> Markdown version of [/jobs/ext/2806596-data-science-manager-credit](https://www.wearedevelopers.com/jobs/ext/2806596-data-science-manager-credit). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Science Manager (Credit)

- **Company:** Data Science Moniepoint
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Python (Programming Language), Machine Learning, SQL Databases, Real Time Systems
- **Published:** September 9, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-science-manager-credit/46482043

## About the Role

retention, and portfolio performance at scale. Developing credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections Design and run experiments to optimise approval rates, loss rates, and profitability Partner with product squads to embed decision logic into real-time systems Ensure data quality, compliance, and ethical use of models across all decisioning processes Mentor product squads on best practices in experimentation and data-driven decision making Provide models to optimise outcomes in collections, churn management and user retention We would love to hear from you if You're comfortable with Statistics - and have a Degree or qualifications in a quantitative field (Statistics, Mathematics, Engineering or similar) You have +5 years of experience in data science, decision science, or risk analytics within financial services, including +2 years in managerment Working knowledge of credit risk, consumer lending, and regulatory
considerations Proficiency in SQL and at least one modelling/programming language (Python, R) Experience with A/B testing, machine learning, collections modelling and churn management Ability to translate complex analyses into clear recommendations for business stakeholders High ownership mindset and comfort working in fast-paced, cross-functional teams What Moniepoint Can Offer You The opportunity to drive financial inclusion and shape the future of the African financial ecosystem The chance to work on innovative and impactful projects A dynamic, diverse, and collaborative environment where every team member's voice is recognised and valued Continuous learning and career growth opportunities Competitive salary, individual performance bonuses, and firmwide performance bonus The company covered health insurance plans Pension plans What to expect in the hiring process Introductory call with one of our recruiters Initial interview with the Director of Data Science Take-home
task (hands-on coding or marketing modelling case study) Business case interview with our Head of Marketing Strategy & Data Live technical coding interview with the Director of Data Science Culture & values interview (60 minutes) with the Director of Data Science Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates. #J-18808-Ljbffr

## Description

Bolt, Monzo, Klarna, Checkout.com, and Tide. If you want to build our data science function from the ground up, work with one of Africa's highest-scale fintech data sets, and ship products that influence tens of millions of users, this is an exceptional time to join. About the role We're looking for a hands-on Spain-based Data Science Manager to lead our consumer credit data science efforts in a high-growth environment. This role is pivotal in building and scaling a team responsible for pricing, credit limit modelling, and production credit model deployment, with direct ownership of decisions that impact millions of customers. You'll work closely with our Consumer Credit, Product, and Engineering teams to shape how we assess and price risk, design credit products, and measure outcomes across the credit lifecycle. Sitting at the intersection of data science, credit risk, and product, you'll build the analytics and modelling foundations that inform underwriting, customer acquisition


## Related Videos

- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)
- [Is my AI alive but brain-dead? How monitoring can tell you if your machine learning stack is still performing](https://www.wearedevelopers.com/videos/262-is-my-ai-alive-but-brain-dead-how-monitoring-can-tell-you-if-your-machine-learning-stack-is-still-performing)
- [Beyond Autocomplete: Local AI Code Completion Demystified](https://www.wearedevelopers.com/videos/961-beyond-autocomplete-local-ai-code-completion-demystified)

## Related Articles

- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023)
- [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)