WTWInternshipOpen

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

Eight-week in-person data science internship with WTW's Insurance Consulting & Technology team (P&C), based in London or Reigate.

Location

London

Education

Undergraduate

Industry

Insurance, Finance

Format

In-Person

Deadline

19 October 2026

Last verified: 9 October 2026

Data ScienceInternshipInsuranceLondonReigateWTW

About this opportunity

This eight-week internship offers students the chance to work on a range of data science tasks within the P&C insurance sector, including analysing data, collaborating with global teams, presenting results, developing machine learning models, and using industry-leading tech. Interns receive structured training and may be considered for the graduate programme upon completion.

Who is it for?

Penultimate year university students on track for a 2:1 degree, with A-level Maths at grade A or above, and at least 136 UCAS points across three A levels or equivalent. Suitably skilled in Python, R, SQL or similar. Must be interested in data science, ML, AI, and comfortable communicating complex ideas.

What you will gain

Hands-on experience with real client projects, training in data science and machine learning, opportunity to work in a global environment, use of modern tools and insurance technologies, and exposure to career opportunities at WTW.

Similar open opportunities

Requirements

Penultimate year university status; on track for a 2:1; A-level Mathematics grade A or higher; at least 136 UCAS points across three A levels/equivalent (e.g., AAB or A*AC); skilled in a coding or data-processing language (e.g., Python, R, SQL); analytical and numerate; strong communication skills; interest in data science and AI.

How to apply

Stage 1: Apply online with CV. Stage 2: Online test and video interview. Stage 3: In-person assessment centre in London. Stage 4: Offer and acceptance. Stage 5: Onboarding.

Ready to apply?

Visit the official WTW page to apply for this opportunity.

Always confirm eligibility, deadlines, and requirements directly on the official WTW website before applying. Nentra does not guarantee the accuracy of third-party programme details.

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