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

Apply Now

Head of Data Science

Solicitors Regulation Authority
City of London
1 week ago
Create job alert
Overview

We are seeking a highly skilled Head of Data Science to lead our growing team of data scientists and analysts. This is a pivotal role, shaping how we use advanced analytics, predictive modelling and data-driven insight to inform decision-making across the SRA. You will set the strategic direction for the team, ensuring that their work underpins our regulatory priorities and helps us deliver meaningful impact in the legal services sector.

What’s in it for you
  • Work in a rapidly evolving sector, offering an exciting opportunity to showcase and implement innovative ideas
  • Support the regulation of the legal profession, protecting and promoting the public interest, and help shape and implement our responses to new challenges
  • Showcase your technical and leadership skills - leading a dedicated team of data scientists and data analysts
The role

As Head of Data Science, you will be responsible for planning and delivering the team\'s contribution to our business plan and strategic priorities. You will provide expert technical leadership, guiding the design and application of advanced statistical and machine learning techniques, while ensuring outputs are of the highest quality and relevance. A key part of your role will be to translate complex analysis into accessible insights that support evidence-led regulatory decisions.

Collaboration will be central to the role. You will work closely with colleagues across the organisation and with external stakeholders, building strong partnerships to maximise the impact of our analytical work. You will play an important role in identifying opportunities where data science can add value, helping to manage risk, and producing clear, persuasive outputs that inform decisions at the highest level.

You will also focus on developing and enhancing the capability of the team. By providing coaching, mentoring and technical leadership, you will create an environment where colleagues are supported to grow, encouraged to innovate, and empowered to deliver their best work. You will foster a culture of inclusivity, responsiveness and high performance, ensuring the team continues to deliver against strategic priorities.

What we are looking for
  • Degree or equivalent experience in statistics, social science, physics or other relevant discipline, coupled with research experience or post-graduate qualification in quantitative discipline
  • 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
  • Ability to produce reasoned, defensible analysis that can be relied upon to determine regulatory action, and the allocation of regulatory resources
  • Demonstrable leadership capabilities, including technical guidance of skilled professionals and driving performance development
Useful information

Full Role Profile can be found at the bottom of the advert on our website.

We operate on a hybrid working model which means working 2 days in the office and the rest of the week from home. The role can be based from any of our Birmingham, London or Cardiff offices. The role will require regular travel to both the London and Birmingham offices where Data Science and many of the key stakeholders are based. The salary range we offer for this role is £64,000 - £70,000 depending on relevant knowledge, skills and experience. A 10% London weighting will apply to the salary if applicable.

If you have any questions that are not answered in the advert or on our website, or would like to have a confidential chat you can contact us via: .

To apply

Please click 'apply' to complete the online application form and upload a CV and cover letter, addressing how you meet the requirements of the role. Your Cover Letter should be no longer than 2 pages.

To find out more about the recruitment and selection process and how to make the most of your application, please visit our jobs pages.

Closing date for applications is 13 October 2025.


#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.