Skin Data Science Manager

BOOTS; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading beauty company in the UK seeks a Skin Data Science Manager to drive evidence-based innovation in product development. This role involves leading a data science team and utilizing advanced analytics to translate complex research into actionable insights. The ideal candidate will have an advanced degree in data science, strong programming skills, and experience in the beauty or life sciences industry. Competitive benefits and flexible working options are available.

Benefits

Retirement Savings Plan

Enhanced maternity/paternity/adoption leave pay

Discretionary annual bonus

Generous discount on our own brands

Flexible benefits scheme

Qualifications

• Proven experience in data science, ideally in the beauty industry.
• Excellent organizational skills managing large content databases.
• Strong programming skills in Python or R for data wrangling.

Responsibilities

• Lead data innovation across R&D for product development.
• Oversee design of analytical approaches to data.
• Collaborate with scientists and ensure data integrity.

Skills

Data science

Machine learning

Statistical modelling

Python

R

Data visualisation

Stakeholder management

Education

Advanced degree in data science

Tools

Power BI

Tableau

Azure

Job description

Skin Data Science Manager

Location: Nottingham

Contract: Permanent

Shift Pattern: Full time, Monday-Friday

Recruitment Partner: Katrina Wuk

Who we are

No7 Beauty Company is made up of five iconic brands – No7, Liz Earle, Soap & Glory, Botanics and Sleek MakeUP. We believe in creating the best in beauty for everyone – we're innovators with a passion for challenging perceptions with ground‑breaking products, proven results and positive impact. We have built a reputation on scientific innovation, whilst being environmentally sustainable and socially responsible. We are an equal opportunity employer, empowering our team members to be their authentic selves as we share a culture where diversity, equity and inclusion are at the centre of everything we do.

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 data scientists and analysts, with one direct report. In this pivotal role, you will promote 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 direction for the team and help build internal capabilities across the team. You'll also be responsible for building scalable data pipelines and tools that promote 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.
• 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.
• Drive integration of multi-modal data sources to create a comprehensive picture of skin health and product performance.
• 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 data science.
• Proven experience in data science, machine learning, or statistical modelling, ideally within the beauty industry or life sciences.
• Excellent organizational 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

These are desirable skills or experience and are not essential, so we would welcome applications from candidates that don't match this additional criteria.

• 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.
• Experience in scientific communications, claims substantiation, or evidence generation in the skincare, cosmetics, or healthcare sectors.

Our benefits

• Retirement Savings Plan
• Enhanced maternity/paternity/adoption leave pay
• Discretionary annual bonus
• Generous discount on our own brands and partner businesses
• Flexible benefits scheme including option to buy additional holiday, discounted gym membership, life assurance, activity passes and much more.

We have a great range of benefits in addition to the above that offer flexibility to suit you - go to no7company.jobs/working-here to find out more. Exclusions may apply, eligible roles only. Please note, any salary estimates given on third-party sites are not provided or endorsed by No7 Beauty Company and may not be accurate.

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.

We are a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case‑by‑case basis.

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