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nlp sql python pandas machine learning📋 Description
- Create reusable science modules for clients with senior guidance.
- Apply ML methods (regression, clustering, trees, graphs, NLP, NN) to client data.
- Perform EDA to characterise and visualise datasets.
- Develop Python and Spark skills to build efficient science code.
- Identify new Data Science opportunities for future dunnhumby solutions.
- Implement colleagues' advice to resolve challenges.
🎯 Requirements
- Masters degree or equivalent in CS/AI/ML/Statistics or related field.
- Experience with ML techniques (regularised regression, clustering, tree ensembles) and libraries.
- Strong Python experience; handle large data with Hadoop/Spark/SQL.
- Experience with Pandas, scikit-learn and data visualization tools.
- Able to present work to technical and non-technical audiences and contribute to the data science community.
- PhD in CS/AI/ML/Statistics, or related field.
- Retail sector experience.
🎁 Benefits
- Competitive rewards package.
- Flexible working hours.
- Your birthday off.
- Investment in cutting-edge tech and global ambition.
- Inclusive culture with active diversity networks.
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