Harnham
Senior Risk Data Scientist - Payments Fintech

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Want to apply machine learning to complex risk and decisioning challenges in a high-growth environment?
Interested in owning models end-to-end and seeing your work directly influence business outcomes? Looking for a role where you can combine analytics, strategy and machine learning rather than sitting in a narrow modelling function?
A venture-backed technology company is building advanced risk and decisioning products that help enterprise customers make faster, smarter commercial decisions. With a team of 21 and plans to scale towards 30, the business is entering an exciting growth phase, supported by strong funding and international expansion. The company combines data, machine learning and automation to solve complex operational and risk challenges at scale, with customers across multiple global markets.
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Graduate Consultant — 2026 Scheme
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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This Senior Risk Data Scientist role offers the opportunity to work across modelling, analytics and commercial decision-making. You'll have significant ownership, exposure to senior leadership and the chance to influence both product development and business strategy.
Key Responsibilities
- Build and enhance risk, fraud and predictive ML models
- Own the full machine learning lifecycle from development to optimisation
- Deliver insights that support commercial and strategic decision-making
- Analyse portfolio performance and identify emerging trends and risks
- Develop scalable solutions using Python, SQL and modern ML techniques
- Partner with stakeholders across product, commercial and leadership teams
- Contribute to AI-driven automation and decisioning capabilities


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Key Details
- Salary: Up to £85,000 + equity + private medical (family included)
- Working model: Remote-first. Candidates must be within approximately 90 minutes of London. Occasional in-person meetings required.
- Tech stack: Python, SQL, Machine Learning, GenAI
- Visa sponsorship: Cannot sponsor
Interested? Please apply below.
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