Lead Data Scientist

Are you an experienced Lead Data Scientist looking to shape AI strategy, mentor a high-performing team, and work on cutting-edge LLM and generative AI projects? Our client, a growing data & AI consultancy, is hiring a technical leader to drive innovation and deliver high-impact solutions for customers across multiple industries.
This role includes leading a team of four and acting as deputy for the Engineering Manager when required.

Why This Role Stands Out

• Work with advanced machine learning, generative AI, LLMs, and modern analytics technologies.
• Lead and develop a talented data science team.
• Blend hands-on technical delivery with strategic influence.
• Hybrid working, excellent benefits, and strong investment in your professional growth.

Key Responsibilities

• Lead and mentor a team of 4 data scientists, supporting skills' development, career growth and project delivery.
• Deliver end-to-end data science and AI solutions across multiple client projects.
• Build and deploy machine learning models, including LLM-powered and generative AI applications.
• Run client workshops, gather requirements and translate business challenges into data-driven solutions.
• Review code, set best practices and drive high standards in model development and engineering.
• Contribute to technical roadmaps and product innovation.
• Act as stand-in for the Engineering Manager, supporting delivery governance and technical leadership.

Skills & Experience Needed

• Strong commercial experience in data science, machine learning and AI.
• Hands-on experience with LLMs, generative AI, NLP, or advanced modelling techniques.
• Proficiency in Python, SQL and modern data science libraries (eg, PyTorch, TensorFlow, scikit-learn, HuggingFace).
• Experience mentoring or managing data scientists.
• Confident working in Agile environments with Git/version control.
• Strong communication skills, especially with non-technical customers.

Desirable (SEO-Optimised)

• Experience with cloud platforms (AWS, Azure, GCP).
• Docker/Kubernetes & modern MLOps tooling.
• Experience across NLP, tabular modelling or computer vision.
• Exposure to LangChain, vector databases or AI-augmented development workflows.

Benefits

• 35 days leave, including public holidays.
• Optional additional unpaid leave.
• Hybrid and flexible working.
• Pension + private health insurance.
• Funding for training, learning resources and conferences.
• Regular knowledge-sharing sessions and team events.

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