Senior Applied Data Scientist

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 a Senior 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.

You will join our advanced applied data science team, to lead end-to-end data science projects, acting as a subject matter expert for our client team, bridging the world of data science and its business applications.

You’ll investigate, develop, implement, and deploy a range of complex applications and components while working alongside smart colleagues challenging and rewriting the rules, not just following them. This means working on optimization, forecasting, and segmentation problems, quantifying risks and uncertainty and identifying impactful levers to help our clients make smarter decisions.

What we expect from you 

• Experience of applying advanced statistical models and machine learning algorithms to solve a variety of complex problems.
• Working experience ranging between 5-7 years
• Logical thinking and approach to problem solving.
• Advanced analytical skills, Insight Analysis and Data Visualization/Story telling.
• Experience in effectively managing own projects that may including cross-functional and/or international team members.
• Ability to manage analytical work streams for client accounts and coordinate related projects with other team members.
• Excellent Programming skills (Python, SQL, pySpark)
• Experience/ Knowledge of retail domain is good to have
• Master’s degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. 

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 and dh Thrive as the living proof. Everyone’s invited.

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.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)