At a Glance
- Tasks: Dive into Data and AI, contributing fresh ideas and innovative solutions from day one.
- Company: Join EXL, a global leader in data and AI innovation with a collaborative culture.
- Benefits: Enjoy competitive salary, private healthcare, and continuous learning opportunities.
- Other info: Flexible hybrid working model and excellent career growth potential.
- Why this job: Shape the future of Data and AI while influencing real business decisions.
- Qualifications: Recent graduates with a passion for data, AI, and problem-solving are encouraged to apply.
The predicted salary is between 28000 - 35000 £ per year.
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.
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:
- Build a strong understanding of EXL's Data and AI capabilities, our industries and our clients.
- 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:
- 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.
Graduate Analyst, Data & AI Innovation in London employer: exl
EXL is an excellent employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and skill enhancement, particularly in the dynamic field of data analytics and insurance. Our commitment to work-life balance and a supportive environment makes EXL a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Analyst, Data & AI Innovation in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like exl when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like exl.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like exl.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through exl’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Analyst, Data & AI Innovation in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at exl, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at exl aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at exl
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
