Data Scientist – CLV & Next Best Action
Tasks
- Apply machine learning to sequential and behavioural data
- Build and validate predictive models for churn purchase propensity and customer lifetime value
- Collaborate with analytics and engineering to ensure models are scalable and robust
- Communicate model findings to technical and non technical partners
- Develop modern machine learning approaches for customer personalisation
- Translate business needs into modelling hypotheses
Perks/Benefits
- Cycle garage and showers
- Dental scheme
- Free soft drinks
- Hybrid working
- On-site bar
- On-site gym
- Paid time off
- Private medical insurance
- Subsidised café
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Churn Prediction | Customer Lifetime Value | Customer Segmentation | Data Visualization | Domo | Embeddings | Feature Stores | Forecasting | Gradient boosting | Large Datasets | Lifetime Value | Machine Learning | Predictive Modeling | Python | Representation Learning | SQL | Sequence Modeling | Sequence Models | Sequence to sequence | Sequence-to-Sequence Modeling | Tableau | Transformers
Education
Roles
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