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Harnham

Senior Data Scientist

CompanyHarnham
LocationLondon, England, United Kingdom
Posted At3/6/2026

UK Visa Sponsorship Analytics

Occupation Type
Actuaries, economists and statisticians
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£55,100 (£28.26 per hour)
Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Harnham. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

SENIOR DATA SCIENTIST

LONDON- HYBRID

UP TO £75,000

I'm currently working with a leading UK fintech that is looking to bring in a Senior Data Scientist to join their growing decision science team.

You'll be responsible for developing and deploying models that support underwriting decisions, pricing strategies, and fraud detection, working closely with product, engineering, and risk teams to ensure models are robust, scalable, and delivering commercial value.

THE ROLE

  • Develop and enhance credit risk models, including scorecards and machine learning models for underwriting and portfolio management
  • Build pricing models and optimisation strategies to support customer acquisition and portfolio profitability
  • Design and improve fraud detection models to identify suspicious activity and reduce financial losses
  • Work closely with product, risk, and engineering teams to deploy models into production
  • Analyse large datasets to uncover insights that inform decisioning strategies
  • Monitor model performance and drive continuous model improvements

REQUIREMENTS

  • Strong experience developing credit risk, fraud, or pricing models within financial services or fintech
  • Strong programming experience in Python (pandas, scikit-learn, XGBoost etc.)
  • Solid SQL skills and experience working with large datasets
  • Good understanding of machine learning and statistical modelling techniques

HOW TO APPLY

Please send your application below or reach