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Senior Data Scientist / Machine Learning Engineer

Harnham
London
2 months ago
Applications closed

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Senior Consultant - AI, Machine Learning and Data Science

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

  • Experience with AWS / Azure and SageMaker

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

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

  • Experience with AWS / Azure and SageMaker

  • 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

Desired Skills and Experience

Predictive Modelling, Python Machine Learning, Full ML LifecycleSeniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeContract

Job function

  • Job functionInformation Technology
  • IndustriesTechnology, Information and Internet

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