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

Apply Now

Head of Data Science

Mirai Talent
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Head Of Data Science

Head of Data Science

Head of Data Science & AI Strategy

Head of Data Science Technology (Product, Engineering, Design) · London ·

Hands-on Head of Data Science - FinTech Growth

Chief Data Scientist, Marketing Science & Growth

Direct message the job poster from Mirai Talent

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.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesComputer Games and Financial Services

Referrals increase your chances of interviewing at Mirai Talent by 2x

Sign in to set job alerts for “Head of Data Science” roles.

Manchester Area, United Kingdom 1 week ago

Manchester, England, United Kingdom 1 month ago

Manchester Area, United Kingdom 1 week ago

Manchester Area, United Kingdom 2 weeks ago

Manchester, England, United Kingdom 5 days ago

Manchester, England, United Kingdom 7 months ago

Analytics and Market Intelligence Manager

Manchester, England, United Kingdom 5 days ago

Analytics and Market Intelligence Manager

Manchester, England, United Kingdom 4 days ago

Manchester Area, United Kingdom 2 weeks ago

Manchester, England, United Kingdom 5 days ago

Associate / Project Director - Project Controls Analytics

Manchester, England, United Kingdom 1 week ago

Manchester, England, United Kingdom 3 weeks ago

Data and Business Intelligence Manager - Manchester

Manchester, England, United Kingdom 2 weeks ago

Manchester, England, United Kingdom 2 days ago

Manchester, England, United Kingdom 1 month ago

Manchester, England, United Kingdom 2 weeks ago

Mechanical Engineering Degree Apprenticeship

Greater Manchester, England, United Kingdom 2 weeks ago

Electrical Engineering Degree Apprenticeship

Greater Manchester, England, United Kingdom 2 days ago

Salford, England, United Kingdom 1 month ago

Manchester, England, United Kingdom 2 weeks ago

Salford, England, United Kingdom 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.