Lead data scientist Work, Jobs in Atherstone Cv9 (with Salaries)

Senior Decision Scientist
Lovey —Birmingham
- £70,000 - £80,000 a year
- Full-time
- SQL
- Machine learning
- Analytics
Quick apply
Lead Data Scientist
Gymshark —Solihull
- Hybrid work
- Machine learning
- Communication skills
- Employee discount
- Gym membership
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Data Scientist
Flint Bishop —Derby
- Full-time
- Analysis skills
- Bachelor's degree
- Machine learning
- Free parking
- Employee discount
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Senior Manager - Principal AI Engineer
KPMG —Birmingham
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree

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Senior Decision Scientist

Lovey
Birmingham

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Job details

Full-time
£70,000 - £80,000 a year

Qualifications

Business intelligence
Dashboard visualisation
SQL querying
SQL
Credit risk evaluation (Risk analysis)
Machine learning
Machine learning modelling
A/B testing
Underwriting risk analysis
Analytics

Full job description

Role: Senior Decision Scientist (Lending)

Location: Central Birmingham - Office Based

Salary: Up to £80,000 - Depending on experience

About Lovey

Lovey is a fast-growing fintech helping UK businesses access the funding they need to grow. Since 2016, we’ve supported thousands of companies through smarter, faster, and more transparent lending.

We’re proud to be a Top 15 fastest-growing finance company, a Great Place to Work, and to hold a 4.9 Trustpilot rating, driven by our focus on innovation, trust, and real customer impact.

Requirements

The Role

We’re looking for a Senior Decision Scientist to lead the development of cutting-edge credit decisioning models across SME lending.

You’ll own the end-to-end model lifecycle, from problem framing through to deployment and monitoring, while working at the intersection of data, risk, and product to shape the future of our lending strategy.

What You’ll Do as Senior Decision Scientist

Build and deploy ML and statistical models for credit risk, affordability, and pricing
Own the full model lifecycle (data, features, modelling, validation, deployment, monitoring)
Develop monitoring frameworks and performance dashboards
Drive innovation through new data sources, challenger models, and experimentation (A/B testing)
Translate complex models into clear, actionable business insights

Benefits

Requirements:

Strong experience in machine learning within lending (SME essential)
Proficiency in Python & SQL
Proven end-to-end model development experience
Background in fintech and automated decisioning environments
Solid understanding of UK credit risk & regulation
Ability to communicate effectively with both technical and business stakeholders

Consumer lending experience
Experience with model governance & monitoring frameworks
Strong commercial mindset and ownership attitude

Why Join Lovey?

Be part of a high-growth fintech shaping the future of SME lending
Work on high-impact models used in real underwriting decisions
Collaborate with a talented, cross-functional team
Join a company that truly values innovation, trust, and people

Please note: All applications will be reviewed week commencing 20th July.

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