Internship
Closes in 8 days
TL;DR
Key Takeaways
- Eight-week paid internship in Data Science within the P&C Insurance team.
- Gain hands-on experience in data analysis, machine learning models, and client presentations.
- Requires strong analytical skills, coding experience (Python, R, SQL), and to be in your penultimate year of university.
- Must be on course for a 2:1 degree and have strong A-level results in Maths.
- Closing date for applications is 20th November 2026.
About the Role
This is an eight-week internship within WTW's Insurance Consulting and Technology (ICT) team, focusing on Property and Casualty (P&C) insurance.
What You'll Do
- 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.
- Build core technical skills through hands-on experience and team support.
- Deliver data science projects involving the development, assessment, and deployment of machine learning models, and write high-quality code.
- Learn and apply open-source tools and technology, alongside WTW’s proprietary insurance technology solutions.
- Grow through structured early-career training and ongoing learning from subject matter experts.
This internship offers an opportunity to understand potential graduate roles at WTW, with many interns returning as permanent team members after graduation.
Qualifications
To be eligible for this internship, you must:
- Be highly numerate and analytical, with an interest in data analysis and commercial problem-solving.
- Have experience in a coding or data-processing language such as Python, R, SQL, or similar.
- Be genuinely interested in data science advancements, including Machine Learning and Generative AI.
- Be a clear and confident communicator.
- Be personable, approachable, and motivated to work in a team.
- Have an interest in and aptitude for learning and developing new ideas.
- Be comfortable using AI tools to support work, understanding their strengths and limitations (exposure to RAG and Agentic AI is beneficial but not required).
- Be in your penultimate year of university.
- Be on course to achieve a 2:1 degree, 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).
Workstyles
- This role requires attending the office five days per week.
- You will be based in either the London or Reigate office, to be agreed during onboarding.
- Travel to other WTW offices for team or client meetings may be expected.
Application Process
- Apply online and attach your CV.
- Complete an online test and video interview.
- Attend an in-person assessment centre in London.
- Offer and acceptance.
- Onboarding.