Head of Data Science | Mostly Remote | Greenfield / New Team

Cambridge
1 year ago
Applications closed

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

Head of Data Science | Mostly Remote | Greenfield / New Team | Cambridgeshire 

Are you ready to lead a greenfield data science initiative and shape the future of innovation in a dynamic, data-driven industry? This role offers a unique chance to deliver transformative solutions, build and lead a high-performing team, and drive the development of cutting-edge digital platforms. We're looking for a hands-on visionary who thrives on solving complex challenges and turning ideas into impactful outcomes.

The OpportunityAs Head of Data Science, you'll be instrumental in developing a platform that sets the standard for digital expertise in its sector. This is your chance to define the roadmap, lead the development of innovative solutions, and ensure the delivery of measurable value across the business and its stakeholders.

Your Key ResponsibilitiesLeadership

Provide day-to-day direction and leadership to the data science team, driving performance and fostering a collaborative team spirit.
Identify opportunities to leverage data for meaningful productivity gains, building and delivering solutions that make a real difference.
Manage relationships with key technology providers and strategic partners.Greenfield Roadmap & Innovation
Lead the design and implementation of impactful data science functionalities, aligning with the broader strategic direction.
Collaborate with stakeholders to identify and develop capabilities that deliver service value and competitive advantage.
Be a thought leader in leveraging data-driven tools, including advanced machine learning and AI, to address complex challenges.Hands-On Development & Governance
Develop and deploy advanced data science solutions, maintaining best practices and quality throughout the process.
Define the technical requirements to enable seamless implementation and deployment of new capabilities.
Ensure compliance with relevant data legislation, standards, and risk management practices.What We’re Looking ForSkills & Experience
Proven experience leading data science and technical product development teams.
Expertise in programming languages such as Python, R, Julia, and SQL, alongside solid knowledge of machine learning, AI, and big data solutions.
Familiarity with the Microsoft Azure platform and the complete data product lifecycle.Mindset
A hands-on leader passionate about driving innovation.
Strategic thinker with the ability to execute complex projects from inception to release.
Collaborative and proactive, with a commitment to maintaining high professional standards

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.

Education Jobs

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.

Jobs

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.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

🍪 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.