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Data Scientist

Charlotte Tilbury
CompanyCharlotte Tilbury
CategoryData & Analytics
LocationLondon
RemoteOn-site (inferred)
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted15 Apr 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
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Description
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 role encompasses the full data science stack, from project scoping to deployment and performance monitoring. 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. As a Data Scientist you will 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 Who you will work with Data, Tech etc About you 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 (NumPy, Pandas, Scikit-learn, Keras) SQL proficiency Experience with cloud environments (e.g., 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 knowledge      In addition to the above, we would LOVE if you have: Experience in e-commerce, retail, or related sectors Experience in marketing science Experience with our BI platform Looker Anything to demonstrate your past work (e.g. a GitHub profile). Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We’re a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with ou
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