Company Overview
About the job
dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.
Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.
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, Meijer, Procter & Gamble 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 insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.
Our team is focused on delivering great insights to Tesco UK using the wealth of transactional and clickstream data. We work collaboratively with our client leadership teams to answer client questions and build solutions that are re-usable and scalable.
What We Expect From You
- Degree in Statistics, Maths, Physics, Economics or similar field
- 2-5 years of experience required
- Programming skills (Python and SQL are a must have, Pyspark is recommended)
- Analytical Techniques and Technology
- Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact.
- Logical thinking and problem solving
- Strong communication skills
- Statistical Modelling and experience of applying data science into client problems.
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