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Job Description: EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.

We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com .

Position: Graduate Analyst, Data & AI Innovation

Location: London, United Kingdom (Hybrid, 3 to 4 days per week in the office)
Employment Type : Permanent
Experience: Graduate to 1 year
Start Date: ASAP

Launch your career in Data, AI and Innovation

Are you a recent graduate with a passion for mathematics, data, AI and solving real business problems?

At EXL, we are looking for ambitious graduates who bring fresh thinking, curiosity and confidence. This is not a traditional graduate programme where you spend months observing. From day one, you will contribute ideas, research emerging trends, work with AI technologies and help shape how we bring innovative Data and AI solutions to market.

If you enjoy presenting ideas, asking questions, challenging conventional thinking and learning quickly, this could be the ideal opportunity.

What you'll be doing

During your first few months, you will build a strong understanding of EXL's Data and AI capabilities, our industries and our clients. As your knowledge grows, you'll begin contributing to innovation initiatives across the business.

As part of your duties, you will be responsible for:

• Learn EXL's Data, AI and Analytics capabilities, solutions and industry expertise.
• Research emerging trends across sectors including Insurance, Retail, Consumer, Healthcare, Life Sciences and Financial Services.
• Identify opportunities to apply successful ideas from one industry into another.
• Use AI tools such as Claude and other GenAI platforms to co-create new concepts, solutions and client propositions.
• Support the development of presentations, thought leadership and client-facing materials.
• Analyse market trends, competitor activity and new technologies.
• Transform research into clear, engaging and visually compelling PowerPoint presentations.
• Help develop innovative concepts that can be presented through internal innovation forums and idea challenges.
• Work closely with senior leaders and subject matter experts to refine and develop new ideas.
• Contribute to projects that help shape EXL's future Data and AI offerings.

Qualifications and experience we consider to be essential for the role

We are far more interested in your potential than previous industry experience.

You'll be someone who:

• Has recently completed a Bachelor's or Master's degree, ideally in Mathematics or a highly analytical discipline.
• Has a strong academic foundation in mathematics, statistics, data analytics or AI.
• Has completed university projects involving data analysis, machine learning, AI or mathematical modelling.
• Is naturally curious and enjoys researching new technologies and industries.
• Is confident communicating ideas to different audiences.
• Has excellent presentation and storytelling skills.
• Can create engaging PowerPoint presentations with strong visual communication.
• Is proactive, energetic and enthusiastic.
• Is comfortable speaking up, sharing ideas and learning through experimentation.
• Has a growth mindset and enjoys solving complex problems.
• Works well both independently and within collaborative teams.

Technical skills

Exposure to some of the following would be beneficial:

• Data Analytics
• Artificial Intelligence / Generative AI
• Mathematics and Statistics
• PowerPoint
• Excel
• Python (desirable)
• SQL (desirable)
• Data visualisation tools (desirable)

Why join EXL?

This is an opportunity to help shape the future of Data and AI within a global organisation.

You'll benefit from:

• A structured graduate career path.
• Exposure to senior business leaders.
• Hands-on experience with AI technologies.
• Opportunities to influence real business decisions.
• A collaborative and supportive team.
• Continuous learning and development.
• The chance to turn your ideas into real solutions that can be taken to market.

As part of a leading global data and artificial intelligence ("AI") company, you can look forward to:

• A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
• EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.
• At EXL , we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees can enhance their skills and stay up to date with the latest trends and technologies.
• As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.
• EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).
• At EXL , we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.

To be considered for this role, you must already be eligible to work in the United Kingdom.