Back to search
Hybrid working London offices
Up to 75,000 DOE + Benefits
Ref: J12979
Working with a consumer finance company that's changing the way credit's done.
Fairer, simpler, and powered by data. Think challenger fintech with a real focus on transparency and impact.
The role
You'll take full ownership of model development, building and deploying ML models that directly influence decisions across underwriting, fraud, and customer conversion. It's hands-on, end-to-end, and you'll be working with both structured and unstructured data in a fast-moving, collaborative team.
What we're looking for
- Strrong Python (pandas, sklearn, etc.) and advanced SQL
- Experience building behavioural or credit models
- Solid understanding of ML algorithms (not just how to run them)
- Clear communicator across tech and non-tech teams
- Awareness of data drift and model monitoring
- Amazing visualization skills; ideas need to land
- Bachelor's degree in computer science, Mathematics, Statistics, or related field
Bonus points for
- Credit card or consumer finance experience
- Exposure to deep learning (Keras, TensorFlow)
- Git, Tableau, Bitbucket
- Master's in Data Science or similar
What's on offer
- Up to 75k depending on experience
- Bonus scheme + private medical
- 2530 days holiday + birthday off
- Hybrid working (London)
- Enhanced family-friendly policies
- Great culture, real impact
No sponsorship available
#datascience #fintechjobs #creditrisk #consumerfinance #ml #ethicalfintech #hiring #behaviouralmodelling #pythonjobs #datatechjobs
