Data Science Lead

We’re hiring a Data Science Lead to build and lead a commercial & transactional data science squad in the UK.

This role sits at the intersection of product, data science, and engineering, with a primary focus on designing and delivering recommendations that drive:

• Product discovery and cross-sell (OTC, programs, prescriptions)
• Personalised patient experiences
• Commercial outcomes that align with patient value

This is a hands-on role with early people leadership responsibilities. You’ll be responsible for shaping the technical direction of the squad, delivering models into production, and working closely with product and engineering partners to ensure real-world impact.

In this role, you’ll balance technical leadership and hands-on delivery — setting the vision for how data science is applied to our commercial ecosystem in the business. You’ll ensure the team’s work is impactful, reliable, and aligned with organisational priorities.

• Build and lead a small data science squad focused on transactional and commercial recommendation systems across OTC products, structured programs, and prescription cross-sell.
• Design, experiment with, and iterate on recommendation models, starting with lightweight heuristics to get early signal and scaling sophistication where clear upside exists.
• Translate product and commercial goals into concrete data science roadmaps, aligning experimentation, feature development, and delivery timelines.
• Partner closely with product and engineering teams, influencing technical direction without being prescriptive and ensuring solutions are practical, scalable, and valuable to patients.
• Support production-ready data science, including feature definition, evaluation design, model handover, monitoring, and iteration in collaboration with ML and data engineering.
• Set technical standards and best practices for experimentation, model evaluation, and deployment within the squad.

We’re looking for someone who is strong technically, commercially minded, and comfortable operating in ambiguity.

You likely have:

• 8+ years’ experience in data science, applied ML, or advanced analytics including prior experience leading either technically or direct people management
• Experience building and iterating on recommendation, ranking, or personalisation systems
• Strong foundations in statistics, machine learning, feature engineering, and model evaluation
• Hands-on experience with Python, SQL, and modern ML libraries
• Exposure to production ML environments and collaboration with ML / data engineering teams
• The ability to clearly communicate technical ideas to product and non-technical stakeholders
• An opinionated but pragmatic approach to how data science should be built and deployed

Prior people leadership experience is a plus, but not required — stepping into squad-level leadership while remaining deeply technical.

Euc is also behind a growing family of digital healthcare clinics (Pilot, Kin, Software) across men’s health and well-being, fertility, and skincare. 

Here’s what makes joining Euc unique:

• What’s next - Our goal for the next three years is to support 1 million patients globally to live better for longer. We’re launching into new conditions, demographics, and geographies as we build a truly preventive healthcare ecosystem.
• Build something world-changing - We’re on the path to becoming the world’s largest international digital healthcare company. It will be challenging, fast-paced, and deeply rewarding.
• Make real impact - You will deliver work that directly shapes patient outcomes and scales evidence-based care across markets.
• Accelerate your growth - You will have high ownership, continuous feedback, and dedicated development support.
• Join a motivated team - You will collaborate with talented peers to solve complex clinical and operational problems at scale.

• Be an owner – Your own stake in the business with our employee options program
• Invest in your growth – Annual development budget plus 3 days of professional development leave
• Work flexibly – Hybrid setup with 3 days a week in our Old Street office, designed for focus and collaboration
• Support your well-being – Monthly wellness allowance to spend on what matters most to you or opt for vitality private health insurance
• Take time off – 25 days of holiday, bank holidays, and enhanced parental leave
• Join a connected team – A vibrant office culture with regular socials, clubs, after-school sport, and seasonal events

At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process.