Location
London

Hours
Hybrid working model blending remote work 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 the Work, Rewards & Careers (WRC) business, you will contribute to impactful projects from day one. WRC supports clients worldwide to attract, engage and retain talent by ensuring they have the right people in the right places with the right skills at the right cost. Combining advisory expertise with data and digital tools, you will help companies make critical decisions across diverse industries including financial services, retail, telecoms and energy.

As part of the 12-month FAST START training programme, you will develop consulting, practical and technical skills while working on complex strategic projects. You will use creativity and analytical skills to turn data into meaningful insights, draft reports with impactful data visualisation and storytelling, and gain exposure to real client assignments. You will build relationships with high-profile clients, identify business development opportunities, research prospects and develop proposals.

Your work will include guiding organisations on pay transparency, conducting pay equity analytics, collaborating with Data & Analytics teams on market pay benchmarking, developing pay philosophies and salary structures, designing incentive programmes, optimising total rewards, leveraging data science for skills insights, and implementing job levelling and career frameworks. You will also contribute to improving performance management approaches and harness AI to enhance productivity and quality.

This role offers a challenging and varied experience, providing a strong foundation for a career in a global market leader committed to inclusivity and diversity.

Experience
No prior experience required. This is a graduate programme designed to develop your skills through learning and hands-on experience.

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 the needs of others
- Curious and eager to learn new skills and adapt to evolving client needs

Qualifications
At least a 2:1 degree in any discipline