Senior Data Scientist Consumer Credit

DataTech Analytics
London, United Kingdom
7 months ago
Applications closed

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Direct message the job poster from Datatech Analytics

Senior Data Scientist – Consumer Credit Modelling

Hybrid – London | Up to £75,000 DOE + Benefits

Ref: J12979

We’re working with a consumer finance business that’s rethinking credit, making it fairer, simpler, and powered by data.

Think challenger fintech with a clear focus on transparency and real-world impact.

The Role

You’ll take full ownership of model development—building and deploying ML models that directly shape decisions across underwriting, fraud, and customer conversion. It’s a hands-on, end-to-end role, working with both structured and unstructured data in a collaborative, fast-paced team.

What We’re Looking For

  • Strong Python (pandas, sklearn, etc.) and advanced SQL
  • Experience building behavioural or credit models
  • Good grasp of ML algorithms, not just how to run them
  • Clear communicator across technical and non-technical teams
  • Solid awareness of data drift and model monitoring
  • Excellent data visualisation—You know how to make ideas land
  • Degree in Computer Science, Maths, Stats, or similar

Bonus Points For

  • Experience in credit cards or consumer lending
  • Exposure to deep learning (Keras, TensorFlow)
  • Familiar with Git, Tableau, Bitbucket
  • Master’s in Data Science or related field

What’s on Offer

  • Up to £75k depending on experience
  • 25–30 days holiday + birthday off
  • Hybrid working (London)
  • Enhanced family-friendly policies
  • Great culture and a chance to make a real impact

Please note: sponsorship is not available for this role.

#datascience #fintechjobs #creditrisk #consumerfinance #ml #ethicalfintech #hiring #behaviouralmodelling #pythonjobs #datatechjobs

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst, Science, and Advertising
  • IndustriesConsumer Services, Financial Services, and Banking

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