Senior Data Scientist (Growth / GTM / Analytics)

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 [email removed]
*Rates depend on experience and client requirements