top 100 AIFinTech list 2023
• In Fintech Global’s Top 100 AIFinTech list 2023
• As No.24 in Sønr’s World Top 100 Insurtech Companies 2022
• As 3rd best overall (worldwide) in the CodinGame 2022 Software Engineering Fall Challenge

With 35 nationalities within our team, and offices in Paris, London, New York, Tokyo, Milan, Cologne, Atlanta and Montréal, Akur8's solution is international by design. 

Servicing more than 250+ clients across 4 continents and targeting all non-life insurance carriers, we focus on more mature markets for faster expansion.

To learn more about Akur8, and what we do, click here.

Akur8 is, in all senses of the term, an equal opportunities employer. Akur8 puts diversity, equality and inclusion at the heart of its values. We examine all applications based on equal skills and applying the principles of non-discrimination.

Becoming an Actuarial Data Scientist is the ideal opportunity to influence the usage of cutting edge advanced machine learning technology in the insurance industry and to have a visible effect on the product roadmap of one of the world’s foremost insurtech companies.

This position interacts with our Product, Sales, and R&D departments in various ways. As an Actuarial Data Scientist, you will act as a subject matter expert, assisting the sales team to find the best use cases for Akur8’s software to provide the highest value to each client’s unique business practices.

Working with the Product team to recommend new features that might benefit our clients, you’ll also collaborate with our R&D team to explore new applications of machine learning in the insurance industry.

You’ll lead product demonstrations to various audiences and oversee Akur8 proof of concept projects in an actuarial consultant type of role. These projects will range from straightforward loss modeling to creative uses of modeling to solve a variety of business problems. 

Communicating directly with client contacts such as Heads of Pricing, Heads of Product, CTOs, Actuaries, and Data Scientists, you’ll also conduct regular technical sessions to provide ad hoc modeling best practice guidance, technical training, and actuarial support. 

In addition to these technical client-facing responsibilities, you’ll have an impact on the design of product training and the improvement of model development. 

Finally, you’ll also contribute to white papers and participate in / present at conferences to establish the leadership of Akur8 in North America and other markets.

You’ll be attached to our Montreal office, and occasional travel for business events will be required (a maximum of approximately one week per month). 

The successful candidate must meet each of the following criteria in order to be considered for this position (elements in bold are things, without which, we will be unable to consider your application):

• 3-10 years experience in a P&C / General / Health insurance pricing role (as either a Pricing Actuary, Actuarial Consultant or Data Scientist etc.);

• Ability to understand insurance business imperatives and establish solutions in accordance with them ;
• A strong understanding of Data Science and Machine Learning techniques for predictive modeling ;

• Experience in actuarial data-driven predictive modeling (GLMs / GAMs) & risk analysis in a P&C / General insurance pricing role ;

• Strong communication skills in order to elaborate on complex technical concepts to both technical / non-technical audiences ;

• Readiness to travel when required (approximately one week per month) ;
• CIA or CAS credentials and experience filing predictive models in Canada or the US is preferred. 

• Native-level of English

Important: You must be Canadian, a permanent resident, or possess a relevant visa which allows you to work in an unrestricted manner from our Montreal office. 

We are also willing to consider people currently living in the United States who are willing to relocate to Montreal, QC.

As a newcomer, you'll be joining a diverse, highly skilled and motivated team, with a strong Tech DNA, colleagues that are eager to share their knowledge and passion.

But it’s not all work, you’ll also be part of a dynamic team that enjoys spending time together and having fun.

In addition to this, we will provide you with:

• Competitive salary + annual bonus
• Health insurance, Dental and Vision coverage 
• Retirement Savings Plans
• Generous vacation policy
• Commuter  benefit
• Gym membership via ClassPass
• IT equipment allowance

Additional benefits:

• Onboarding at our Paris HQ
• Professional development & trainings
• Team fun: regular company gatherings and team events
• Fun goodies

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THE CARWOW GROUP

Carwow Group is driven by a passion for getting people into cars. But not just any car, the right car. That’s why we are building the go-to destination for car-changing. Designed to reach drivers everywhere with our trail-blazing portfolio of personality rich automotive brands; Carwow, Auto Express, evo, Driving Electric and Car Buyer.

What started as a simple reviews site, is now one of the largest online car-changing destinations in Europe - over 10m customers have used Carwow to help them buy and sell cars since its inception. Last year we grew over 50% with nearly £3bn worth of cars bought on site, while £1.8bn of cars were listed for sale through our Sell My Car service. 

In 2024 we went big and acquired Autovia, doubling our audience overnight. Together we now have one of the biggest YouTube channels in the world with over 1.1 billion annual views, sell 1.2 million print copies of our magazines and have an annual web content reach over 350million.

WHY JOIN US?

We are winners of the prestigious Culture 100 award that recognises the most loved and happiest tech companies to work for! We have just raised $52m in funding led by global venture capital firm Bessemer Venture Partners (an early backer of LinkedIn and Shopify) to accelerate our growth plans!

As pioneers, we’re always driving for new territory and positive change, so our work as a group is never done. Where others see difficulty, it’s our responsibility to see possibility – building new experiences, launching new titles and listening to drivers.

Being a part of Carwow Group means championing drivers and the automotive industry, acting as a disrupter and never being afraid to fail (but learning fast when we do!).

Our team of 500 employees across the UK, Germany, Spain and Portugal are revolutionising car-changing and we are fast expanding our mission across every single brand and country we operate in, so jump in! 

THE ROLE
We are seeking a highly motivated and detail-oriented Senior BI Analyst to join us. Reporting into our Head of Marketplace analytics, in this role, you will play a key role in developing and implementing comprehensive BI solutions that empower various teams within our organisation to make data-driven decisions. You will collaborate closely with stakeholders from Commercial and Operations teams to understand their requirements and deliver impactful BI solutions. This is a unique opportunity to shape our BI landscape, working within a growing team and utilising your expertise in report creation and ability to solve complex business problems with data and insights.

WHAT YOU’LL DO

• Partner with cross-functional teams including Commercial and Operations to understand their specific business challenges and information needs, translating these into effective data visualisations and dashboards.
• Design and develop BI solutions that provide actionable insights to stakeholders, exceeding their expectations and going beyond simple report delivery.
• Create engaging and informative reports using Tableau, ensuring the data visualisations effectively communicate key insights to both technical and non-technical audiences.
• Support the entire report creation process, from initial requirements gathering to publishing and ongoing maintenance.
• Take ownership of scoping, designing, and delivering BI solutions with a moderate level of guidance, ensuring solutions align with business goals and priorities.
• Collaborate with the Analytics & Data Science team to evolve our BI practices, tools and methodologies, fostering continuous improvement and innovation.
• Ensure data accuracy and integrity by performing regular data validation and troubleshooting any data-related issues. 
• Provide training and support to stakeholders and team members on how to use Tableau dashboards effectively.
• Proactively identify opportunities to optimise reporting processes and drive efficiency.
• Support the Commercial team with ad hoc analysis projects as required

WHAT YOU’LL NEED

The ideal candidate will be extremely passionate about data, data visualisation and delivering business intelligence solutions that enable data-informed decisions at scale. They’ll be able to build strong partnerships with stakeholders, translating their needs into technical solutions that they have the skills to develop. They’ll also be commercially minded, curious and analytical; skilled in answering complex questions with data and motivated by the opportunity to have a significant business impact.

We know that no candidate will be the perfect match for all we've listed in this posting, so we’d encourage you to apply if you feel you're close to the brief but not an exact match to the below:

• Demonstrated track record of building BI solutions using Tableau, showcasing the ability to transform complex data into meaningful insights.
• Strong enthusiasm for crafting compelling reports that provide actionable insights. An enjoyment of the reporting process, translating data into impactful visualisations.
• Proactivity and curiosity are vital qualities in our analytics team, along with a drive to succeed, learn and develop.
• Strong technical skills in SQL and a desire to learn python.
• Proven ability to work closely with stakeholders, actively listening to their needs, and translating those needs into effective BI solutions. Strong communication skills to present insights clearly and concisely.
• Experience of using web analytics tools a plus (Amplitude, Google Analytics, Adobe Analytics etc)
• You have a deep interest and aptitude in data, metrics analysis, trends and ideally have applied knowledge of measurement, statistics and product evaluation.
  

WHAT’S IN IT FOR YOU

• Hybrid working, 2/3 days working from the office
• Competitive salary to fund that dream holiday to Bali
• Matched pension contributions for a peaceful retirement
• Share options - when we thrive, so do you!
• Vitality Private Healthcare, for peace of mind, plus eyecare vouchers
• Life Assurance for (even more) peace of mind
• Monthly coaching sessions with Spill - our mental wellbeing partner
• Enhanced holiday package, plus Bank Holidays 
• 28 days annual leave
• 1 day for your wedding
• 1 day off when you move house - because moving is hard enough without work!
• For your third year anniversary, get 30 days of annual leave per year
• For your tenth year anniversary, get 35 days of annual leave per year 
• Option to buy 3 extra days of holiday per year  
• Work from abroad for a month
• Inclusive parental, partner and shared parental leave, fertility treatment and pregnancy loss policies
• Bubble childcare support and discounted nanny fees for little ones
• The latest tech (Macbook or Surface) to power your gif-sending talents
• Up to £500/€550 home office allowance for that massage chair you’ve been talking about
• Generous learning and development budget to help you master your craft
• Regular social events: tech lunches, coffee with the exec sessions, lunch 8 learns, book clubs, social events/anything else you pester us for
• Refer a friend, get paid. Repeat for infinite money

Diversity and inclusion is an integral part of our culture. We know that diverse teams are strong teams, so we welcome those with alternative identities, backgrounds, and experiences to apply for this position. We make recruiting decisions based on experience, skills and potential, so all our applicants are treated fairly and equally. 

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Job Description

We are looking for a superstar data scientist, who is familiar and experienced with applying machine learning and deep learning in the area of healthcare. This role requires proven hands-on experience training and optimizing models, building production-ready inference pipelines in Python, performing exploratory data analysis & enrichment, and validating models for issues like bias, overfitting, and concept drift.

Since we primarily work in healthcare and life science, background in medicine, pharma, bioinformatics, or biostatistics is highly beneficial. A PhD degree in a relevant field is preferred.

Qualifications

The primary responsibilities will be working as part of a team in customer-facing projects - building models and machine learning, deep learning, natural language processing, and time series forecasting pipelines that address specific business needs. Working knowledge of Python and TensorFlow are a must; experience with Spark, Spark NLP, and other technology stacks is a big plus. The customer facing aspect of this role also requires strong oral & written communication skills.

We are looking for experts who are looking for long-term freelancing contracts, and wish to work on cutting-edge problems, learn and grow. This role for individuals who can commit at least 30 hours per week to this project. We are not able to consider agency or team applications.

This is a career opportunity that will enable you to expand your knowledge and experience of different tools and techniques, work within a team of big data and data science experts and make a positive impact with your work. If you qualify and are interested, please include the words 'John Snow Labs' in your cover letter and explain why you are the best fit for this role.

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At Fenergo, our aim is to future-proof Client Lifecyle Management through our award-winning SaaS based solutions that empower financial institutions. With the expertise of our 700 employees across 11 offices worldwide we enable our clients to improve operational efficiencies and return on investment, manage compliance with KYC, AML and reduce risk with continuous monitoring of clients and transactions throughout the client lifecycle.  

Fenergo dynamically manages any client type, any product type and every client journey for all segments, channels and devices. 

As a company we value collaboration with cross functional teams, driving employee engagement and are champions of diversity and inclusion. As we continue to grow and evolve, we look for team members who will make a meaningful impact, contribute to a positive work environment and shape the future of our organisation. 

Join us as we build a workplace where talent thrives and together, we achieve new heights of success! 

What Will You Do?

You will play a key role in designing, building and maintaining key dataset and models across the organisation which are driven from our cloud-based data lake infrastructure on AWS. You will work closely with a ringfenced team of system engineers, data analysts and a delivery manager to implement best practices for data management and contribute to the overall success of our data platform. This role is ideal for an enthusiastic individual with a strong analytical background who is passionate about working on innovative data projects.

Responsibilities:

• Collect, process and analyse data to derive insights and inform business decisions.
• Develop and maintain datasets and data models.
• Create visualizations and reports to present findings to stakeholders.
• Identify trends, patterns, and anomalies in data.
• Collaborate with teams to define data requirements and goals.
• Ensure data quality and integrity.
• Stay current on industry best practices and data analysis techniques.
• Utilize statistical and analytical tools to interpret data.
• Monitor and maintain data quality through regular audits and assessments.
• Collaborate with data governance teams to establish data quality policies.
• Create and maintain data quality documentation.
• Train and educate employees on data quality best practices.
• Perform data profiling and analysis to identify potential data quality problems.
• Utilize data quality tools and technologies to improve data accuracy and consistency.

Expectations

• 3+ years in a Data Analytics role.
• You have good experience with data visualization tools such as Tableau or Power BI
• You have strong critical thinking skills and ability to analyse complex datasets
• You are proficient in data analysis tools such as SQL, Python or R, middleware solutions such as Workato and have some experience with Snowflake, DBT or Redshift
• You are a storyteller, who can communicate your insights to your team and cross functionally
• You are great at prioritising, you know when to say yes and equally importantly, you know when to say no and you do that the right way
• You are curious, asking great questions, looking to always improve how we work and how you can grow professionally and personally

Our Promise To You  

We are striving to become global leaders across all of the categories we operate in and as part of that we are a high-performing highly collaborative team that works cross functionally to accommodate our clients needs.   

What we value is at the CORE of how we succeed: 

• Collaboration: Working together to achieve our best 

• Outcomes: Drive Success in every engagement  

• Respect: A collective feeling of inclusion and belonging 

• Excellence: Continuously raising the bar 

• Healthcare cover through the VHI 

• Company pension contribution  

• Life assurance/ Income protection 

• 23 days annual leave 

• 3 company days 

• Annual bonus opportunity 

• Work From Home set-up allowance 

• Opportunity to work with clients and colleagues on a global scale for a world leader in Client Lifecycle Management 

• Other competitive company benefits, such as flexible working hours, work from home policy, bike to work scheme, sports and social committee, weekly fitness and sports classes and much more 

• Buddy system for all new starters 

• Collaborative working environment 

• Extensive training programs, classroom and online, through ‘Fenergo University’ 

• Opportunity to work on a cutting-edge Fintech Product, using the latest of tools and technologies 

• Defined training and role tracking to allow you see and assess your own career development and progress. 

• Active sports and social club 

• State of the art offices in the heart of Dublin’s Docklands with great facilities, canteen and games area 

Diversity, Equality, and Inclusivity 

Fenergo is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace, where all employees are valued, respected, and can reach their full potential. We do not discriminate based on race, colour, religion, sex, national origin, age, disability, or any other characteristic protected by applicable law. Our hiring decisions are based solely on qualifications, merit, and business needs. We believe that a diverse workforce enriches our company culture, fosters innovation, and contributes to our overall success. We strive to provide a fair and supportive environment for all employees, promoting equal opportunities for career development and advancement. We encourage all qualified individuals to apply for employment opportunities and join our team in contributing to a collaborative and inclusive work environment. 

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Job Description

• Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
• Solving challenges through diverse Data Science solutions and aligning stakeholders on strategies, deliverables, and roadmaps. 
• Developing project plans with milestones, dates, owners, and risk contingency, creating and maintaining efficient data pipelines within clients' architecture using SQL, Spark, and Cloud technologies.
• Assembling large, complex datasets that meet business requirements and constructing analytics tools to provide actionable insights for customer acquisition and operational efficiency.
• Performing data cleaning, QC, and integration on an Advanced Data Science Platform, summarizing data issues and conducting statistical analysis for decision-making.
• Training, validate, and cross-validate predictive models using cutting-edge techniques and documenting results for client deliverables.

Qualifications

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field. 
• 3+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting optimization. 
• Experience with one or more Advanced Data Science software languages (Python, R, SAS). 
• Proven ability to deploy machine learning models. 
• Experience with SQL and relational databases, query authoring and tuning. Working familiarity with various databases including Hadoop/Hive.
• Experience with Spark and data-frames in PySpark or Scala.
• Strong problem-solving skills; ability to pivot complex data to answer business questions.
• Comfortable with cloud-based platforms (AWS, Azure, Google).
• Experience with Google Analytics, Adobe Analytics and/or Optimizely are a plus.

What about languages? 

You will need excellent written and verbal English for clear and effective communication with the team. 

How much experience must I have? 

We're looking for someone with 3+ years' of experience in similar roles. 

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Description du poste

Points obligatoires :
Capacité à réaliser des analyses statistiques et exploratoires
Construction de dashboards de suivi des performances pour la prise de décisions business
Participation à la mise en place et à l’analyse de tests A/B
Réalisation d’études approfondies pour mieux comprendre les clients et les offres, et proposition de modèles adaptés

Compétences techniques :
SQL
Excel
Forte capacité analytique
Compréhension des enjeux business

Qualifications

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Job Description

About the Role:

We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 FTE) in Belgium. In this role, you will play a key part in designing, developing, and deploying machine learning solutions for our clients across various industries. You will collaborate with other data scientists, engineers, and consultants to deliver innovative and impactful solutions that address our clients' business challenges.

Responsibilities:

• Design, develop, and deploy machine learning models and algorithms
• Analyze large and complex datasets to identify patterns and insights
• Build and maintain data pipelines for data ingestion, processing, and transformation
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Stay up to date with the latest advancements in machine learning and artificial intelligence
• Contribute to the development of Devoteam's data science and machine learning capabilities

Qualifications

Qualifications:

• Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in a data science or machine learning role
• Strong programming skills inPython or R
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with cloud platforms such as AWS, Azure, or GCP
• Experience with Databricks is a plus
• Excellent communication and interpersonal skills
• Fluent in English and proficiency in Dutch or French is mandatory.
• Sponsorship for a work permit not possible

Bonus Points:

• Experience with big data technologies such as Hadoop, Spark, or Hive
• Experience with MLOps tools and practices
• Experience with natural language processing or computer vision
• Contributions to open-source projects or publications in relevant conferences or journals

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Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person.

Our Data Environment

Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

This role sits within the Customer Identity & Financial Crime data division. This team is responsible for the deployment of analytical solutions and machine learning models to prevent and detect financial crime and better understand our customers. This role specifically will focus on the customer identity domain, with a focus on identity verification, KYC and OCR technologies.

Responsibilities:

• Build, test and deploy machine learning models which will improve and/or automate decision making
• Collaborate with engineering, cyber, risk and operational teams teams to identify appropriate data points that are relevant for modelling, using this insight to inform the creation of predictive models
• Conduct exploratory data analysis to identify trends, patterns and anomalies in customer identity data
• Continuously monitor the performance of identity models in production and refine them to improve accuracy, scalability and efficiency

We’re open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We think the ideal candidate will encompass most of the following:

• Demonstrable industry experience Data Science/Machine Learning in Computer vision-related projects:
• Identity verification / KYC
• Computer vision
• OCR
• Anomaly detection
• Excellent skills in Python and SQL
• Experience with libraries such as Scikit-learn, Tensorflow, Pytorch
• Strong data wrangling skills for merging, cleaning and sampling data
• Strong data visualisation and communication skills are essential
• Understanding of the software development life cycle and experience using version control tools such as git
• Demonstrable experience deploying machine learning solutions in a production environment

Desirables:

• Experience with AWS/GCP
• Desire to build explainable ML models (using techniques such as SHAP)
• Familiarity with data privacy regulations and experience in applying these to model development

Interview process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

• Stage 1 - 45 mins with one of the team
• Stage 2 - Take-home challenge
• Stage 3 - 60 mins technical interview with two team members
• Stage 4 - 45 min final with two executives

• 25 days holiday (plus take your public holiday allowance whenever works best for you)
• An extra day’s holiday for your birthday
• Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
• 16 hours paid volunteering time a year
• Salary sacrifice, company enhanced pension scheme
• Life insurance at 4x your salary & group income protection
• Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
• Generous family-friendly policies
• Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
• Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

About Us

You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.

Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. 

When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

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Job Description

The Regulatory Affairs Manager will provide direct regulatory support for screening products. This role will actively support development and implementation of regulatory strategies, premarket submissions, post-market change submissions, annual reports, labeling review, and other related activities. Responsibilities will include all aspects of product core team support, including planning and implementation of regulatory submission strategies, preparation of submissions, reviewing protocols and reports, and interpreting regulations and requirements. 

This position is an individual contributor role with expectations to be hands-on and will liaise closely with regulatory and cross-functional teams at Guardant Health to bring innovative diagnostic assays to market and keep them complaint.

Essential Duties and Responsibilities

• Support screening new product development and support and sustaining teams.
• Effectively prepare regulatory submission documents in adherence with applicable regulations for submission to U.S. government agencies.
• Support regulatory activities throughout product lifecycle and maintain registrations by ensuring regulatory compliance.
• Author, amend, and supplement new or existing submissions, annual reports, Q-submissions, premarket approvals (PMAs), etc.
• Review product related documents (e.g., plans, protocols, reports) and product labeling including marketing materials.
• Facilitate product approvals through effective communications and negotiations with regulatory agencies, and project teams. 
• Responsible for managing regulatory project workflow including prioritizing project deliverables and establishing timeframes for projects with cross-functional teams.
• Responsible for overseeing progress and completion of projects with project team members, ensuring timeframes and deadlines are met.
• Lead and coordinate internal tracking, authoring, and review of responses to requests from regulatory agencies.
• Identify project risk and develop alternate strategies or contingency plans as mitigation.
• Provide strategic advice to the cross-functional team in response to their queries, based on regulatory experience and area of expertise.
• Build and maintain a cooperative and respectful working environment. Be available as an internal resource for peers, advising on regulatory issues and strategies.
• Participate in the planning and execution of the regulatory strategic direction for the business.
• Provide updates to project teams and management regarding regulatory status and requirements of company products.

Qualifications

• Bachelor’s or higher degree in life sciences, engineering or related field with at least 7 years work-related professional experience. 
• 5+ years experience in a medical device or IVD regulatory affairs role, preferably in molecular diagnostics. 
• Experience with PMA, sPMA, 510(k), Q-Submissions, IDE, BDD, and other related regulatory submissions.
• Strong working knowledge of IVD and/or medical device development, design control, change control and cGMP / Quality Systems.
• Demonstrated experience with effectively preparing and coordinating regulatory submissions.
• Successful track record of securing and maintaining product approvals and registrations through application of strong communication and analytical skills.
• Awareness of regulatory issues and challenges associated with diagnostic and/or medical device development.
• Strong analytical skills and attention to detail.
• Excellent communication skills (verbal and written) and ability to convey complex issues in a straightforward manner.
• Outstanding organizational skills to balance activities for multiple projects.
• Self-started with ability to work independently with minimal supervision.
• Hands-on, action-oriented, and able to negotiate and collaborate effectively.

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Job Description

Our Business Insights team is seeking a Lead Data Scientist to drive impactful data-driven decision-making across our products and operations. In this role, you’ll leverage your advanced expertise to design and develop machine learning solutions, uncover the causal relationships in complex systems, and help our customers better understand how their clients interact with their applications. This position requires someone comfortable with independently managing challenging projects and guiding others through technical decision-making.

Key Responsibilities and Impact

• Explore and analyse millions of rows of tabular data to uncover meaningful insights and build advanced machine-learning models.
• Design and implement causal analysis models to assess the impact of system performance on user experience, providing clear, actionable insights into customer behaviour.
• Develop and deploy machine learning models and workflows, transforming terabytes of traffic data into actionable insights that drive key business decisions.
• Lead the development and deployment of models, ensuring robustness, scalability, and reliability in production environments.
• Build automated solutions for business needs, such as bot detection using advanced machine learning and statistical methods.
• Collaborate closely with product owners, engineers, and other stakeholders to translate analytical findings into impactful features and product improvements.
• Take ownership of technical direction, contribute to architectural decisions, identify technical debt, and advocate for opportunities for improvement.
• Mentor and support junior data scientists, enhancing team productivity, improving code quality, and fostering a culture of collaboration and learning.
• Continuously monitor and enhance model performance in partnership with the engineering team, improving model impact on user experience and system effectiveness.

Qualifications

Minimum requirements: 

• A degree in Engineering, Computer Science, Mathematics, or another quantitative field.
• 10+ years of demonstrable/ tenured experience in data/ data science, including at least 3 years in a lead or senior IC role.
• Expertise in causal analysis methods (e.g., propensity score matching, A/B testing, uplift modeling) with a demonstrated ability to analyse tabular data.
• Strong experience in Python (including Pandas, NumPy, and Scikit-Learn) for data processing and machine learning model construction.
• Proficiency in SQL, with the ability to write complex queries and optimise data retrieval from relational databases.
• Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Desirable requirements:

• Experience with large language models (LLMs) and autonomous agents, with an understanding of their practical applications and limitations.
• Familiarity with big data technologies such as Spark or Snowpark for processing and analysing large datasets efficiently.
• Hands-on experience working with Snowflake, particularly using Snowpark for scalable data engineering and machine learning workflows.
• Experience with AWS services (e.g., S3, Lambda, EC2) for managing machine learning infrastructure and deploying models in a cloud-native environment.
• Hands-on experience with data visualisation tools like Plotly, Seaborn, or other Python-based libraries to convey data insights effectively.
• Familiarity with data pipeline orchestration tools (e.g., Airflow, Luigi) to manage ETL/ELT workflows.
• Ability to operate in a fast-paced, dynamic environment, effectively prioritising multiple projects with competing deadlines.

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