Job Description & How to Apply Below
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 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 product ionise 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, Tensor Flow)
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
Position Requirements
10+ Years
work experience
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