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.
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