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 a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with excellent career growth opportunities and hands-on experience.
- Why this job: Make a real impact by shaping the future of Data and AI in various industries.
- 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 program 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
- Learning EXL's Data, AI, and Analytics capabilities, solutions, and industry expertise.
- Researching emerging trends across sectors, including Insurance, Retail, Consumer, Healthcare, Life Sciences, and Financial Services.
- Identifying opportunities to apply successful ideas from one industry into another.
- Using AI tools such as Claude and other Gen AI platforms to co-create new concepts, solutions, and client propositions.
- Supporting the development of presentations, thought leadership, and client-facing materials.
- Analyzing market trends, competitor activity, and new technologies.
- Transforming research into clear, engaging, and visually compelling Power Point presentations.
- Helping develop innovative concepts that can be presented through internal innovation forums and idea challenges.
- Working closely with senior leaders and subject matter experts to refine and develop new ideas.
- Contributing 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 modeling.
- 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 Power Point 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
- Power Point
- Excel
- #J-18808-Ljbffr
Graduate Analyst, Data & AI Innovation employer: Cooper & Hall Limited
Unilever is an exceptional employer, offering graduates a unique opportunity to develop their careers through the Cyber Security Leadership Graduate Scheme. With a competitive salary, comprehensive benefits including a relocation package, and a dynamic work culture that fosters innovation and leadership, employees are empowered to grow and thrive in the tech industry. The six rotations provide invaluable hands-on experience, making this programme a stepping stone for future leaders in technology.
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We think this is how you could land Graduate Analyst, Data & AI Innovation
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We think you need these skills to ace Graduate Analyst, Data & AI Innovation
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Cooper & Hall Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.