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

Apply Now

Lead Data Scientist

Ofqual
Coventry
1 week ago
Create job alert
Overview

Ofqual is the independent qualifications regulator for England. We regulate 200+ awarding organisations and approx. 11,600 certified qualifications. These include GCSEs, AS and A levels, and a broad range of vocational and technical qualifications.


For more information about what we do please visit: https://www.gov.uk/government/organisations/ofqual


About the team

We are looking to recruit a Lead Data Scientist to join our Data Analytics and Research team. The team works with a vision to consolidate and grow our statistics and data science capabilities.


Responsibilities

  • As a Lead Data Scientist, you will have responsibility for building our capacity to extract insights from unstructured data, for example by applying techniques from natural language processing, machine learning and AI. You will also work on a range of other, structured-data based projects.
  • Research, analysis and data are at the heart of Ofqual’s approach to intelligent, evidence-based regulation. The team evaluates educational assessments and qualifications and supports regulatory decision-making through innovative research and business intelligence.
  • Contribute to interactive visualisations and published statistics (e.g., on the Ofqual Analytics site and Statistics at Ofqual site).
  • Collaborate with several teams within Ofqual, as well as external organisations, to showcase data science, stakeholder engagement and project management skills.
  • Manage projects, prioritise multiple strands of work, meet challenging timescales and work both independently and as part of a team.
  • Communicate clearly with both numbers and ideas, foster learning in others, and maintain a focus on quality and impact of work.

Qualifications and requirements

  • Expert analytical ability in data science and data manipulation skills.
  • Theoretical knowledge and practical experience applying a range of innovative techniques using Python and R; ability to successfully introduce those innovations into the workplace.
  • Ability to work independently and as part of a team.
  • Comfortable managing projects and collaborating with multiple stakeholders.
  • Strong communication skills and a willingness to learn and mentor others.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist - Customer Development

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.