Data Scientist

London (Hybrid, 3 days per week)

Marshall Wolfe are hiring on behalf of our client, a high-growth AI company for a Data Scientist to join their engineering team developing advanced machine learning solutions that help organisations make smarter, data-driven decisions. This role is heavily focused on machine learning, data science and statistics.

This is an excellent opportunity for an ambitious, self-starting individual with a strong academic background in Computer Science, Statistics, Mathematics, Machine Learning, or a related subject. You'll join a tight, ambitious team of engineers and report into a highly technical leadership group. This is a hands-on role with real ownership, meaningful impact and exposure to cutting-edge ML and agentic AI development.

Key Responsibilities

• Build, train and optimise machine learning models.
• Analyse large datasets to identify trends and insights.
• Develop predictive models for customer behaviour, churn and lifetime value.
• Apply statistical analysis and experimentation techniques.
• Collaborate with engineers to deploy and monitor models in production.

Requirements

• Degree in Computer Science, Statistics, Mathematics, Machine Learning or a related quantitative discipline.
• Hands-on experience using AI coding agents, such as Codex, Claude, or Cursor, to write and improve code, with the ability to understand, review and test output.
• Strong Python and SQL skills.
• 2-5 years commercial experience in Data Science, Analytics or Machine Learning is preferred.
• Solid understanding of machine learning and statistical modelling.
• Experience with PyTorch, TensorFlow or similar frameworks would be advantageous.
• Self-motivated, curious and eager to learn.

You'll work on real business problems, see your models directly influence customer decisions, and grow quickly in a high-ownership environment. The team is technical, collaborative and values culture fit as much as capability.