Related skills
sql python pandas hadoop spark📋 Description
- Create science-based solutions across clients as reusable modules.
- Apply ML techniques: regularised regression, clustering, tree ensembles, NLP, graph methods, neural nets.
- Perform exploratory data analysis to characterise/visualise datasets.
- Extend Python and Spark code to develop efficient science modules.
- Identify new opportunities within Data Science for future dunnhumby solutions.
- Present results to internal stakeholders; follow QA and coding standards.
🎯 Requirements
- Master’s degree or equivalent in CS/AI/ML/Statistics/Physics/Engineering or related field.
- Experience with ML techniques and libraries (regression, clustering, ensembles).
- Python and handling large data with Hadoop/Spark/SQL.
- Open-source ML packages (Pandas, scikit-learn) and data visualisation.
- Willingness to present work to technical and non-technical audiences.
- PhD or retail sector experience is a plus.
🎁 Benefits
- Rewards package and flexible working hours.
- Birthday off; thoughtful perks and cutting-edge tech investment.
- Global ambition with a nimble, small-business feel.
- Inclusive culture with networks for diversity and inclusion.
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