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About the Role
Join our Insurance Consulting and Technology (ICT) team, which uniquely combines deep insurance consulting expertise with innovative technology. Work across major actuarial pillars within Property and Casualty (P&C), including reserving, capital, and pricing, as well as broader areas like data science, process transformation, risk and regulatory, climate, exposure management, underwriting, and claims analytics. Engage in both client projects and research/product development.
Responsibilities
- Analyze data and produce insightful results using data science techniques.
- Present 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.
- 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.
Requirements
- Highly numerate and analytical, with an interest in drawing value from data and applying skills to complex commercial problems.
- Experienced in a coding or data-processing language such as Python, R, SQL, or similar.
- Genuinely interested in data science advancements, such as Machine Learning and Generative AI.
- Clear and confident communicator capable of making complex ideas understandable and engaging.
- Personable, approachable, and motivated to work as part of a supportive team.
- 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.
- 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 (e.g., AAB or A*AC).
Skills
- Data science techniques
- Machine learning models
- High-quality code writing
- Open-source tools and technology
- WTW’s proprietary insurance technology solutions
- Python
- R
- SQL
- AI tools
- Retrieval-Augmented Generation (RAG)
- Agentic AI
Location
- London
- Reigate
Work Type
- Office-based (at least four days a week)
- Travel to other WTW locations may be expected
Experience Level
- Graduate
Education Level
- 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
About the Company
- With 49,000 colleagues in over 140 countries, we help organisations make forward-thinking choices about their people, their investments and the risks they face.
- 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.
- At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day.
Equal Opportunity
- We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.
- We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants.
- We are committed to maintaining a fair and equitable process for all candidates.