Job Description

262841BR

Skin Data Science Manager

=============================


Nottingham, Nottingham Support Office
Permanent
Full-time

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 schemeincluding 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.



#LI-Onsite

Business Area

Support Office

Function

Retail & Central Operations

Keywords

Skin and Data Science Manager, Data Science Manager

Hours per week

37.5

Latitude,longitude 1

52.927182,-1.183948

Is this a Global Brands req?

No

Airport

No

Should this appear on the No7 Beauty Company website?

Yes

Company

Non Stores

Division

Non Stores

Should this vacancy be excluded from being posted onto the Boots.jobs career site?

No

Region

East Midlands

Area

East Midlands (non stores)

Store

Nottingham Support Office

Req Posted Date

07-Oct-2025

County

Nottinghamshire

Country

UK

Address 1

Recruitment Service Centre (D94)

Address 2

Thane Road

Address 3

Nottingham

Post Code

NG90 1BS

Source

Boots