Data Scientist: AI-Driven Personalisation & Growth

Data Scientist: AI-Driven Personalisation & Growth

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Own the data science stack and leverage ML/AI for hyper-personalised customer experiences.
  • Company: Join Charlotte Tilbury Beauty, a leader in innovative beauty solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment focused on creativity and innovation.
  • Why this job: Be a key driver in transforming customer experiences with cutting-edge AI technology.
  • Qualifications: Experience in data science and a passion for personalisation and growth.

The predicted salary is between 50000 - 70000 £ per year.

Charlotte Tilbury Beauty is seeking a Data Scientist to own the full data science stack from scoping to deployment and monitoring.

You will leverage ML/AI to enhance internal decision‑making and deliver hyper‑personalised customer experiences, tackling diverse business challenges and exploring various modelling paradigms.

The role focuses on optimizing marketing spend, content, personalisation, and AI, positioning you as a key driver of ambitious goals.

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Data Scientist: AI-Driven Personalisation & Growth employer: Dormont Manufacturing Co

Dormont Manufacturing Co is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong commitment to employee growth, the company provides extensive training opportunities and a comprehensive benefits package, all while supporting a flexible hybrid work model that enhances work-life balance. Join us in shaping the future of lottery solutions in a role that promises meaningful impact and professional development.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

We think you need these skills to ace Data Scientist: AI-Driven Personalisation & Growth

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Automation
Data Pipeline Development