2027 Data Scientist Internship Programme - P&C Insurance - London/Reigate

With 49,000 colleagues in over 140 countries, WTW helps organisations make forward-thinking choices about their people, their investments and the risks they face. Joining the 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. On this eight-week internship, you'll do more than experience our projects – you'll help us deliver them.

Responsibilities:

Joining the P&C Insurance team for eight weeks, you'll build invaluable real-world experience at the heart of the ICT business, focusing on data-hungry areas such as pricing, claims and operational processes.

- 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

This is the perfect opportunity to understand what you could expect if you joined the graduate programme the following year. WTW has many examples of interns returning as permanent team members after graduation.

Requirements:

- 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
- Comfortable using AI tools to support work, with an understanding of their strengths and limitations. Exposure to concepts such as Retrieval-Augmented Generation (RAG) and Agentic AI would be beneficial but is not required
- In your penultimate year of university
- On course to achieve a 2:1 degree, as well as A-level Mathematics at grade A or above, and at least 136 UCAS points across three A levels, or equivalent qualifications (e.g. AAB or A*AC)

Workstyle:

In-person attendance is expected five days per week. You'll be based in either the London or Reigate office, agreed during the onboarding process. Travel to other WTW offices for team or client meetings may be required.

WTW is an equal opportunity employer committed to fostering an inclusive work environment. Application, interview and workplace adjustments and accommodations are available to all applicants.