Related skills
nlp python pandas data visualization machine learning📋 Description
- Create science-based solutions to be used across clients as modules.
- Apply ML approaches to client data (regression, clustering, ensembles, graph methods, NLP, NN).
- Perform exploratory data analysis to characterise and visualise datasets.
- Extend Python and Spark skills to develop efficient science code.
- Identify new DS opportunities for future dunnhumby solutions.
- Follow QA processes and coding standards.
🎯 Requirements
- Master’s degree or equivalent in CS/AI/ML/Statistics/Physics/Engineering or related field.
- Experience with ML techniques: regularised regression, clustering, tree ensembles; implement via libraries.
- Python programming; handle large data with Hadoop/Spark/SQL.
- Experience with Pandas, scikit-learn; data visualization; quick learner of OSS.
- Willingness to present your work to technical and non-technical audiences; contribute to DS community.
- PhD in CS/AI/ML/Statistics/Physics/Engineering or related field (nice to have).
🎁 Benefits
- Flexible working hours and birthday off; comprehensive rewards.
- Cutting-edge tech exposure with global teams and supportive culture.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!