Related skills
sql python machine learning attribution propensity scoring📋 Description
- Lead data science practice end-to-end; hire, coach, and support the team.
- Shape the product offering and ways of working for data science in marketing.
- Deliver high-impact data work across activation, engineering and insights teams.
- Advise clients on what is possible; translate findings into business impact.
- Foster knowledge sharing, curiosity and quality as the practice grows.
🎯 Requirements
- 5–8 years hands-on data science experience combining depth with client advisory.
- Lead and coach a technical data science team; conduct performance reviews.
- ML expertise in marketing: uplift modelling, propensity, attribution.
- Proficiency in Python and advanced SQL; data modelling and experimentation.
- CRM domain knowledge with Adobe AEP, Salesforce Data Cloud, Braze.
- Cloud platform experience (GCP, AWS, or Azure).
- Excellent communication; engage clients and cross-functional teams.
🎁 Benefits
- Senior leadership role within MAP's data practice; global collaboration.
- Hybrid work model in London with exposure to a global client base.
- Opportunity to shape data strategy and agentic AI initiatives.
- Professional growth through mentoring and diverse projects.
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