Location
London or Reigate office. Your office location will be agreed with you during onboarding. You may be expected to travel to other WTW offices for team or client meetings.

Hours
Full time, five days per week, in-person attendance is expected to support in-person learning.

Salary
Negotiable

About the Role
With 49,000 colleagues in over 140 countries, WTW helps organisations make forward-thinking choices about their people, investments, and risks. Joining our Insurance Consulting and Technology (ICT) team, you’ll be part of our impact from the start. Our ICT team uniquely combines deep insurance consulting expertise with innovative technology, working 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. This involves client projects, research, and product development.

During this eight-week internship, you will gain invaluable real-world experience at the heart of our ICT business, focusing on data-hungry areas such as pricing, claims, and operational processes. You will use data science techniques to analyse data and produce insightful results, present your analysis internally and to clients, collaborate with colleagues in the UK and globally, and build your core technical skills through hands-on experience and team support.

You will deliver data science projects involving the development, assessment, and deployment of machine learning models and writing high-quality code. You will learn and apply open-source tools and technology alongside WTW’s proprietary insurance technology solutions widely used in the insurance market. The programme includes structured early-career training and ongoing learning from subject matter experts.

This internship is an excellent opportunity to understand what to expect if you join our graduate programme the following year. Many interns return as permanent team members after graduation.

WTW is committed to fostering an inclusive work environment and embraces all types of diversity, ensuring colleagues feel welcome, valued, and empowered to bring their whole selves to work every day.

Experience
Interest and experience in coding or data-processing languages such as Python, R, SQL, or similar. Familiarity with data science concepts and recent advancements in Machine Learning and Generative AI is desirable.

About you
Highly numerate and analytical with a passion for drawing value from data and solving complex commercial problems. A clear and confident communicator able to make complicated ideas understandable and engaging for diverse audiences. Personable, approachable, motivated to work as part of a supportive team. Interested in 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 is beneficial but not required.

Qualifications
Currently in your penultimate year of university. On course to achieve a 2:1 degree. Must have 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 meets the points requirement).