Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Head Of Data Science

Michael Page
Birmingham
2 days ago
Create job alert

The Head of Data Science will lead the Data Science department, driving data-driven decision-making and delivering impactful insights within the public sector. This role in Birmingham requires expertise in data science methodologies and a strong ability to manage and develop analytics teams. Hybrid working is also available in Cardiff or London.

The organisation is a well-established public sector entity with a significant focus on leveraging data to improve services and inform strategic decisions. As an organisation, they are committed to fostering innovation and maintaining high operational standards.

Description
  • Support the Director of Risk, Data Analysis and Insight to develop the analysis programme in line with the overall Strategic Plan.
  • Lead and manage the Data Science department, ensuring the delivery of high-quality data insights.
  • Develop and implement data science strategies to support organisational objectives.
  • Collaborate with cross-functional teams to identify and solve complex data challenges.
  • Oversee the design, development, and deployment of predictive models and algorithms.
  • Ensure compliance with data governance and ethical guidelines in all analytics activities.
  • Provide mentorship and professional development opportunities for team members.
  • Communicate findings and actionable insights to senior leadership and key stakeholders.
  • Select and apply the most appropriate analysis, data science and statistical techniques given the research objectives and the data.
  • Develop appropriate analytical methods in firm-based risk assessment and thematic risks.
  • Provide internal consultancy across Directorates and Programmes on analytical methods and techniques.
  • Stay informed about industry trends and emerging technologies in the public sector.
Profile

A successful Head of Data Science should have:

  • Proven experience in data science and analytics, ideally within the public sector or regulatory body.
  • A strong background in statistical modelling, machine learning, and data visualisation tools.
  • Expert use of standard statistical tools e.g. R/Python and relevant associated libraries.
  • Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs.
  • Excellent leadership and team management skills.
  • A solid understanding of data governance and ethical considerations.
  • Outstanding communication skills to present complex data in an accessible manner.
  • A degree or equivalent qualification in data science, mathematics, or a related field.
  • Demonstrated ability to collaborate across departments and with senior stakeholders.
Job Offer
  • Competitive salary range of £65,000 to £77,000 (London) per annum.
  • 25 days of annual leave, increasing to 27 after 2 years of service.
  • Generous pension contributions (up to 19.25%).
  • Income protection, life assurance and Private Medical benefits.
  • 3% of annual salary available for additional benefits, including dental insurance and travel insurance.
  • Opportunities to work on meaningful projects within the public sector in Birmingham.


#J-18808-Ljbffr

Related Jobs

View all jobs

Head of Data Science

Head of Data Science

Head of Data Science

Head of Data Science

Head of Data Science

Head Of Data Science

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.