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- Tasks: Join our Graduate Programme to shape the future of data science and gain hands-on experience.
- Company: dunnhumby, a global leader in Customer Data Science with a collaborative culture.
- Benefits: Flexible working hours, birthday off, and investment in cutting-edge technology.
- Why this job: Make a real impact while working with iconic brands like Tesco and Coca-Cola.
- Qualifications: 2.1 degree in a STEM subject and strong analytical skills required.
- Other info: Inclusive environment with opportunities for personal and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby is looking for talented individuals to join our 2026 Data Science Graduate Programme! As part of the Graduate Programme, you will be involved in shaping our platform for the future, whilst also gaining knowledge and experience of different areas of dunnhumby. The dh Data Science Graduate Programme will explore the Applied Data Science and Data Science Engineering teams during two rotations over a 12-month period. You will rotate through the core roles of an Applied Data Scientist, who executes projects to provide compelling insights and a Data Science Engineer, who creates science products and software to use across dunnhumby.
What we expect from you:
- Hold/expect to achieve a 2.1 or equivalent in an undergraduate degree in a STEM or numerate subject e.g. Engineering, Stats, Maths, Computer Science, Data Science, Chemistry, Physics or Economics.
- Experience of using a range of analytical techniques.
- The ability to use logic and problem-solving skills.
- Strong communication and presentation skills.
- Ability to build and maintain good working relationships.
What you can expect from us:
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small‑business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working:
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work/life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
Associate Data Scientist - Graduate Programme employer: Dunnhumby
Contact Detail:
Dunnhumby Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Scientist - Graduate Programme
✨Tip Number 1
Network like a pro! Reach out to current or former employees at dunnhumby on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections that can help us stand out!
✨Tip Number 2
Prepare for those interviews by practising common data science questions. We can’t stress enough how important it is to showcase your analytical skills and problem-solving abilities. Use real-world examples from your studies or projects to demonstrate your expertise.
✨Tip Number 3
Don’t forget to show off your communication skills! During interviews, make sure to explain your thought process clearly when discussing technical concepts. Remember, it’s not just about what you know, but how well you can share that knowledge with others.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s get you on board for that Graduate Programme!
We think you need these skills to ace Associate Data Scientist - Graduate Programme
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate Data Scientist role. Highlight relevant skills and experiences that align with the job description, especially in analytical techniques and problem-solving.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background makes you a great fit for our Graduate Programme. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any projects related to data science, make sure to mention them! Whether it's coursework, internships, or personal projects, we want to see how you've applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role and our company!
How to prepare for a job interview at Dunnhumby
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals. Be ready to discuss analytical techniques you've used and how they apply to real-world problems. This will show that you not only understand the theory but can also put it into practice.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some hypothetical scenarios during the interview. Think about how you would approach a data-related problem, and be ready to explain your thought process clearly. This is your chance to demonstrate your logical reasoning and analytical skills.
✨Communicate Effectively
Strong communication is key in this role. Practice explaining complex data concepts in simple terms. You might be asked to present your findings or insights, so being able to articulate your thoughts clearly will set you apart from other candidates.
✨Build Rapport with Interviewers
Remember, interviews are a two-way street! Engage with your interviewers, ask questions about their experiences at dunnhumby, and show genuine interest in the company culture. Building a good rapport can leave a lasting impression and demonstrate your ability to work well with others.
