WTW
2027 Work, Reward & Career (WRC) Consulting Graduate Programme, London
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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 Work, Rewards & Careers (WRC) business, you’ll be part of this impact right from the start.
In WRC, 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 telecoms and energy, WRC is one of the most diverse parts of our company. It's also 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 work environment throughout our organisation. We embrace all types of diversity.
Responsibilities:
Our graduate programme will see you making an immediate and valuable contribution to complex strategic projects that help our clients organise, reward, develop and retain their people. 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
- Use your creativity and analytical skills to turn data into meaningful conclusions and insights
- Draft reports and exhibits that incorporate impactful data visualisation and storytelling for clients
- Gain exposure to real client assignments, with opportunities to begin building relationships with high-profile clients across a range of sectors
- Listen to client challenges and help to identify business development opportunities, research prospects and develop proposals
- Broaden your understanding of our client solutions and the digital platforms and AI applications that are reshaping our industry
- Continuously develop your skills in the areas that align with your talents and interests
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The work we do in WRC is challenging and hugely varied. You’ll make an important contribution to data-led projects such as:
- Guiding organisations on their pay transparency journey, conducting pay equity analytics and creating strategies to address areas of concern
- Collaborating with our Data & Analytics team to provide clients with market pay benchmarking and strategic insights
- Developing pay philosophies, principles and salary structure designs that help clients balance internal equity and external competitiveness
- Using data analytics and financial trends to help companies understand and qualify their compensation strategies
- Designing, modelling, and implementing high-impact annual incentive programmes, including sales incentive plans
- Helping clients to optimise their total rewards programmes, considering both employee preferences and costs
- Drawing on our data science capabilities to provide clients with insights into current and future skills in their markets
- Designing and implementing job levelling, job architecture and career framework solutions that will unlock employee career journeys for our clients
- Reviewing and improving our clients’ approach to performance management
Not only will you have the opportunity to work on projects that involve our wider Work & Rewards business, 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:
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- 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
*** Please note that we do not accept multiple applications and you should only select and apply to one programme per year***
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.
The Application Process:
Stage 1: Apply online and attach your CV
Stage 2: Complete an online test and video interview
Stage 3: Attend a virtual assessment centre, where you’ll meet members of the team
Stage 4: Offer and onboarding
We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com
We are committed to maintaining a fair and equitable process for all candidates – read our AI Guidance [https://nam11.safelinks.protection.outlook.com/?url=https://careers.wtwco.com/candidate-ai-guidance&data=05|02|Chloe.Marinaro@wtwco.com|7f2ac79678cd4d54a40b08dee96fde58|76e3921f489b4b7e95479ea297add9b5|0|0|639204863842785913|Unknown|TWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ==|0|||&sdata=66+A95RPkrzqjL6BZLdiNKSUSWbv+Wz/yxmSCFBwDcc=&reserved=0].
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