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Senior Decision Scientist
Job in
Birmingham, West Midlands, B1, England, UK
Listed on 2026-08-18
Listing for:
Gleeson Recruitment Group
Full Time
position Listed on 2026-08-18
Job specializations:
-
IT/Tech
Data Scientist
Job Description & How to Apply Below
Birmingham based role - Up to £75K
I'm currently recruiting for a Senior Decision Scientist to join a growing financial services business, working at the forefront of SME lending and automated credit decisioning.
This is a great opportunity for someone who wants to take ownership of the full model lifecycle from identifying the problem and building models through to deployment, monitoring and optimisation - while working closely with Data, Risk and Product teams.
What you'll be doing
Develop and deploy ML and statistical models across credit risk, affordability and pricing
Own models end-to-end, including data, feature engineering, modelling, validation, deployment and monitoring
Build model monitoring frameworks and performance dashboards
Explore new data sources, challenger models and A/B testing to improve decisioning
Turn complex analysis into clear, commercially focused insights
Work closely with both technical and senior business stakeholders to influence lending strategy
What I'm looking for
Strong Machine Learning experience within SME lending
Strong Python and SQL skills
Proven experience taking models through the full development lifecycle
Background in Fin Tech, lending or automated decisioning
Good understanding of UK credit risk and regulatory requirements
Confident communicator who can bridge the gap between Data, Risk and Commercial teams
Desirable:
Consumer lending experience, model governance/monitoring experience, and a strong commercial mindset with genuine ownership.
If you're a Senior Data Scientist, Decision Scientist or Credit Risk Modelling specialist looking for a role where you can have real influence over SME lending strategy, I'd be keen to hear from you.
Please apply asap if interested. GleeIT
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Position Requirements
10+ Years
work experience
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