Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Head of Data Science – Research & Development

Mirai Talent
Greater Manchester
2 weeks ago
Create job alert

Head of Data Science & Research
Location: Manchester (2 days a week in City Centre, flexible remote)


A disruptive financial services SaaS company based in Manchester, leading the industry with cutting-edge technology and a passionate focus on innovation are hiring for a brand new role. You’d be working closely with their well-established Data and Analytics department which spans data science, engineering, and analytics, serving as the engine of their strategic advantage.


As they embark on an exciting new phase of growth, they are establishing a dedicated Research and Data Science department to fuel their innovation pipeline.


As the Head of Data Science & Research you will lead this function, designing and executing the research strategy that will shape their future offerings.


Key Responsibilities:

Strategic Roadmapping: Lead the design, architecture, and development of the research and data science function, including infrastructure, tools, and methodologies.
Team Leadership: Build, develop, and mentor a high-performing team of data scientists and data engineers, fostering a culture of innovation and excellence.
Research Leadership: Define the research agenda, focusing on experimental and hypothesis-driven approaches, developing rigorous methodologies to test commercial hypotheses in simulation environments, and rolling out proof-of-concept solutions.
Cross-Functional Collaboration: Work closely with the CTO, data leaders, and business stakeholders to align research efforts with business objectives and ensure commercial impact.
Innovation & Experimentation: Drive the application of advanced analytics, machine learning, and AI to solve complex industry problems, delivering tangible value.
Project Execution: Oversee the end-to-end delivery of research initiatives from concept to implementation.


Ideal Candidate Profile:

Proven experience in leading research-oriented data science teams within a commercial setting.
Demonstrable success in formulating hypotheses, developing testing frameworks, and validating ideas through simulations or pilot projects.
Strong background in designing scalable data architectures, data pipelines, and experimentation environments.
Excellent leadership skills with a track record of hiring, developing, and inspiring talented data teams.
Strategic thinker with the ability to balance innovative research with business deliverables.
Strong collaboration skills, capable of working closely with technical and non-technical stakeholders.

This is a unique opportunity in the North. Get in touch now to discuss!


Mirai believes in the power of diversity and the importance of an inclusive culture. It welcomes applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both its team and its partners’ teams. This is just one of the ways they’re taking positive action to shape a collaborative and diverse future in the workplace.

Related Jobs

View all jobs

Head of Data Science

Data Scientist Genomic Epidemiology - Pathogen

Principal, Data Engineering (Remote)

Head of Data Science

Head of Data Engineering and Informatics

Head of Data Engineering and Informatics

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.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.