Harnham
Senior Data Scientist
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Senior Data Scientist (Contract)
London (Hybrid or Remote)
This is an opportunity to join an early-stage AI business tackling a complex, real-world data challenge. As a Senior Data Scientist, you will take ownership of building production-ready classification and inference models across large industrial datasets, helping establish modelling standards and best practices from the ground up.
The Company
They are an AI-focused organisation developing a data-driven understanding of global industrial systems. Their work combines advanced data science, machine learning, and domain expertise to create structured intelligence from complex, fragmented datasets. Operating at an early stage, they offer the chance to have a direct impact on both technical direction and product development.
The Role and Deliverables
- Profile, explore, and assess complex industrial datasets, including facilities, supply chains, and product information.
- Establish robust modelling foundations through baseline creation, evaluation set design, and metric definition.
- Build and deploy production classification models and matching or inference models.
- Measure, document, and communicate model performance, including error rates and error analysis.
- Apply LLMs appropriately for tasks such as extraction, constrained labelling, and code generation, supported by rigorous evaluation frameworks.
- Contribute independent technical judgement and help define modelling standards within the organisation.
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Your Skills & Experience
- Strong experience building and deploying machine learning models into production environments where accuracy and reliability are critical.
- Advanced Python skills, including hands-on experience with pandas and scikit-learn.
- Strong statistical reasoning and a structured approach to model evaluation and validation.
- Ability to clearly explain model performance, evaluation methodology, and known failure modes.
- Experience designing and maintaining evaluation frameworks for machine learning models.
- Experience building LLM-powered workflows with genuine evaluation and monitoring processes is highly desirable.
- Comfortable working autonomously in a fast-paced environment with a high degree of ownership.
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How to Apply
If you are a hands-on Senior Data Scientist with proven experience delivering production machine learning solutions, apply today to discuss this contract opportunity in more detail.
Desired Skills and Experience
- Strong experience building and deploying machine learning models into production environments where accuracy and reliability are critical.
- Advanced Python skills, including hands-on experience with pandas and scikit-learn.
- Strong statistical reasoning and a structured approach to model evaluation and validation.
- Ability to clearly explain model performance, evaluation methodology, and known failure modes.
- Experience designing and maintaining evaluation frameworks for machine learning models.
- Experience building LLM-powered workflows with genuine evaluation and monitoring processes is highly desirable.
- Comfortable working autonomously in a fast-paced environment with a high degree of ownership.
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