National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Pricing Data Scientist

Harnham
Greater London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Pricing Data Scientist

Technical Senior Data Scientist

Senior Data Scientist - Pricing

R&D Senior Data Scientist

R&D Senior Data Scientist

R&D Senior Data Scientist

1 day ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Building Credit Risk, Fraud, and Pricing Analytics teams in the Lending and Insurance Sectors | The Talent Driving The Data and AI Revolution

SENIOR PRICING DATA SCIENTIST

LONDON

Really exciting role here with a small and dynamic Insurtech who are going through an exciting period of change. This role offers the chance to work on their end-to-end model process, working in a fast-paced and challenging environment where you can take ownership for business performance.

THE COMPANY

This business are a lean and focused Insurtech who have a significant portion of the market. They have a small and close-knit team and are now looking to add a driven and motivated candidate to help them in a variety of projects, with modelling at the core.

THE ROLE

You can expect to:

  • Develop cutting edge predictive models using Python and Machine Learning techniques
  • Work on end-to-end ownership of these models, including work on implementation, deployment and enhancement
  • Analyse large sets of customer data to drive insight and commercial performance
  • Share insight with the wider team and helping to improve profitability across the business on ad hoc project work

YOUR SKILLS AND EXPERIENCE:

  • At least 4 years prior experience within insurance
  • Good knowledge of Python is essential
  • Prior model development experience is essential - ideally conversion rate modelling
  • Strong communication skills and desire to learn is key

SALARY AND BENEFITS

  • Up to £80,000 base salary
  • Discretionary bonus scheme
  • Contributory pension scheme
  • Remote-based work model
  • 25 days holiday

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

Seniority level

  • Seniority levelAssociate

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst
  • IndustriesInsurance

Referrals increase your chances of interviewing at Harnham by 2x

Sign in to set job alerts for “Data Scientist” roles.

London, England, United Kingdom 2 days ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

Basildon, England, United Kingdom 1 week ago

Data Scientist, Internship, United Kingdom - BCG X

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

Senior Machine Learning Engineer, Pricing

London, England, United Kingdom 1 day ago

London, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 3 weeks ago

Greater London, England, United Kingdom 2 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.