Research Data Scientist

We’re looking for a talented Research Data Scientist who expects more from their career  

You will be at the forefront of dunnhumby’s research data science team where you will be translating a complex business problem into a data science problem and solving that with scalable and state-of-the art AI algorithms. Joining our research data science team, you will be helping identify new opportunities within the Data Science space for future dunnhumby solutions. Learn from experts and grow your career in our organisation 

What we expect from you 

Degree or equivalent in a statistical or mathematical subject.

• 2-5 Years of experience in Data Science  

• Good understanding of statistics and mathematical methodologies used – especially forecasting, regression, linear models, time series, hypothesis tests and optimisation  

• Ability to prototype solutions using Python and Spark to facilitate development and testing of algorithms on large data sets 

• Good understanding of machine learning techniques, with applications to classification, prediction and clustering 

• Ability to apply and extend experimental design methodology to conduct rigorous measurement of treatment effects 

• Good working knowledge of databases, including SQL, relational and non-relational data models 

• Experience of using following algorithm at scale: Ancova, linear models with regularization, clustering, random forests, xgboost  

• Research the latest machine learning approaches 

• Good grasp of Object-Oriented Programming 
• Ability to quickly learn open-source statistics and machine learning packages – Pandas, SciPy, Scikit - learning, Tensor flow.