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.