{"id":1484618,"url":"https://alion.io/job/salt-senior-data-scientist-growth-gtm-analytics","title":"Senior Data Scientist (Growth / GTM / Analytics)","company":{"id":1935342,"name":"Salt","domain":"welovesalt.com","url":"https://alion.io/company/welovesalt","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":{"grade":"A","score":95,"open_postings":1224,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":146,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":407,"max":null,"currency":"GBP","period":"day","gross":null,"usd_annual":134500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-05-18T00:00:00Z","employer_posted_date":"2026-05-26","last_verified_at":"2026-09-29T22:22:26Z","board_verified":false,"closed_at":null,"days_open":165,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":164},"description":"Senior Data Scientist (Growth / GTM / Analytics) - Global Software Business - LondonRate: £407 per day (Inside of IR35)\nDuration: 12 months Overview We are looking for a commercially minded Senior Data Scientist to drive data-led growth across a global, subscription-based business.\nThis role focuses on identifying untapped market opportunities, improving customer targeting, and enabling data-driven go-to-market strategies.\nYou’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\nMarket Opportunity & Revenue Modelling Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments\nAnalyse customer and market data to uncover untapped revenue potential\nDeliver insights to support strategic planning and growth initiatives Customer & Growth Analytics Build and deploy propensity models to improve acquisition, upsell, and retention\nDevelop customer segmentation frameworks to enhance targeting and campaign effectiveness\nPartner 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\nApply statistical and machine learning techniques to large, complex datasets\nEnsure models are scalable, interpretable, and aligned with business needs Data Collaboration & Enablement Work closely with Data Engineering teams to productionise models and analytics workflows\nLeverage internal and external datasets to build rich customer intelligence\nContribute to best practices in data quality, governance, and model monitoring Stakeholder Engagement Translate complex analyses into clear, actionable insights for senior stakeholders\nPresent recommendations to influence commercial strategy, pricing, and product decisions\nAct as a trusted partner across technical and business teams\nSkills & Experience Strong experience in data science or advanced analytics roles (typically 5+ years)\nAdvanced SQL skills with experience working on large-scale datasets (e.g. Databricks, Snowflake, BigQuery)\nProficiency in Python for data analysis, modelling, and experimentation\nExperience building predictive models (e.g. propensity modelling, segmentation, forecasting)\nDemonstrated ability to deliver data-driven solutions that impact revenue or growth\nStrong communication skills with the ability to influence non-technical stakeholders\nExperience working cross-functionally with Sales, Marketing, Product, or Strategy teams Nice to Have Experience in SaaS, subscription-based, or platform businesses\nExposure to pricing strategy, go-to-market planning, or commercial analytics\nFamiliarity with market sizing methodologies\nExperience integrating third-party datasets What We’re Looking For A commercially focused data scientist who prioritises business impact\nSomeone comfortable working in ambiguous, fast-paced environments\nA strong communicator who can bridge data, technology, and business strategy Why Join High-impact role with direct influence on revenue growth and strategic decisions\nOpportunity to work on complex, global data challenges\nCollaborative environment across data, product, and commercial teams Please do send across an up to date CV to \n*Rates depend on experience and client 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