Contract: Permanent, Full-time

Closing date: 20th November 2025

Recruitment Partner: Katrina, katrina.wuk@boots.co.uk

 

About the role

Here at the No7 Beauty Company we have an exciting opportunity to join our business and be part of the #1 Skin Care brand in the UK as a Skin Data Science Manager, leading data innovation across our R&D team to drive evidence-based innovation, product development and to support robust product claims.

 

Reporting to the Head of Product Performance & Testing, you will lead a team of skin data scientists and analysts, with one direct report. In this pivotal role, you will champion the use of predictive modelling, machine learning, and advanced analytics to uncover new relationships between skin biology, product performance, and formulation science. You'll set the strategic analytical direction for the team and play a key role in building internal capabilities across the team. You'll also be responsible for building scalable data pipelines and tools that enable fast, efficient analysis across the team, and for translating complex academic research outputs into actionable insights.

 

Key responsibilities

Oversee the design and execution of analytical approaches to clinical, instrumental, and imaging data.

Develop predictive models and machine learning approaches to support claims substantiation and guide future product innovation.

Drive integration of multi-modal data sources to create a comprehensive picture of skin health and product performance.

Translate academic research data (e.g., omics, imaging, clinical studies) into usable formats and insights for scientists across the R&D team.

Introduce and evaluate new tools and technologies to enhance data analysis, visualisation, and reproducibility.

Collaborate cross-functionally with skin scientists, formulation scientists and claims experts.

Ensure data integrity, quality, and regulatory compliance in all analyses and reporting.

Build and maintain knowledge systems and dashboards to track skin metrics, study outcomes, and historical benchmarks

Upskill and mentor R&D colleagues, fostering a culture of data literacy and analytical thinking.

Identify and implement data automation models for use at all levels across R&D.

 

What you'll need to have

Advanced degree in life sciences (e.g., Biology, Dermatology, Pharmacology, Cosmetic Science) or Advanced degree in Data Science or equivalent experience.

Experience in data science, machine learning, or statistical modelling, ideally within the beauty industry or life sciences.

Proven experience in scientific communications, claims substantiation, or evidence generation in the skincare, cosmetics, or healthcare sectors.

Organisational skills with experience managing large content libraries or databases.

Excellent communication skills to share findings clearly to technical and non-technical stakeholders through visualisations, presentations, and reports.

Strong stakeholder management and cross-functional collaboration skills.

Strong programming skills in Python, R, or similar, with experience in data wrangling, modelling, and visualisation.

Proficiency with data visualisation tools (e.g., Power BI, Tableau) and cloud platforms (e.g. Azure).

Stay current with emerging tools, techniques, and trends in data science and AI, and evaluate their potential for adoption.

 

It would be great if you also have

Experience building and implementing a data strategy.

Experience working with academic research data, including translating complex outputs into business-relevant insights. Familiarity with global skincare regulatory frameworks (EU, US, Asia) a plus.

 

Our benefits

Boots Retirement Savings Plan

Discretionary annual bonus

Generous employee discounts

Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child

Flexible benefits scheme including option to buy additional holiday, discounted gym membership, life assurance, activity passes and much more.

Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.

We have a great range of benefits in addition to the above that offer flexibility to suit you - find out more at boots.jobs/rewards. Exclusions may apply, eligible roles only. Please note, any salary estimates given on third-party sites are not provided or endorsed by Boots and may not be accurate.

 

Why Boots

At Boots, we foster a working environment where consideration and inclusivity help everyone to be themselves and reach their full potential. We are proud to be an equal opportunity employer, passionate about embracing the diversity of our colleagues and providing a positive and inclusive working environment for all. As the heart of everything we do at Boots, with you, we change for the better.

 

What's next

Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best.

 

Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis.