We’re looking for a talented Research Data Scientist who expects more from their career. It’s a chance to extend and improve dunnhumby’s Price & Promotions scientific portfolio. Joining our Price & Promotion Science team, you’ll predominantly work on the designing and building of dunnhumby’s world class advanced demand forecasting models. It’s an opportunity to work with a market-leading business and influence global retailers.

You will also work alongside passionate and expert people to apply machine learning, statistical, and econometric methods to a range of other customer data science problems. You’ll have the opportunity to present your work to both internal teams and clients.

What we expect from you

· Exceptionally strong mathematical and statistical skills.

· Passion about designing predictive models from first principles whenever possible.

· Pragmatic approach to modelling, balancing theoretical validity and practical use.

· Good working knowledge of any of: Maximum likelihood inference, mixed effects models, hierarchical models, Bayesian inference.

 

If the above points resonate with you, it is also likely that you will have:

· A degree or equivalent in a statistical or mathematical subject.

· A postgraduate degree or recent relevant experience of conducting research or mathematical analysis, especially in the domains of statistics, physics, econometrics, or machine learning.

· Ability to prototype solutions using e.g. Python, R, or MATLAB, to facilitate testing of algorithms on large data sets.

· Good understanding of machine learning techniques, with applications to classification, regression, and clustering.

· Working knowledge of databases and SQL