WTW is inviting applications for its 2027 Data Scientist Graduate Programme – Insurance Consulting in London or Reigate, United Kingdom. The full-time opportunity offers graduates hands-on experience with data science projects, machine-learning models, insurance analytics and structured professional training.
Successful applicants will work with experienced specialists, contribute to client projects and develop technical and communication skills. The application deadline is 20 November 2026.
Background & Job Description
WTW is a global professional services organisation that helps businesses manage risks, investments and people-related challenges. Its Insurance Consulting and Technology team combines insurance expertise with technology to support areas including pricing, claims analytics, reserving, capital, risk management and process transformation.
The graduate programme provides an opportunity to apply data science techniques to commercial problems in the insurance sector. Participants will work on projects involving data analysis, machine learning, research and the development of technology-based solutions.
The programme is based in London or Reigate, England. Graduates are expected to attend the office at least four days a week, with their assigned location agreed during onboarding.
Programme Overview
| Detail | Information |
|---|---|
| Organisation | WTW |
| Programme | Data Scientist Graduate Programme – Insurance Consulting |
| Intake | 2027 |
| Job reference | 202605389 |
| Location | London or Reigate, United Kingdom |
| Working arrangement | Office-based at least four days a week |
| Job type | Full-time |
| Application deadline | 20 November 2026 |
| Salary | Not specified in the supplied vacancy |
| Official application | Apply through WTW Careers |
Tasks
Graduate participants will work alongside experienced data scientists, consultants and other specialists on a range of client and internal projects.
Their responsibilities may include:
- Analysing datasets to identify useful patterns and produce insights.
- Applying data science techniques to pricing, claims and operational challenges.
- Developing, evaluating and deploying machine-learning models.
- Writing high-quality code to support data science projects.
- Presenting analytical findings to colleagues and clients.
- Collaborating with teams across the UK and internationally.
- Learning and applying open-source tools and WTW’s insurance technology solutions.
- Participating in research, product development and ongoing technical training.
- Exploring developments in machine learning, generative AI and related technologies.
The programme is intended to help graduates build practical technical capabilities while learning how data science supports commercial decision-making in insurance.
Qualifications
Education and Certification
Applicants must meet the following academic requirements:
- At least a 2:1 degree in a numerate discipline.
- A-level Mathematics at grade A or above.
- At least 136 UCAS points across three A-levels, or equivalent qualifications.
WTW gives AAB or A*AC as examples of A-level combinations that meet the overall points requirement. Applicants with equivalent qualifications should confirm their eligibility with the employer.
Experience
The vacancy does not specify a minimum number of years of professional experience. However, candidates should demonstrate analytical ability, technical interest and a willingness to learn.
WTW is looking for applicants who have:
- Experience using a coding or data-processing language such as Python, R or SQL.
- Strong numerical, analytical and problem-solving skills.
- An interest in machine learning, generative AI and developments in data science.
- The ability to explain technical findings clearly to different audiences.
- Good teamwork and communication skills.
- Curiosity and a willingness to develop new ideas.
- An understanding of the strengths and limitations of AI tools.
Knowledge of Retrieval-Augmented Generation (RAG) and Agentic AI would be beneficial but is not required.
Additional Information
Structured Training and Project Experience
Participants will receive structured early-career training and learn from experienced specialists. The programme combines practical project work with opportunities to develop technical knowledge and understand how data science is applied in insurance consulting.
Graduates will gain exposure to machine-learning development, model assessment, deployment, coding and the use of technology solutions within the insurance market.
Work Location and Attendance
The role is based in either London or Reigate. WTW expects graduates to attend the office at least four days each week because of the importance of in-person learning during the early stages of their careers.
Participants may also be required to travel to other WTW offices or attend client meetings, regardless of their allocated office.
Salary and Benefits
The supplied vacancy does not state the programme’s salary or provide a detailed list of benefits. Applicants should consult WTW’s official recruitment page or contact the employer for further information.
Application Deadline
Applications close on 20 November 2026. Candidates should submit their applications before the deadline and check the official vacancy for any updates.
WTW also states that applicants must submit only one application and select one programme per year.
How to Apply
Interested candidates should visit WTW’s official careers website and search for “2027 Data Scientist Graduate Programme – Insurance Consulting – London/Reigate”, using job reference 202605389.
Applicants should prepare their CV and complete the online application. The stated recruitment process includes an online test and video interview, followed by an in-person assessment centre at the London office. Successful candidates will then proceed to an offer and onboarding.
Apply Now: Visit WTW Careers and search for job reference 202605389.
WTW also provides application and interview adjustments for candidates who need them. Applicants can contact candidatehelpdesk@wtwco.com to discuss accessibility support.
Frequently Asked Questions
Is WTW’s Data Scientist Graduate Programme open for 2027?
The supplied vacancy advertises the 2027 intake, with applications closing on 20 November 2026.
Where is the programme based?
The role is based in London or Reigate, England. The assigned office will be agreed during onboarding.
What is the application deadline?
The closing date is 20 November 2026.
What degree do applicants need?
Applicants need at least a 2:1 degree in a numerate discipline, A-level Mathematics at grade A or above, and at least 136 UCAS points across three A-levels or equivalent qualifications.
Which programming languages are useful?
WTW identifies Python, R, SQL or similar coding and data-processing languages as relevant experience.
Is machine-learning experience required?
The role involves developing, assessing and deploying machine-learning models. Applicants should demonstrate an interest in data science and related technologies, although the supplied vacancy does not specify a minimum period of professional machine-learning experience.
Is knowledge of generative AI required?
An interest in machine learning and generative AI is expected. Knowledge of RAG and Agentic AI is beneficial but not compulsory.
How often must graduates attend the office?
Graduates are expected to attend their office at least four days a week. Travel to other WTW locations or client meetings may also be required.
What is the salary?
The supplied vacancy does not specify the salary. Applicants should check the official listing for updates.
How do I apply?
Visit WTW Careers and search for the programme using job reference 202605389.
Opportunities Feed Assessment
WTW’s Data Scientist Graduate Programme may suit graduates with strong numerical skills and an interest in applying programming and machine learning to real business problems. Its combination of client projects, technical training and insurance analytics offers a practical route into data science consulting.
Applicants should carefully check the academic requirements, particularly the degree classification, Mathematics grade and UCAS points, before applying. They should also be prepared for regular office attendance in London or Reigate.
Disclaimer
Opportunities Feed shares employment and career opportunities for informational purposes. We are not affiliated with WTW and do not recruit on its behalf. Applicants should verify all eligibility criteria, deadlines and application details on the employer’s official website before submitting an application.
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