Data Scientist
London, England, United Kingdom
GBP 26K-26K (estimate) Mid-level Full Time
Tasks
- Analyze marketing datasets from multiple vendors
- Build predictive models for lifetime value churn and acquisition cost
- Create automated reporting and dashboards
- Design controlled experiments to validate marketing strategies
- Develop AI agents and automated analytical workflows
- Develop econometric models for marketing effectiveness
- Document methodologies assumptions and findings
- Ensure marketing data quality and implement data processing pipelines
- Implement marketing mix modeling and multi touch attribution
- Integrate GenAI capabilities into marketing analysis workflows
- Productionize analytical models into scalable systems
- Translate business questions into analytical frameworks and statistical models
Perks/Benefits
- Additional paid day off
- Buy and sell holiday
- Hybrid working
- Paid professional development days
- Pension scheme
- Private medical insurance
- Share save scheme
- Wellbeing app subscription
Skills/Tech-stack
A/B | A/B Testing | AIOps | Attribution | B testing | Bayesian Methods | Causal Inference | Churn Prediction | Customer Lifetime Value | Data Pipelines | Data Quality | Data Visualization | Econometrics | Experimental Design | GenAI | Geo-experiments | Google Analytics | Incrementality testing | Language Models | Large Language Models | Lifetime Value | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Multi-Touch Attribution | Multi-touch) | Optimization | PowerBI | Python | Regression Analysis | SQL | Series analysis | Statistical modeling | Tableau | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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