Head of Data Science

Page Personnel
London
2 weeks ago
Create job alert
Opportunity to lead a team of Data Scientists and lead on Data Science Strategy Opportunity to join an organisation which is highly adoptive of Data Science

About Our Client

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

Job 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.

The Successful Applicant

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.

What's on 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.

Take the next step in your career as a Head of Data Science and apply today to make a real impact in the public sector!

Related Jobs

View all jobs

Head of Data Science

Head of Data Science, Analytics and Reporting

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.