dunnhumby
Job title:
Analysis Information Scientist
Firm
dunnhumby
Job description
Becoming a member of our workforce, you will work with world class and passionate folks to use machine studying and statistical technqiues to enterprise issues. You will contribute to the analysis and implementation of latest approaches to handle complicated issues and carry out knowledge evaluation and mannequin validation. You will have the chance to current outcomes to quite a lot of inside stakeholders.You’ll apply these methods and algorithms to create dunnhumby science options that may be delivered throughout our shoppers and engineered into science modules.This function shall be focussed on guaranteeing the precise product is within the palms of the client, stretching from how class wants range throughout shops and on-line, figuring out new and rising wants, optimising the combination of merchandise, predicting the affect of modifications and maximising the in-store expertise.What we count on from you
- Grasp’s diploma or equal in Laptop Science, Synthetic Intelligence, Machine Studying, Statistics, Utilized Statistics, Physics, Engineering, Biology or associated area. A PhD in any of those fields is particularly useful
- Expertise with machine studying methods reminiscent of regularised regression, clustering or tree-based ensembles, and the power to implement them via libraries.
- Expertise with programming, ideally Python, and the power to shortly decide up dealing with giant knowledge volumes with fashionable knowledge processing instruments, e.g. through the use of Hadoop / Spark / SQL
- Expertise with or skill to shortly be taught open-source software program together with machine studying packages, reminiscent of Pandas, scikit-learn, together with knowledge visualisation applied sciences.
- Expertise in retail sector can be an added benefit
For additional details about how we gather and use your private info please see our Privateness Discover which might be discovered
Anticipated wage
Location
London
Job date
Wed, 03 Apr 2024 00:10:36 GMT
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