Senior Data Scientist (Growth / GTM / Analytics)

Rate: £407 per day (Inside of IR35)

Duration: 12 months

• 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.

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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