Data Science Manager - ML / AI - Insurance

Stott and May
Slough
4 days ago
Create job alert

Data Science Manager - ML / AI - Insurance

Location:London (Hybrid)

Employment Type:Permanent, Full-Time

Department:Data Science and Analytics

Industry:Lloyds Insurance


Up to 130K + Up to 60% Bonus + up to 17% Pension + Benefits


Overview

An innovative Lloyd’s market insurer is seeking aData Science Managerto lead a growing team in building cutting-edge data-driven solutions that directly impact underwriting, pricing, and risk selection. This is an exciting opportunity to influence strategic decisions and drive digital transformation across the business.


The company has a strong reputation for top-quartile performance and a forward-thinking, collaborative culture. You’ll join a team that empowers its underwriters and invests in long-term, sustainable growth.


Key Responsibilities

As the Data Science Manager, you will:

  • Lead and manage a high-performing team of Data Scientists, delivering projects that enhance risk ranking, digital trading, pricing, and profitability analytics.
  • Collaborate with stakeholders across Underwriting, Technology, Actuarial, and Analytics to design and implement advanced machine learning and AI solutions.
  • Build and refine data-driven models to optimize risk appetite alignment, loss classification, and technical rating methodologies.
  • Contribute to digital trading initiatives by developing broker data insights and automation tools for the Digital-Follow channel.
  • Define strategic data requirements and partner with Data Engineers to ensure efficient data pipelines and model deployment.
  • Present findings to senior leadership and support the development of management and board-level reports.
  • Champion best practices in data governance, model validation, and analytics delivery across the business.


What You’ll Bring

  • Proven experience managing Data Science teams and delivering business-impactful analytics projects.
  • Strong stakeholder management skills, with the ability to communicate complex technical ideas to non-technical audiences.
  • Advanced knowledge of statistical modelling, data manipulation, and machine learning techniques.
  • Expert-level programming skills, particularly in Python.
  • Familiarity with Azure cloud technologies (Data Factory, SQL, Synapse Analytics, PowerBI) is a strong plus.
  • Experience in Data Science or Actuarial roles, ideally within the insurance or Lloyd’s market.
  • A collaborative mindset with the ability to work cross-functionally across analytics, actuarial, data engineering, and IT teams.
  • Strong academic background in a relevant quantitative discipline.


Sound good?


APPLY NOW!

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.