Role: Commercial Data Scientist
Location: Leeds, LS15 8GB. We operate a hybrid schedule, 1-2 days a week in the office.
Salary: £60,000 - £75,000 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. We work on a core hours principle. Our 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
We believe great people deserve great support. That’s why we offer a benefits package designed to look after your health, finances, career and life outside work.
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)
Family-friendly
· Enhanced maternity and paternity pay
· Flexible hybrid working to help balance work and home life
Health & wellbeing
· 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
Career growth
· Strong commitment to CPD, training and professional development
Time off & flexibility
· 25 days’ annual leave, increasing with service
· Buy and sell holiday scheme
Everyday perks & exclusive discounts
· 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
Culture & community
· 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
What happens next?
Please click apply and if we think you are a good match, we will be in touch to arrange an interview.
Applicants must prove they have the right to live in the UK.
All successful applicants will be required to undergo a DBS check.
Unsolicited agency applications will be treated as a gift.
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