Senior Data Scientist Consumer Credit
New Yesterday
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 level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Analyst, Science, and AdvertisingIndustries
Consumer Services, Financial Services, and Banking
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#J-18808-Ljbffr- Location:
- London, England, United Kingdom
- Salary:
- £150,000 - £200,000
- Job Type:
- FullTime
- Category:
- IT & Technology
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