Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Data Science Analyst Insurance

Broad Street
2 days ago
Create job alert

Our client, a well-established and actively expanding Lloyd's Syndicate Insurance firm, is seeking a Data Analyst with an interest in Data Science to join an expanding team in an expanding business that regard Data Science and Machine Learning as paramount.

The ideal candidate will have proven experience with the modelling of Data, strong interest or experience with Data Science and/or Machine Learning and be proficient with SQL, Python and R from a technical perspective.

THE ROLE:

  • The person in this role will play a key part in implementing the business and data modelling strategies to help achieve the company’s financial goals.

  • You will assist in developing data models and generating valuable insights to support the management of schemes and brokers across various products, while also contributing to pricing development and the pricing cycle.

  • The ideal candidate will bring expertise in advanced modeling and data science techniques, applying them as needed to meet specific project requirements.

  • To succeed in this role, strong collaboration with different business functions is essential to ensure the company’s resources are used effectively to achieve financial targets.

    RESPONSIBILITIES:

  • Apply advanced actuarial and data science methods to develop new pricing models and improve existing ones.

  • Collaborate with different business areas to ensure pricing changes align with product goals and overall objectives.

  • Analyze data to track and evaluate product performance.

  • Ensure timely delivery of projects by completing tasks within set deadlines and maintaining high-quality standards.

  • Work with management to align activities with the company’s strategy and broader business goals.

  • Contribute to the development of management information (MI) and reporting processes.

  • Assist in creating a robust change control process, supporting the deployment team in designing and executing effective change testing to enhance accuracy and manage risk.

  • Support the design, upkeep, and improvement of databases to boost data quality and analytical value, including researching and integrating new data sources.

  • Identify data integrity issues and escalate them through appropriate channels.

  • Continuously develop skills through on-the-job learning, industry events, online courses, and other external learning opportunities. Stay updated on the latest trends in data science and pricing methodologies within and beyond the insurance sector.

  • Ensure compliance with legal and regulatory requirements, as well as the company’s pricing governance framework.

    SKILLS / EXPERIENCE REQUIRED:

  • Proficient in data manipulation and statistical tools such as R, Python, SAS, EMBlem, RADAR, Excel/VBA, and SQL Server.

  • Skilled in analysing data to support effective strategies for various propositions.

  • Experienced in managing complex datasets and applying structured analytical methods.

  • Strong commercial awareness, using business insights to drive profitability.

  • Contributes to overseeing the financial performance of a wide range of products in a competitive and dynamic market.

  • Capable of creating clear, insightful visualizations of large and complex datasets using tools like Power BI.

  • A logical thinker, able to evaluate and develop multiple problem-solving approaches.

  • Innovative and creative in reviewing and enhancing processes

  • Strong communication skills, including effective presentation abilities

Related Jobs

View all jobs

Data Science and Project Analyst - AVP

Data Scientist - Category Management

Data Scientist - Category Management

R&D Senior Data Scientist

R&D Senior Data Scientist

R&D Senior Data Scientist

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.