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 are looking for an Applied Data Scientist requiring a balance of both technical competency and client facing skills. The candidate must be motivated to engage with the client to understand their business questions and to conduct the analysis. The successful candidate will take responsibility for performing the technical exercise of gathering the data, interpreting them into insights and delivering clear and compelling results.

You’ll have the opportunity to learn amongst a community of the Data Scientists and we offer extensive training opportunities for both technical & soft skills. You’ll have access to varied, large & complex data sets, and perform analysis using Python and Spark

What you'll be doing:

• Using cutting-edge data science and machine learning methodologies to tackle complex business problems and deliver insights that resonate with our clients.
• Working on the best data set in the FMCG industry, using advanced analytical capabilities and benefiting from the learning of our 500 Data Scientists globally.
• Investigate and implement the most appropriate analytical techniques for each project, re-using and further developing global solutions or code written by others.
• Deploy data science and machine learning algorithms and market products on chosen tech stack for efficient and cost-effective delivery.
• Build strong relationships with clients and colleagues to ensure full understanding of client requirements, ensuring clear and effective communication.
• Participate in client meetings to help explain the proposed methodology and solutions.

What we expect from you

• University degree in technology, natural sciences, or social sciences
• 2 to 3 years of experience with programming in work/business environment
• Experience with Object-oriented Programming using Python or PySpark (Candidates with R, Java etc. are also welcomed.),
• Proficiency in using relational databases and SQL
• Analytical thinking and problem solving
• Statistical Modelling and experience of applying data science into client problems.
• English and Hungarian or Slovak or Czech as alternative languages required

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)