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.