Remote Data Science Manager - AI Delivery & Leadership

Remote Data Science Manager - AI Delivery & Leadership

Full-Time 63000 - 77000 Β£ / year (est.) Working from home possible
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At a Glance

  • Tasks: Lead a talented team in delivering advanced AI and data solutions.
  • Company: Kainos, a people-first company focused on continuous learning and engineering excellence.
  • Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic environment that values innovation and responsible AI scaling.
  • Why this job: Make a real impact in government, healthcare, and commercial sectors with cutting-edge AI.
  • Qualifications: Experience in data science and strong leadership skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Kainos is seeking a Data Scientist Manager to lead delivery of advanced AI and data solutions.

You will manage a high-calibre team, drive architectural decisions, and engage with senior stakeholders across government, healthcare, and commercial sectors.

We value people-first culture, continuous learning, and engineering excellence as we scale AI capabilities responsibly and at citizen scale.

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Remote Data Science Manager - AI Delivery & Leadership employer: Kainos Group plc

Kainos Group plc is an exceptional employer that prioritises a people-first culture, offering a dynamic and collaborative environment for Lead Software Engineers. With a strong focus on employee growth through mentorship and the adoption of modern practices like XP and TDD, Kainos empowers its team to innovate and excel while working on impactful projects for global clients. The remote UK position provides flexibility and the chance to be part of a forward-thinking company that values both professional development and work-life balance.

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Contact Details:

Kainos Group plc Recruitment Team

We think you need these skills to ace Remote Data Science Manager - AI Delivery & Leadership

Leadership
Team Management
AI Solutions Delivery
Architectural Decision-Making
Stakeholder Engagement
Data Science Expertise
Continuous Learning