Data Scientist - Maternity Cover

at  Charlotte Tilbury

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

DATA SCIENCE AT CHARLOTTE TILBURY The Data Science team have high ambitions. We’re leading the charge to leverage our data to create hyper-personalised experiences that our customers LOVE, and improve internal decision making in a way that keeps us running efficiently.
The Data Science team is currently small but rapidly growing; team members will have the opportunity to work on a wide range of business problems and gain exposure to a variety of modelling paradigms.
It is an exciting environment to be in, with ever-present possibilities for on-the-job development. The role has a strong focus on personalisation and optimising our marketing. The right candidate will be front-and-centre in our efforts to realise our ambitions in these areas. Key responsibilities The role covers the full stack of data science from scoping, through to building, deployment, communication and monitoring performance.

The main responsibilities will be:

• Running data science proofs-of-concepts to test feasibility and value, uncovering benefits for our customers and our business
• Sourcing and processing data, using domain-specific/agnostic techniques
• Using core skills in data analysis to answer ad-hoc questions to support business decision making
• Building production-ready machine learning models
• Implementing models to realise value, and continually monitoring performance to ensure long-term accuracy
• Managing stakeholders – working with teams across our business to balance the north-star ambition with what is immediately achievable
• Presenting and discussing insights to the wider busines