At a Glance
- Tasks: Lead a data science squad to create impactful commercial recommendations and personalised patient experiences.
- Company: Eucalyptus, a pioneering digital healthcare company focused on long-term health solutions.
- Benefits: Employee options, annual development budget, hybrid work, wellness allowance, and generous holiday.
- Why this job: Make a real difference in healthcare while growing your skills in a fast-paced environment.
- Qualifications: 8+ years in data science with experience in recommendation systems and team leadership.
- Other info: Join a vibrant culture with regular socials and opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
About Eucalyptus
We are on a mission to make good health last a lifetime. More than 1 billion people live with obesity worldwide, driving preventable chronic conditions. We are here to build better long-term care. Euc is the company behind Juniper, one of the world’s largest weight-management programs combining GLP-1 medication with personalised nutrition, movement support, and clinician-led care from prescribers, nurses, health coaches, pharmacists, and dietitians. Our published clinical research shows that our combined clinical and behavioural approach helps patients lose significantly more weight during their treatment with Juniper by four times.
Our Growth Story:
130% YoY revenue growth and a 90% reduction in cash burn, with $100M+ raised from investors including BOND, NewView, Blackbird and Airtree.
Supported over 350k patients living with obesity across our 5 markets.
Received selective NICE endorsement to provide services to the NHS.
Tailored our offering to thousands of patients in Germany and Japan.
About the role (What you’ll be doing)
We are 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 will 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 will balance technical leadership and hands-on delivery — setting the vision for how data science is applied to our commercial ecosystem in the business. You will 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.
About you (Who you are)
We are 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.
Why join Eucalyptus?
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 are launching into new conditions, demographics, and geographies as we build a truly preventive healthcare ecosystem.
- Build something world-changing - We are 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.
What’s ahead in the UK
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.
Data Science Lead in London employer: Eucalyptus
Contact Detail:
Eucalyptus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their mission and values, especially how they relate to health and wellness. This will help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Tip Number 3
Practice your technical skills and be ready to showcase them during interviews. Brush up on your Python, SQL, and machine learning concepts. Consider doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our mission to make good health last a lifetime.
We think you need these skills to ace Data Science Lead in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data science and how it aligns with our mission at Eucalyptus. We want to see how your skills can help us make good health last a lifetime!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Mention your hands-on experience with Python, SQL, and any ML libraries you've worked with. We’re looking for someone who can lead technically while also being deeply involved in the work.
Communicate Clearly: Remember, we value clear communication! Make sure you explain your technical ideas in a way that’s easy to understand for non-technical stakeholders. This will show us that you can bridge the gap between data science and product development.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team. Let’s get started on this journey together!
How to prepare for a job interview at Eucalyptus
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python, SQL, and machine learning libraries. Be ready to discuss your past projects and how you've applied data science to solve real-world problems, particularly in commercial settings.
✨Understand Eucalyptus' Mission
Familiarise yourself with Eucalyptus and its mission to improve health outcomes. Knowing about their products, like Juniper, and how they integrate data science into patient care will show your genuine interest and help you align your answers with their goals.
✨Prepare for Leadership Questions
Since this role involves leading a data science squad, be prepared to discuss your leadership style and experiences. Think of examples where you've influenced teams or projects, even if you haven't held formal leadership roles before.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to communicate effectively with both technical and non-technical stakeholders, so being able to break down your ideas will be crucial during the interview.