Contract Senior Data Scientist / ML Engineer
£600-800/day | Outside IR35 | Hybrid (Central London, 2 days/week)
We're working with a specialist consultancy delivering high-impact machine learning solutions to private equity-backed businesses. They are looking for an experienced Data Scientist or ML Engineer to support a live project, applying classical machine learning to solve tangible, high-value problems.
You will be joining a small, collaborative team of engineers and data scientists on-site 2 days per week in Central London.
The work focuses on traditional ML use cases, such as:
Optimisation modelling to improve manufacturing throughput
Predictive modelling to anticipate and reduce asset downtime
Customer churn prediction and mitigation
Next-best-action modelling for sales agents
Geospatial modelling to inform store and asset placement decisions
Must-Have Requirements:
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 (regression, classification, clustering, tree-based models, etc.)
Comfortable working across the full ML lifecycle
Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments
Clear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams
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.
Nice-to-Haves:
Experience with geospatial modelling, time series forecasting, or operational optimisation
DBT
Interviews are taking place this week. Start ASAP.
Please email