Data Science Lead Job at Eucalyptus (London)

Data Science Lead

Eucalyptus

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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

Requirements:

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

Nice to have:

Prior people leadership experience

What we offer:

Your own stake in the business with our employee options program
Annual development budget plus 3 days of professional development leave
Monthly wellness allowance to spend on what matters most to you or opt for vitality private health insurance
25 days of holiday, bank holidays, and enhanced parental leave
A vibrant office culture with regular socials, clubs, after-school sport, and seasonal events

Additional Information:

Job Posted:
January 06, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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