Commercial Data Scientist
Tasks
- Build machine learning models for customer segmentation
- Design and engineer features
- Embed data science and experimentation best practice
- Lead A/B testing
- Measure incrementality uplift and ROI
- Operationalise models for campaign targeting and activation
- Partner with CRM teams to operationalise model outputs
- Present insights to senior leadership
- Quantify commercial impact
- Run test and learn experimentation
- Translate analytical outputs into commercial narratives
- Validate and maintain machine learning models
Perks/Benefits
- Annual leave
- Buy and sell holiday scheme
- Contributory pension
- Cycle to work scheme
- DBS Check
- Discounted doctor services
- Discounted gym memberships
- Employee assistance programme
- Employee discount
- Employee discount platform
- Enhanced maternity pay
- Enhanced paternity pay
- Flexible hybrid working
- Green Car Scheme
- Hybrid working
- Long service awards
- Mental health support
- Occupational sick pay
- Private healthcare insurance
- Professional registration fees covered
- Refer a friend bonuses
- Regular social events
- Training and professional development
Skills/Tech-stack
A/B | A/B Testing | B testing | CRM | Churn Prediction | Classification | Cloud Machine Learning | Clustering | Customer Journey | Customer Journey Analytics | Customer Segmentation | Data Storytelling | Data Visualization | Experiment design | Feature Engineering | Git | Incrementality | Journey Analytics | Machine Learning | Marketing Automation | Matplotlib | NumPy | Pandas | Propensity Modeling | Python | Regression | SQL | Scikit-learn | Seaborn | Transactional Data
Education
N/A
Roles
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