Senior Data Scientist

Why Tractable?

We combine world-class AI research with real-world applications that make a difference. At Tractable, youll collaborate with brilliant minds, work on transformative projects, and contribute to technology that helps people when they need it most.

We're looking for a Senior Data Scientist to lead the delivery of real-world AI solutions across industries like insurance and automotive. You'll drive end-to-end ML development - from scalable pipelines to production deployment - while mentoring teammates and collaborating with enterprise partners to deliver business impact.

Your impact

• Architect Solutions: Design and optimise scalable ML systems, focusing on computer vision applications
• Build & Deploy Models: Develop and productionise deep learning models using Python and modern ML frameworks
• Lead Cross-Functionally: Align research, engineering, and product goals through hands-on leadership
• Mentor & Guide: Support junior team members and promote best practices in ML development
• Engage Customers: Collaborate directly with enterprise clients to ensure seamless integration of AI solutions
• Drive Innovation: Evaluate and implement new AI tools and methodologies to enhance performance and scalability

What you'll need to be successful

• Applied AI Expertise: 5+ years building ML systems, especially in computer vision
• Strong Python & ML Skills: Proficiency in Python and ML libraries (e.g. PyTorch, TensorFlow)
• Production Experience: Hands-on experience deploying ML models in production environments
• Cloud & Data Engineering: Knowledge of cloud platforms (ideally AWS) and scalable data pipelines
• Collaboration & Communication: Ability to work across teams and communicate complex ideas clearly
• Problem-Solving Mindset: Analytical thinking and a focus on continuous improvement

Preferred experience

• Industry Impact: Experience applying AI in insurance, automotive, or similar sectors
• LLM/NLP Expertise: Background in large language models or conversational AI
• Scalable Product Delivery: Proven success scaling ML solutions in production
• Leadership: Track record of mentorship and technical leadership in data science teams