Data Scientist - Forecasting
Tasks
- Analyze large scale behavioural data
- Build predictive churn models
- Build purchase propensity models
- Collaborate with cross functional engineering product and commercial teams
- Communicate findings to technical and non-technical audiences
- Develop advanced modeling approaches including deep learning and sequence models
- Develop customer lifetime value models
- Generate store recommendation insights
- Own development and delivery of machine learning models
- Support data driven decision making with stakeholders
- Translate business problems into modeling approaches
Perks/Benefits
- Cycle garage and showers
- Dental scheme
- Free soft drinks
- Holiday 25 days
- On-site bar
- On-site gym
- Private medical insurance
- Subsidised café
Skills/Tech-stack
Churn Prediction | Clustering | Customer Lifetime Value | Data Pipelines | Decision Tree | Deep learning | Embeddings | Lifetime Value | MLOps | Machine Learning | PySpark | Python | Random Forest | Regression | SQL | Sequence Models
Education
Roles
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