Job Title

Why Tractable? We combine world-class AI research with real-world applications that make a difference. At Tractable, you’ll collaborate with brilliant minds, work on transformative projects, and contribute to technology that helps people when they need it most.We're looking for aSenior Data Scientistto 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 scalabilityWhat 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 improvementPreferred 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