Location
London, London

Hours
Hybrid working model, blending working from home with office days that vary weekly based on client and team requirements.

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 Work, Rewards & Careers (WRC) business, you’ll contribute to impactful projects from day one. WRC supports clients worldwide in attracting, engaging, and retaining talent by ensuring they have the right people with the right skills at the right cost.

As part of our graduate programme, you will work on complex strategic projects that help clients organise, reward, develop, and retain their workforce. You will develop consulting, practical, and technical skills through our 12-month FAST START training programme. Using creativity and analytical skills, you will turn data into meaningful insights, draft reports with impactful data visualisation, and gain exposure to real client assignments across diverse sectors.

You will listen to client challenges, identify business development opportunities, research prospects, and help develop proposals. You will broaden your understanding of client solutions, digital platforms, and AI applications reshaping the industry. Continuous skill development aligned with your talents and interests is encouraged.

Projects you may contribute to include guiding organisations on pay transparency, conducting pay equity analytics, collaborating with Data & Analytics teams for market pay benchmarking, developing pay philosophies and salary structures, designing incentive programmes, optimising total rewards, leveraging data science for skills insights, implementing job levelling and career frameworks, and improving performance management approaches.

This role offers the opportunity to work across the wider Work & Rewards business and join the journey of harnessing AI to enhance productivity and quality.

Experience
Our graduate programme is designed as a journey of learning and support. No prior professional experience is required, but a natural problem-solving ability and analytical mindset are essential.

About you
- A natural problem solver with a sharp and analytical mind
- Comfortable working with and analysing data to draw meaningful conclusions
- Familiar, at a basic level, with using GenAI platforms to boost productivity and quality
- A confident communicator who builds relationships and collaborates effectively
- Committed to quality and continuous improvement
- An active listener who understands and responds to others’ needs
- Curious and eager to learn new skills and adapt to evolving client needs

Qualifications
At least a 2:1 degree in any discipline