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About the Role

This role is the analytical and technical engine for RoCP (Return on Cultural Power), a proprietary platform that proves the commercial return on cultural investment for brands. You will work with leadership to turn methodology into working data products, utilizing AI-assisted development and client-facing interactions.

Responsibilities

• Lead applied data science work for RoCP, transforming methodology into robust models, scorecards, and insight tools.
• Translate strategic questions into analytical approaches, product requirements, and delivery plans.
• Identify, structure, and interrogate relevant data sources across culture, brand, audience, media, and commercial performance.
• Build, test, and improve statistical and machine learning models, ensuring sound judgment on methodology, validation, and interpretation.
• Develop practical data pipelines and analytical workflows in Python and SQL.
• Use AI-assisted development tools to accelerate coding, prototyping, and documentation.
• Translate analytical outputs into clear, compelling client-facing narratives.
• Partner with cross-functional teams to embed RoCP outputs into client work, pitches, and product development.
• Present work confidently to internal stakeholders and client teams, explaining methodology, assumptions, and interpretation.
• Create documentation, guardrails, and reusable assets for the RoCP platform.

Requirements

• Strong grounding in statistics and applied modeling (inference, regression, classification, clustering, model validation).
• Ability to frame problems, choose appropriate methods, and interrogate output trustworthiness.
• Experience working with large, messy real-world datasets.
• Experience presenting analytical work to internal stakeholders (strategists, senior leadership).
• Ability to translate models into plain language and politely push back on data misinterpretations.
• 3+ years of experience working with data in Python and SQL.
• Ability to pull from APIs (REST, OAuth), clean and structure messy data, and build end-to-end pipelines.
• Demonstrable experience shipping working code using AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot).
• Experience with dbt, dimensional modeling, or building analytical data layers (nice-to-have).
• Familiarity with marketing data ecosystems (ad platform APIs, brand tracking, audience data) (nice-to-have).

Skills

• Statistical modeling
• Machine learning
• Python
• SQL
• Data pipelines
• API integration
• Data cleaning
• AI-assisted development
• Data visualization
• Client communication
• dbt (nice-to-have)
• Dimensional modeling (nice-to-have)
• Adtech/Martech exposure (nice-to-have)

Location

• London

Work Type

• Full-time

Experience Level

• 3+ years working with data in Python and SQL

Benefits

• Competitive salary
• 27 days annual holiday
• Private healthcare
• Employer contributory pension
• Life assurance
• Income protection
• Subsidised gym membership
• Learning opportunities around D&I
• Mentoring programmes
• Employee Led Networks and associated events
• Personal development support

About the Company

• M+C Saatchi Group is a creative solutions company connecting specialist expertise, fuelled by data, technology, and culture, to help clients navigate, create, and lead meaningful change.
• The Group operates across five core divisions: Connected Creativity; Passion Marketing; Global & Social Issues; Brand, Experience & Innovation; and Performance Media.
• Headquartered in London, operations span 23 countries with major hubs in the UK, Europe, US, Middle East & Africa, Asia and Australia.
• M+C Saatchi Group’s two principles, Diversity of Thought and Brutal Simplicity of Thought, guide how they build teams and solve problems.

Equal Opportunity

• M+C Saatchi Group is an Equal Opportunity Employer which does not discriminate, celebrates diversity and bases all hiring and promotion decisions solely on talent and capability, without regard for any personal characteristics.
• All employee information is kept confidential according to General Data Protection Regulation (GDPR).