2026 Data Scientist Graduate Programme Insurance Consulting LondonReigate

With 48000 colleagues in over 140 countries we help organisations make forward-thinking choices about their people, their investments and the risks they face. Joining our Insurance Consulting and Technology (ICT) team you'll be part of our impact right from the start.

Our ICT team uniquely combines deep insurance consulting expertise with innovative technology. We work across all major actuarial pillars within Property and Casualty (P&C) – reserving capital and pricing – as well as broader areas such as data science, process transformation, risk and regulatory climate, exposure management, underwriting and claims analytics involving both client projects and research and product development.

At WTW we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.

Working with and learning from some of the markets top thought leaders you'll become part of multiple varied client projects from day one. These will focus on data‑hungry areas such as pricing, claims and operational processes.

In this role you will :

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• Use data science techniques to analyse data and produce insightful results
  
• Present your analysis both internally and to clients
  
• Collaborate with colleagues in the UK and globally
  
• Build your core technical skills through hands‑on experience and team support
  
• Deliver data science projects that involve the development, assessment and deployment of machine‑learning models and writing of high‑quality code
  
• Learn and apply open‑source tools and technology alongside WTW’s own proprietary Insurance Technology Solutions used widely by the insurance market
  
• Grow through structured early‑career training and ongoing learning from subject matter experts in the team
  

Our graduate roles are journeys of learning experience and support. To transform your tomorrow with WTW you’ll need to be :

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• Highly numerate and analytical with an interest in drawing value from data and applying your skills to complex and challenging commercial problems
  
• Experienced in a coding or data‑processing language such as Python, R, SQL or similar
  
• Genuinely interested in what’s happening in the world of data science such as recent advancements in Machine Learning and Generative AI
  
• A clear and confident communicator who can make complicated ideas understandable and engaging for a range of audiences
  
• Personable, approachable and motivated to work as part of a supportive team
  
• Someone with an interest in and aptitude for learning and developing new ideas
  

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• Predicted 2:1 degree in a numerate discipline
  
• Predicted 2:1 degree including A Level Maths grade A / B or equivalent qualifications
  

Closing Date: 11th December 2025

We believe in the value of in‑person learning at this early stage of your career so you’ll be expected to come into the office at least four days a week. You’ll be able to agree on a suitable home / office pattern with your line manager once you start. Regardless of your allocated office you may be expected to travel to other WTW locations for team or client meetings.

Stage 1: Apply online and attach your CV

Stage 2: Complete an online test and video interview

Stage 3: Attend a virtual assessment centre

Stage 4: Face‑to‑face interview – if you are successful in the other elements of the assessment centre you will be invited into the office for a face‑to‑face interview where you’ll meet the team

Stage 5: Offer and onboarding

We’re committed to equal employment opportunity and provide application interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers from the application process through to joining WTW please email

Laboratory Experience, Immunoassays, Machine Learning, Biochemistry, Assays, Research Experience, Spectroscopy, Research & Development, cGMP, Cell Culture, Molecular Biology, Data Analysis Skills

Employment Type: Full‑Time

Experience: years

Vacancy: 1