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- Tasks: Build and maintain machine learning models to drive customer insights and marketing strategies.
- Company: Join the UK's largest online pharmacy, committed to patient-centric digital healthcare.
- Benefits: Enjoy competitive salary, flexible working, private healthcare, and generous annual leave.
- Other info: Be part of a supportive culture with regular social events and career growth opportunities.
- Why this job: Make a real impact in healthcare by translating data into actionable business strategies.
- Qualifications: Experience in machine learning, Python, SQL, and strong communication skills required.
The predicted salary is between 60000 - 75000 ÂŁ per year.
Location: Leeds, LS15 8GB. We operate a hybrid schedule, 1-2 days a week in the office.
Salary: ÂŁ60,000 - ÂŁ75,000 per annum, DOE + up to a 10% annual discretionary bonus plus extensive benefits.
Contract type: Permanent. Employment type: Full time. Working hours: Monday – Friday 37.5 hours per week. Core hours are 09:30 - 16:00; you can work around these to suit you!
Do you want to work for the nation’s largest online pharmacy ensuring excellence for all our patients? We’re a market leader in the pharmacy world, with 25 years’ experience, helping over 1.8 million patients in England manage their NHS prescriptions from request through to delivery. We are Great Place to Work certified as we consider colleague experience a top priority every day, and as a certified B Corp we also meet high standards of social and environmental responsibility. Our people are fundamental to our success and ensuring we achieve our vision to be a world leading, patient‑centric digital healthcare provider. We are committed to continuing to develop a positive, open and honest working environment for all.
Our tech teams keep us running 24/7 to make sure all our patients get world class service. To support that, this role may include participation in an out‑of‑hours rota as required by the business. We operate fair scheduling process as well as additional compensation for all on call periods.
As the Data Science Partner for Pharmacy2U’s Marketing and Commercial teams, you will design and own the models that drive customer segmentation, retention, cross‑sell recommendations, and marketing attribution. Your work will translate complex data into clear, measurable commercial outcomes. This role offers genuine autonomy. You will act as the analytical voice of the commercial function, presenting insights directly to senior leadership and shaping how data informs marketing and trading decisions across the business.
Why you’ll love working with us
- Financial security & rewards
- Competitive contributory pension
- Occupational sick pay
- Long‑service awards and refer‑a‑friend bonuses
- Professional registration fees covered (GPhC, NMC, CIPD and more)
- Cycle to Work and Green Car schemes (subject to eligibility)
- Enhanced maternity and paternity pay
- Flexible hybrid working to help balance work and home life
- Private healthcare insurance at discounted rates (Aviva)
- Employee Assistance Programme and in‑house mental health support
- Access to discounted gym memberships via Blue Light Card and benefits schemes
- Regular health and wellbeing initiatives
- Strong commitment to CPD, training and professional development
- 25 days’ annual leave, increasing with service
- Buy and sell holiday scheme
- Blue Light Card and employee discount platform
- Exclusive discounts at The Springs, Leeds
- 25% off health & beauty purchases
- 25% off Pharmacy2U Private Online Doctor services
- Regular social events throughout the year
What you’ll be doing?
- Build, validate, and maintain machine learning models for customer segmentation, propensity scoring, churn prediction, and marketing attribution
- Design and engineer features using transactional data, CRM engagement, website behaviour, and product usage signals
- Lead A/B testing and test‑and‑learn experimentation to measure model‑driven commercial impact
- Quantify impact in commercial terms, including revenue uplift, churn reduction, campaign ROI, and customer lifetime value
- Act as the primary data science partner to Marketing and Commercial teams, shaping priorities and analytical direction
- Present insights and strategic recommendations directly to senior leadership with confidence and autonomy
- Translate complex analytical outputs into clear commercial narratives and actionable recommendations
- Partner with CRM teams to operationalise model outputs through marketing automation platforms
- Define scoring cadences, audience refresh cycles, and CRM integration touchpoints
- Embed data science and experimentation best practice across the commercial organisation
Who are we looking for?
- Demonstrated applied machine learning expertise across classification, clustering, regression, and propensity modelling
- Proven experience building customer segmentation models and translating outputs into actionable commercial strategies
- Strong Python skills (pandas, scikit‑learn, NumPy, matplotlib/seaborn) and the ability to write SQL against large relational datasets
- Expertise in A/B testing, experiment design, and measuring incrementality, uplift, and ROI
- Ability to frame analytical work in clear commercial terms, linking models to revenue, margin, retention, CLV, and cost‑to‑serve
- Strong data visualisation, storytelling, and communication skills, with confidence presenting to senior leadership
- Extensive experience as a data scientist in a commercial, retail, or marketing analytics environment
- Hands‑on experience working with CRM and customer journey data, and operationalising models for campaign targeting and activation
- Familiarity with modern analytics tooling and platforms, including Git, cloud ML environments, and CRM/marketing automation platforms
Applicants must prove they have the right to live in the UK. All successful applicants will be required to undergo a DBS check.
Commercial Data Scientist in Leeds employer: Pharmacy2U Ltd
Contact Detail:
Pharmacy2U Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Data Scientist in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 practising common questions and showcasing your skills. Use real-life examples from your experience to demonstrate how you can add value as a Commercial Data Scientist.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for openings at Pharmacy2U and see how you can contribute to our mission!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. It’s a simple way to stand out from the crowd.
We think you need these skills to ace Commercial Data Scientist in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Commercial Data Scientist role. Highlight your experience with machine learning, customer segmentation, and any relevant projects that showcase your skills in Python and SQL.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills align with our mission at StudySmarter. Don’t forget to mention your experience in translating complex data into actionable insights.
Showcase Your Analytical Skills: In your application, be sure to include examples of how you've used data to drive commercial outcomes. Whether it's through A/B testing or customer retention strategies, we want to see your analytical prowess in action!
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!
How to prepare for a job interview at Pharmacy2U Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning concepts, especially around classification, clustering, and regression. Be ready to discuss your experience with Python libraries like pandas and scikit-learn, as well as SQL skills. They’ll want to see how you can apply these in a commercial context.
✨Showcase Your Commercial Acumen
Prepare to explain how your analytical work translates into real-world business outcomes. Think about examples where your data insights led to revenue uplift or improved customer retention. Being able to frame your technical skills in commercial terms will impress the interviewers.
✨Practice Your Presentation Skills
Since you'll be presenting insights to senior leadership, practice articulating complex data findings in a clear and engaging way. Use storytelling techniques to make your points relatable and impactful. Confidence is key, so rehearse your delivery!
✨Understand Their Business Model
Familiarise yourself with Pharmacy2U’s operations and their market position. Knowing how they serve their customers and the challenges they face will help you tailor your responses and show that you're genuinely interested in contributing to their success.