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  "job_description": "Staff Data Scientist\n\nLondon, Hybrid\n\nSalary up to £110,00 plus benefits\n\nThis is an opportunity to take ownership of marketing measurement at scale, building advanced analytics that shape how a high‐growth consumer business invests, learns and optimises. You will have real influence, working directly with senior leaders to define strategy and deliver meaningful commercial impact.\n\nThe Company\n\nThey are a well‐established, product‐led consumer marketplace with a large, engaged user base. Operating in a mobile‐first environment, they place data at the centre of decision making and continue to invest heavily in Marketing Analytics to support ambitious growth plans. They are building out their measurement capabilities and offer the chance to own complex analytical programmes across attribution, incrementality and customer value.\n\nThe Role\n\n• Lead the development of marketing measurement frameworks across paid channels, including attribution, incrementality testing and customer value modelling.\n\n• Build and productionise analytical models in Python or R to support performance optimisation and strategic planning.\n\n• Partner with senior marketing stakeholders to guide investment decisions through clear, data‐driven insight.\n\n• Collaborate with analytics, data engineering and AdTech teams to ensure accurate tracking, robust data foundations and consistent measurement approaches.\n\n• Support BAU reporting and performance monitoring through BI tools, ensuring teams understand key drivers and outcomes.\n\nYour Skills and Experience\n\n• Strong commercial experience in Marketing Analytics within a digital or mobile‐first environment.\n\n• Expertise across paid media channels and the data they generate, including platforms such as Google, Meta and TikTok.\n\n• Hands‐on proficiency with SQL and Python or R, including building models for attribution, LTV and testing methodologies.\n\n• Experience working with mobile measurement partners (such as Branch, Appsflyer or Kochava).\n\n• Strong communication skills and the ability to simplify complex analysis for non‐technical audiences.\n\nHOW TO APPLY:\n\nApply by sending your CV to Joe by the link below",
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  "job_posted_at_datetime_utc": "2026-03-18T00:00:00.000Z"
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