Charlotte Tilbury Logo

Charlotte Tilbury

Data Scientist

Reposted 10 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
The Data Scientist role involves data sourcing, analysis, model development, and stakeholder management to optimize marketing and enhance customer experiences using machine learning and AI.
The summary above was generated by AI

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 our pension and life assurance for all.
  • Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues.
  • Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!

At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves. We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process.

HQ

Charlotte Tilbury London, England Office

Strand, Covent Garden, London, United Kingdom, WC2R 2ND

Similar Jobs

5 Days Ago
Hybrid
London, Greater London, England, GBR
Mid level
Mid level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Design and deliver ML models and analytics to detect money laundering and fraud using payments data. Write and review code, build prototypes, perform novel research, and collaborate with product, engineering, and client teams. Produce client-facing visualizations, white papers, and consider privacy, security, and regulatory implications.
Top Skills: NetworkxPandasPythonScikit-LearnXgboost
7 Days Ago
Easy Apply
Hybrid
London, Greater London, England, GBR
Easy Apply
Mid level
Mid level
AdTech • Artificial Intelligence • Machine Learning • Marketing Tech • Software • Sports • Big Data Analytics
Develop and implement predictive models for sporting outcomes. Prototype, evaluate, optimize algorithms (Monte Carlo, neural nets, regressions, ensembles). Collaborate in an Agile, cross-functional squad and support model deployment and retraining.
Top Skills: Python
9 Days Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead design and delivery of AI/GenAI solutions: build and deploy scalable ML models, manage data pipelines and infrastructure, mentor teams, ensure data quality and compliance, and collaborate with stakeholders to drive AI-driven business outcomes.
Top Skills: AWSDatabricksDeep LearningGCPJavaMachine Learning LibrariesAzureNatural Language ProcessingNeural NetworksPythonSnowflake

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account