Data Scientist

Data Scientist Business\-Focused \| Marketing Analytics \| High Ownership \| Scale\-Up Environment We’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 problems * Defining success metrics and measurable impact * Designing and executing analytical approaches (segmentation, prediction, experimentation, optimisation) * Working closely with commercial and marketing stakeholders * Communicating insights clearly to non\-technical audiences * Contributing to both new marketing initiatives and existing ML use cases You’ll be treated as a thought partner \- not just someone who “builds models.” What we’re looking for? Core Profile * 2\+ years of experience in a Data Science or advanced analytics role * Strong foundation in mathematics, statistics, or a related quantitative field (Master’s preferred) * Confident in Python for data analysis and modelling * Experience turning vague business questions into structured analytical solutions * Ability to clearly explain complex ideas to non\-technical stakeholders You’ll likely thrive here if: * You enjoy smaller, agile environments over large corporate silos * You’ve worked close to marketing, growth, or commercial teams * You care about measurable business impact \- not just model accuracy * You take initiative rather than waiting for detailed instructions * You’re comfortable operating with ambiguity * You prefer ownership over rigid structure Bonus Points for * Marketing analytics or performance marketing exposure * Experience measuring campaign performance or customer segmentation * A/B testing and experimentation experience * Cloud familiarity * Experience working in companies where Data Science is embedded in business teams rather than isolated This role is probably not for you if: * You’re primarily an ML engineer focused on deployment, infrastructure, or MLOps * You prefer highly defined tickets over open\-ended problem solving * You’ve worked exclusively in research or academic environments without commercial exposure The 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 skills * You influence strategy, not just implementation * You help build new data capabilities from the ground up * You grow alongside a scaling, ambitious team If you’re a problem solver who enjoys bridging business and data \- we’d love to speak with you.