At a Glance
- Tasks: Transform complex data into actionable insights using machine learning and creativity.
- Company: Join dunnhumby, a global leader in Customer Data Science with a collaborative culture.
- Benefits: Enjoy flexible working hours, your birthday off, and a comprehensive rewards package.
- Other info: Be part of a diverse team committed to inclusion and personal growth.
- Why this job: Make a real impact on client decisions and shape innovative data solutions.
- Qualifications: Degree in relevant field and programming skills in Python and SQL required.
The predicted salary is between 50000 - 70000 £ 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 employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for an Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling, actionable insights—leveraging the best of machine learning alongside human creativity to deliver impactful solutions for clients.
Joining our advanced data science team, you’ll not only investigate, develop, implement, and deploy complex models and applications, but also play a key role in transforming how clients work with data. You will help embed data-driven thinking into their decision‑making processes, enabling more informed, strategic, and scalable outcomes.
Working alongside a team of forward‑thinking experts, you’ll challenge conventional approaches, shape innovative solutions, and actively redefine how organizations harness data—not just to solve problems, but to fundamentally improve how decisions are made.
What we expect from you:
- Degree in Statistics, Maths, Physics, Economics or similar field
- Programming skills (Python and SQL are a must have)
- Analytical Techniques and Technology
- Logical thinking and problem solving
- Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact
- Statistical Modelling and experience of applying data science into client problems.
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 the 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.
Applied Data Scientist in London employer: dunnhumby
At dunnhumby, we pride ourselves on being a leading employer in the field of Customer Data Science, offering an inspiring work culture that champions innovation and collaboration. Our commitment to employee growth is evident through our investment in cutting-edge technology and flexible working arrangements, allowing you to thrive both professionally and personally. With a diverse and inclusive environment, we empower our team members to make a meaningful impact while enjoying thoughtful perks like flexible hours and your birthday off.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at dunnhumby on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to showcase how you've used these in real-world scenarios, especially in relation to customer data science.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, be prepared to discuss specific challenges you've tackled using data science. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the dunnhumby team.
We think you need these skills to ace Applied Data Scientist in London
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data science! Share specific examples of how you've used data to solve real-world problems or improve customer experiences. This will help us understand your connection to the role.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Applied Data Scientist position. Highlight relevant skills like Python, SQL, and any statistical modelling experience. We want to see how your background aligns with what we're looking for!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at dunnhumby
✨Know Your Data Science Stuff
Make sure you brush up on your statistics, machine learning, and programming skills, especially in Python and SQL. Be ready to discuss how you've applied these skills in real-world scenarios, as this will show your practical understanding of the role.
✨Understand the Company’s Mission
Dive deep into dunnhumby’s approach to Customer Data Science. Familiarise yourself with their key clients and how they leverage data to drive customer-centric decisions. This knowledge will help you align your answers with their values and demonstrate your genuine interest in the company.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your logical thinking and problem-solving abilities. Practice articulating your thought process clearly when tackling complex problems, as this will showcase your analytical skills and how you can distil insights from data.
✨Show Your Passion for Impact
Be ready to share examples of how your work has made a tangible impact on customer experiences. Highlight any projects where you’ve connected data science to real-world outcomes, as this aligns perfectly with dunnhumby’s focus on delivering measurable value.
