Data Scientist

Data ScientistBusiness-Focused | Marketing Analytics | High Ownership | Scale-Up EnvironmentWe’re partnering with a fast-growing, data-driven company that is expanding its Data Science team. This is an opportunity to join a highly collaborative environment where data plays a central role in shaping commercial and marketing decisions.This is not an ML engineering role.We’re looking for a business-oriented Data Scientist who thrives on solving real commercial problems - someone who can translate ambiguity into structure and turn data into measurable value.Why this role is exciting?You’ll work directly with senior stakeholders and marketing teams.You’ll build new capabilities in an area that’s still largely untapped.You won’t be siloed in an isolated data team - you’ll operate as a strategic partner.You’ll have the autonomy to define problems, shape solutions, and influence outcomes.You’ll join a lean, collaborative environment where impact matters more than hierarchy.If you enjoy working hands-on, owning problems end-to-end, and seeing your work drive commercial outcomes - this will suit you well.What you’ll be doing?Translating business and marketing challenges into structured data science problemsDefining success metrics and measurable impactDesigning and executing analytical approaches (segmentation, prediction, experimentation, optimisation)Working closely with commercial and marketing stakeholdersCommunicating insights clearly to non-technical audiencesContributing to both new marketing initiatives and existing ML use casesYou’ll be treated as a thought partner - not just someone who “builds models.”What we’re looking for?Core Profile2+ years of experience in a Data Science or advanced analytics roleStrong foundation in mathematics, statistics, or a related quantitative field (Master’s preferred)Confident in Python for data analysis and modellingExperience turning vague business questions into structured analytical solutionsAbility to clearly explain complex ideas to non-technical stakeholdersYou’ll likely thrive here if:You enjoy smaller, agile environments over large corporate silosYou’ve worked close to marketing, growth, or commercial teamsYou care about measurable business impact - not just model accuracyYou take initiative rather than waiting for detailed instructionsYou’re comfortable operating with ambiguityYou prefer ownership over rigid structureBonus Points forMarketing analytics or performance marketing exposureExperience measuring campaign performance or customer segmentationA/B testing and experimentation experienceCloud familiarityExperience working in companies where Data Science is embedded in business teams rather than isolatedThis role is probably not for you if:You’re primarily an ML engineer focused on deployment, infrastructure, or MLOpsYou prefer highly defined tickets over open-ended problem solvingYou’ve worked exclusively in research or academic environments without commercial exposureThe Team & Environment:You’ll join an established Data Science function working alongside experienced colleagues. The team balances traditional ML use cases with new marketing-focused initiatives - and this hire is key to scaling that capability.Data Science here is collaborative, commercially focused, and less onboarding-heavy than large enterprise environments. You’ll be contributing meaningfully from early on.The Opportunity...This is a chance to step into a role where:Your thinking matters as much as your technical skillsYou influence strategy, not just implementationYou help build new data capabilities from the ground upYou grow alongside a scaling, ambitious teamIf you’re a problem solver who enjoys bridging business and data - we’d love to speak with you.