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

Nominate & Attend

Data Scientist - Pricing

Harnham
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - Biomarkers - Remote - Outside IR35

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

Job Description

DATA SCIENTIST – PRICING

UP TO £68,000

LONDON

This is an exciting opportunity to join the Pricing and Underwriting team where you will be able to develop your own ideas, bring them to life, and directly influence the key business outcomes.

THE COMPANY

This fin-tech is a European Insurer who have expanded rapidly across Europe and are now growing out their UK business. They are very data-driven, pioneering the leading technology and have rapid growth plans.

THE ROLE

You can expect to be involved in the following day-to-day:

  • Break down complex business challenges into measurable and data-driven metrics and formulate hypothesis to test and validate potential solutions.
  • Build and deploy predictive models using advanced frameworks and algorithms.
  • Adapt and customise models on a case-by-case basis for specific organisational needs.
  • Continuously improve model performance through experimentation and optimisation.
  • Follow modern best practices in software development and model deployment.
  • Collaborate with experience Machine Learning and Data Engineers to refine models and solutions.
  • Look for new data sources to integrate into models, finding new ways to make pricing models.

YOUR SKILLS AND EXPERIENCE

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.