ABOUT CHARLOTTE TILBURY BEAUTY

Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace.
Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen.
Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech — all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions.

ABOUT THE ROLE

The Data Science team drives the use of data, machine learning & AI to enhance internal decision-making and creates hyper-personalised customer experiences. Team members tackle diverse business challenges and explore various modelling paradigms. This dynamic environment provides ample opportunities for on-the-job development. The role focuses on optimising marketing spend, content, personalisation, and AI, positioning the right candidate as a key driver of our ambitious goals.

KEY RESPONSIBILITIES

The role encompasses the full data science stack, from project scoping to deployment and performance monitoring. Key responsibilities include

• Sourcing and processing data using domain-specific/agnostic techniques
• Analysing data to support ad-hoc business decisions
• Running proof-of-concepts to test feasibility and value
• Building and deploying production-ready machine learning models
• Monitoring model performance for long-term accuracy
• Being at the forefront of integrating LLMs across the business, driving innovation and efficiency
• Managing stakeholders to balance ambitious goals with achievable outcomes
• Developing, presenting, and discussing insights with the wider business
• Collaborating with other data scientists, analysts, and engineers

The role requires a blend of technical and commercial skills, including

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
• 3-5 years of experience in data science roles
• Creative problem-solving and solution scoping
• Strong grasp of mathematical, statistical concepts, and machine learning algorithms
• Proficiency in Python and data science libraries for example NumPy, Pandas, Scikit-learn, Keras
• SQL proficiency
• Experience with cloud environments for example Google Cloud Platform
• Version control management
• Ability to work efficiently without compromising quality
• Effective communication and data storytelling skills
• Collaborative mindset and passion for sharing knowledg