Lead Security Data Scientist β€” Cyber Resilience & AI

Lead Security Data Scientist β€” Cyber Resilience & AI

Full-Time 65000 - 78000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead a team in using data science and AI to enhance cyber security.
  • Company: Join the Department for Work and Pensions, a key player in public service security.
  • Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborate with senior stakeholders in a dynamic and impactful environment.
  • Why this job: Make a real difference in protecting critical public services with cutting-edge technology.
  • Qualifications: Experience in data science, machine learning, and leadership skills required.

The predicted salary is between 65000 - 78000 Β£ per year.

The Department for Work and Pensions (DWP) is seeking a Lead Security Data Scientist to lead a specialist team using data science, machine learning, AI, and advanced analytics to detect threats and strengthen the security of critical public services. This primarily leadership role requires guiding strategic direction while staying connected to technical work across ML, AI, and analytics initiatives. You’ll work closely with senior stakeholders across cyber security, digital, and policy teams.

Lead Security Data Scientist β€” Cyber Resilience & AI employer: Career Choices Dewis Gyrfa Ltd

Career Choices Dewis Gyrfa Ltd is an exceptional employer that champions innovation and strategic growth within a collaborative environment. Employees benefit from a strong focus on professional development, competitive remuneration, and the opportunity to make a significant impact in the European market. With a commitment to fostering high-value partnerships, this role offers a unique chance to thrive in a dynamic and supportive workplace.

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Contact Details:

Career Choices Dewis Gyrfa Ltd Recruitment Team

We think you need these skills to ace Lead Security Data Scientist β€” Cyber Resilience & AI

Data Science
Machine Learning
Artificial Intelligence
Advanced Analytics
Cyber Security
Leadership
Strategic Direction