Related skills
nlp sql python pandas hadoop📋 Description
- Create science-based solutions to be used across clients as modules.
- Apply ML techniques to client data, including NLP and neural networks.
- Perform exploratory data analysis to characterize and visualize datasets.
- Extend programming skills in Python and Spark to develop efficient science code.
- Identify new opportunities within Data Science for future dunnhumby solutions.
- Ensure projects run smoothly with guidance and QA processes.
🎯 Requirements
- Master's degree or equivalent in CS, AI, ML, statistics, physics, or related field.
- Experience with ML techniques (regularised regression, clustering, tree ensembles).
- Proficiency in Python and big data tools (Hadoop/Spark/SQL).
- Experience with Pandas, scikit-learn, and data visualization.
- Able to present work to technical and non-technical audiences.
🎁 Benefits
- Competitive rewards package and flexible working hours.
- Birthday off and other flexible working options.
- Investment in cutting-edge tech and global ambition.
- Nimble, small-business feel with space to experiment.
- Inclusive culture with thriving diversity networks.
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