At a Glance
- Tasks: Transform complex data into actionable insights using advanced machine learning techniques.
- 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: Work in a dynamic environment with opportunities for personal growth and development.
- Why this job: Make a real impact on iconic brands like Tesco and Coca-Cola while driving innovative solutions.
- Qualifications: Degree in a relevant field and strong programming skills in Python and SQL.
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. This is an opportunity to apply your expertise to distill complex problems into meaningful, actionable insights – leveraging world‑first science, cutting‑edge machine learning techniques and human creativity to deliver impactful solutions for clients.
Joining our advanced data science team, you’ll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them.
Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re‑usable, scalable and deliver measurable value. You’ll drive change, shape innovative solutions, and actively redefine how organizations harness data.
What We Expect From You
- Degree in Statistics, Maths, Physics, Economics or similar field
- Strong programming skills – Python and SQL are essential
- Experience with version control tools (e.g. GIT)
- Solid understanding of analytical technologies, tools, and techniques
- Logical thinking and problem solving
- Strong communication skills
- 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
- Background in retail analytics (especially exposure to Category Management) is advantageous
What You Can Expect From Us
We won’t just meet your expectations. We’ll defy them. You’ll enjoy a comprehensive rewards package you’d expect from a leading technology company, along with personal flexibility and thoughtful perks such as 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.
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: Limelight Health
At dunnhumby, we pride ourselves on being a leading employer in the field of Customer Data Science, offering an inspiring work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our investment in cutting-edge technology and flexible working arrangements, allowing you to balance your career with personal commitments. Join us in our vibrant office environment where you can make a tangible impact while working alongside some of the brightest minds in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Data Scientist in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at dunnhumby. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give you an edge and show how you can tackle real-world problems.
✨Ace the Interview
Prepare for your interviews by practising common data science questions and case studies. Be ready to discuss how you've used statistical modelling to solve client problems, and don’t forget to highlight your communication skills!
✨Apply Through Our Website
Make sure to apply directly through the dunnhumby website. It shows you're genuinely interested and gives you a better chance of being noticed by the hiring team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Applied Data Scientist in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills in Python and SQL. We want to see how you can apply these skills to real-world problems, so don’t hold back on showcasing your experience!
Tailor Your Application:Take a moment to customise your application for the Applied Data Scientist role. Mention specific projects or experiences that relate to category management or retail analytics, as this will show us you understand what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate strong communication skills, so make sure your ideas come across effectively without unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Limelight Health
✨Know Your Data Science Stuff
Make sure you brush up on your statistics, machine learning techniques, and programming skills in Python and SQL. Be ready to discuss how you've applied these skills in real-world scenarios, especially in retail analytics or category management.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your logical thinking and analytical abilities.
✨Connect with the Customer Experience
Dunnhumby is all about putting the customer at the heart of every decision. Think of examples where your work has directly impacted customer experience and be ready to share those stories during the interview.
✨Be Ready for Collaboration
Since you'll be working closely with clients and colleagues, demonstrate your strong communication skills. Prepare to discuss how you've successfully collaborated in the past and how you can contribute to a team environment.
