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Senior Data Scientist

Roles & Responsibilities

  • 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

Requirements:

  • Architect Solutions: Design and optimise scalable ML systems, focusing on computer vision applications
  • Build and 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 and Guide: Support junior team members and promote best practices in ML development

Job description

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 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

Diversity commitment

At Tractable, we are committed to building a diverse team and inclusive workplace where people’s varied backgrounds and experiences are valued and recognised.

We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination.

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