Senior Data Scientist / Machine Learning Engineer

Summary: The role of Contract Senior Data Scientist / ML Engineer involves delivering machine learning solutions for private equity-backed businesses. The position requires applying classical machine learning techniques to solve significant business problems while collaborating with a small team in a hybrid work environment. The candidate will work on various traditional ML use cases, including optimization and predictive modeling. This role is suited for an experienced professional with a strong background in machine learning and data science.

Key Responsibilities:

• Support live projects by applying classical machine learning techniques.
• Collaborate with a team of engineers and data scientists on-site 2 days per week.
• Work on optimization modeling to improve manufacturing throughput.
• Develop predictive models to anticipate and reduce asset downtime.
• Predict and mitigate customer churn.
• Create next-best-action models for sales agents.
• Conduct geospatial modeling to inform store and asset placement decisions.

Key Skills:

• 3-5+ years' experience applying classical ML in commercial settings.
• Excellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn).
• Strong understanding of supervised and unsupervised learning methods.
• Comfortable working across the full ML lifecycle.
• Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments.
• Experience with AWS / Azure and SageMaker.
• Clear and confident communicator, able to contribute to client conversations.
• Degree from a top university in a quantitative discipline (Master's preferred).
• Based in London and able to attend the client site 2 x per week.

Salary (Rate): £800

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Senior

Industry: IT