Rewards Data & Intelligence Consulting Graduate Programme

WTW Graduate Rewards Data & Intelligence Consultant role using data analytics, compensation benchmarking, dashboards and AI tools to help clients make workforce, pay and talent decisions.

Description

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. Joining our Rewards Data & Intelligence (RDI) business, you’ll be part of this impact right from the start.

In RDI, we help clients worldwide deliver strong business results by ensuring that they have the right people in the right places, with the right skills and at the right cost. We help them unearth new ways to attract, engage and retain talent. Combining our advisory expertise with data and digital tools, we connect with colleagues around the world to support companies in making big decisions at critical moments.

With a breadth of products and clients in industries ranging from financial services and retail to tech and energy, RDI is a fascinating field in which to build a career. So come and start building your future with a global market leader.

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. We are an equal opportunity employer committed to fostering an inclusive 

Responsibilities:

Our graduate programme will see you making an immediate contribution to a range of complex data analytics and insight projects. Working with market-leading data, digital tools and GenAI, and learning from experienced consultants, you’ll:

• Develop your consulting, practical and technical skills on our 12-month FAST START training programme

• Gain exposure to real client assignments, with opportunities to begin building relationships with high-profile clients across a range of sectors

• Use your creativity and analytical skills to turn data into meaningful conclusions and insights

• Work with companies to understand and qualify the impact of their compensation strategy using data analytics and dashboards

• Listen to client challenges and help to identify business development opportunities, research prospects and develop proposals using AI-driven insights

• Collaborate with our Data & Analytics team to provide clients with market pay benchmarking and data insights

• Support our digital transition to automated job matching to streamline clients’ survey data submission process

• Work alongside our industry experts to develop your own industry expertise

• Support the publication of our market surveys and help our clients get the most out of the results, providing survey and compensation consulting support throughout the full survey cycle

• Broaden your understanding of our client solutions and the digital platforms and AI applications that are reshaping our industry

Not only will you have the opportunity to work on projects that involve our wider Work & Rewards practice, but you’ll also join our journey as we harness the power of AI to enhance our productivity and quality.

Qualifications

Requirements:

Our graduate programmes are journeys of learning, experience and support. To transform your tomorrow with WTW, you’ll need to be:

• 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 of tasks

• A confident communicator who knows how to build relationships and collaborate effectively

• Committed to quality, continuously working to achieve the highest excellence standards

• An active listener who can understand and respond to the needs of others

• Curious and eager to learn new skills and apply them to the ever-changing needs of our clients

• At least 2:1 degree-qualified in any discipline

Closing Date: 21st October 2026

Workstyles:

We work on a hybrid basis, blending working at home with working in the office. Office days will change weekly based on client and team requirement.