Senior Research Data Scientist

Job title:

Senior Research Data Scientist

Company

dunnhumby

Job description

We’re looking for a talented Senior Research Data Scientist who expects more from their career. It’s a chance to extend and improve dunnhumby’s Price & Promotions scientific portfolio. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.Joining our Data Science team, you’ll work with world class and passionate people to apply machine learning, statistical, and econometrics methods to business problems. You’ll contribute to the research and implementation of new approaches to by developing mathematical models, creative methods to address new and complex problems and perform data analysis and model validation. You’ll also have the opportunity to present analysis to both internal teams and clients.What we expect from you· Keen interest in analysing customer data and researching novel approaches to build Statistical model.· Good working knowledge of statistical techniques, such as Maximum Likelihood Theory.· Passion about designing generative models from first principles whenever possible.· Working knowledge of using technologies to process big data.· A collaborative approach working across multiple teams likeo Applied Data Scientists – to help our client partners in adopting new research work.o Data Science Engineers – to build robust and highly scalable solutions.· Interest in utilising innovative open-source packages (e.g. time series forecasting) to solve real world problems.If the above points resonate with you, it is also likely that you will have:· Master’s degree / PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field.· Ability to prototype solutions using e.g. Python or R to facilitate testing of algorithms on large data sets.· Good understanding of machine learning techniques, with applications to classification, regression, and clustering.· Good understanding of software engineering principles and best practices.

Expected salary

Location

Manchester

Job date

Thu, 02 May 2024 22:08:20 GMT

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