IT & Software

Data Scientist Manager

Kainos

London · Greater London · United Kingdom

Overview

As Data Scientist Manager at Kainos, you will lead delivery of advanced AI and ML solutions and promote scalable, cloud-native architectures. You’ll partner with senior stakeholders to shape architectural principles and strategic direction, while mentoring a team to grow engineering excellence. The role sits in our AI and Data Practice, driving responsible AI and innovative delivery at citizen-scale. You’ll influence projects through technical leadership and foster a culture of learning and impact.

Responsibilities
  • Lead delivery of advanced AI/ML solutions and ensure high-quality outcomes
  • Drive adoption of modern AI development and scalable cloud-native architectures
  • Provide technical leadership: architecture, product design principles, engineering excellence
  • Coach and develop the team; establish standards, policies, and client relationships
  • Engage with senior stakeholders to define requirements, architecture concepts, and strategic direction
  • Guide the team in solving challenging problems and uplifting commercial acumen
Key requirements
  • 2.1 degree in Computer Science, AI, Data Science, Statistics or similar quantitative field
  • Proven experience leading multi-disciplinary AI/ML delivery teams
  • Demonstrated technical leadership for AI delivery (architecture, product design, engineering excellence)
  • Strong understanding of AI/ML models (time series, supervised/unsupervised, reinforcement learning, LLMs)
  • Experience with prompt engineering, RAG, and agentic AI
  • Strong Python and software engineering practices (CI/CD, testing, code reviews)
  • Data engineering expertise for AI with large-scale, unstructured, multimodal data
  • Understanding of responsible AI, model interpretability, and ethics
  • Strong interpersonal skills to lead client projects and manage C-level stakeholders
  • Experience coaching and developing junior team members
  • leadership
  • stakeholder management
  • communication
  • PyTorch
  • TensorFlow
  • scikit-learn

Reference: WJ-747_30139815

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