Senior Manager - Data Science (Martech/CRM)
London, England, United Kingdom
GBP 70K-81K (estimate) Senior-level Full Time
Tasks
- Advise clients on data science strategy
- Apply CRM and marketing domain expertise
- Apply causal inference methods
- Build next best action models
- Build recommender systems
- Build reusable accelerators and guidelines
- Build training and inference pipelines
- Champion agentic AI delivery
- Coach teams on AI native engineering practices
- Collaborate with data engineers and architects
- Create segmentation models
- Design agentic solutions for production
- Design and ship machine learning models
- Develop attribution models
- Develop experimentation frameworks
- Ensure statistical rigor and reproducibility
- Implement propensity scoring
- Lead data science practice end to end
- Lead end to end model development and validation
- Maintain backlog of data science use cases
- Manage and grow data science team
- Perform uplift modeling
- Scope data science projects and proposals
- Translate findings into business recommendations
Perks/Benefits
Skills/Tech-stack
AI Assisted Development | AI-native | AI-native engineering | AWS | Adobe Experience | Adobe Experience Platform | Agentic AI | Attribution Modeling | Azure | Braze | CCPA | CRM Analytics | Causal Inference | Classification | Cloud Computing | Clustering | Context engineering | Data Governance | Data Modeling | Data Pipelines | ELT | ETL | Experience Platform | Experiment design | GCP | GDPR | Generative AI | Hypothesis Testing | Machine Learning | Marketing Automation | Next Best Action | NoSQL | Personalization | Prompt engineering | Propensity scoring | Python | Recommender Systems | Regression | SQL | Salesforce | Segmentation | Uplift Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Science | Data Science Manager | Data Scientist | Manager | Scientist | Senior Data Scientist
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