Senior Data Scientist (Growth / GTM / Analytics)
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Added before 8 Days
- England,London,City of London
- Full Time, Contract
- £407 per day
Job Description:
Senior Data Scientist (Growth / GTM / Analytics) - Global Software Business - London
Rate: £407 per day (Inside of IR35)
Duration: 12 months
Overview
*We are looking for a commercially minded Senior Data Scientist to drive data-led growth across a global, subscription-based business.
*This role focuses on identifying untapped market opportunities, improving customer targeting, and enabling data-driven go-to-market strategies.
*You’ll work at the intersection of Data Science, Sales, Marketing, and Strategy, translating complex data into actionable insights that directly impact revenue growth.
Key Responsibilities
Market Opportunity & Revenue Modelling
*Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments
*Analyse customer and market data to uncover untapped revenue potential
*Deliver insights to support strategic planning and growth initiatives
Customer & Growth Analytics
*Build and deploy propensity models to improve acquisition, upsell, and retention
*Develop customer segmentation frameworks to enhance targeting and campaign effectiveness
*Partner with commercial teams to optimise go-to-market strategies and sales performance
Data Science & Modelling
*Design, develop, and iterate on predictive models that drive measurable business impact
*Apply statistical and machine learning techniques to large, complex datasets
*Ensure models are scalable, interpretable, and aligned with business needs
Data Collaboration & Enablement
*Work closely with Data Engineering teams to productionise models and analytics workflows
*Leverage internal and external datasets to build rich customer intelligence
*Contribute to best practices in data quality, governance, and model monitoring
Stakeholder Engagement
*Translate complex analyses into clear, actionable insights for senior stakeholders
*Present recommendations to influence commercial strategy, pricing, and product decisions
*Act as a trusted partner across technical and business teams
Skills & Experience
*Strong experience in data science or advanced analytics roles (typically 5+ years)
*Advanced SQL skills with experience working on large-scale datasets (e.g. Databricks, Snowflake, BigQuery)
*Proficiency in Python for data analysis, modelling, and experimentation
*Experience building predictive models (e.g. propensity modelling, segmentation, forecasting)
*Demonstrated ability to deliver data-driven solutions that impact revenue or growth
*Strong communication skills with the ability to influence non-technical stakeholders
*Experience working cross-functionally with Sales, Marketing, Product, or Strategy teams
Nice to Have
*Experience in SaaS, subscription-based, or platform businesses
*Exposure to pricing strategy, go-to-market planning, or commercial analytics
*Familiarity with market sizing methodologies
*Experience integrating third-party datasets
What We’re Looking For
*A commercially focused data scientist who prioritises business impact
*Someone comfortable working in ambiguous, fast-paced environments
*A strong communicator who can bridge data, technology, and business strategy
Why Join
*High-impact role with direct influence on revenue growth and strategic decisions
*Opportunity to work on complex, global data challenges
*Collaborative environment across data, product, and commercial teams
Please do send across an up to date CV to
*Rates depend on experience and client requirements
Rate: £407 per day (Inside of IR35)
Duration: 12 months
Overview
*We are looking for a commercially minded Senior Data Scientist to drive data-led growth across a global, subscription-based business.
*This role focuses on identifying untapped market opportunities, improving customer targeting, and enabling data-driven go-to-market strategies.
*You’ll work at the intersection of Data Science, Sales, Marketing, and Strategy, translating complex data into actionable insights that directly impact revenue growth.
Key Responsibilities
Market Opportunity & Revenue Modelling
*Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments
*Analyse customer and market data to uncover untapped revenue potential
*Deliver insights to support strategic planning and growth initiatives
Customer & Growth Analytics
*Build and deploy propensity models to improve acquisition, upsell, and retention
*Develop customer segmentation frameworks to enhance targeting and campaign effectiveness
*Partner with commercial teams to optimise go-to-market strategies and sales performance
Data Science & Modelling
*Design, develop, and iterate on predictive models that drive measurable business impact
*Apply statistical and machine learning techniques to large, complex datasets
*Ensure models are scalable, interpretable, and aligned with business needs
Data Collaboration & Enablement
*Work closely with Data Engineering teams to productionise models and analytics workflows
*Leverage internal and external datasets to build rich customer intelligence
*Contribute to best practices in data quality, governance, and model monitoring
Stakeholder Engagement
*Translate complex analyses into clear, actionable insights for senior stakeholders
*Present recommendations to influence commercial strategy, pricing, and product decisions
*Act as a trusted partner across technical and business teams
Skills & Experience
*Strong experience in data science or advanced analytics roles (typically 5+ years)
*Advanced SQL skills with experience working on large-scale datasets (e.g. Databricks, Snowflake, BigQuery)
*Proficiency in Python for data analysis, modelling, and experimentation
*Experience building predictive models (e.g. propensity modelling, segmentation, forecasting)
*Demonstrated ability to deliver data-driven solutions that impact revenue or growth
*Strong communication skills with the ability to influence non-technical stakeholders
*Experience working cross-functionally with Sales, Marketing, Product, or Strategy teams
Nice to Have
*Experience in SaaS, subscription-based, or platform businesses
*Exposure to pricing strategy, go-to-market planning, or commercial analytics
*Familiarity with market sizing methodologies
*Experience integrating third-party datasets
What We’re Looking For
*A commercially focused data scientist who prioritises business impact
*Someone comfortable working in ambiguous, fast-paced environments
*A strong communicator who can bridge data, technology, and business strategy
Why Join
*High-impact role with direct influence on revenue growth and strategic decisions
*Opportunity to work on complex, global data challenges
*Collaborative environment across data, product, and commercial teams
Please do send across an up to date CV to
*Rates depend on experience and client requirements
Job number 3760842
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