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

Apply Now

Head of Data Science

ECOM
Manchester
6 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 ·

Head of Data Science

Head of Data Analytics & Insights

ECOM are partnered with an exciting software development company based in Manchester who are looking for a Head of Data Science.


As the Head of Data Science, you will be at forefront of the technical and strategic vision in the analytics and data science domain. Your expertise and leadership experience in the data science domain will help influence and shape the future of data-driven products. Working closely with C-suite management, you will set the direction on how to leverage technology towards future goals.


Your day-to-day responsibilities will include:


  • Leading the UK Data Team (8 Direct reports)
  • Collaborate with the engineering and product practices.
  • Team management, including recruitment, onboarding, and developing top talent, ensuring that the team has the skills, resources and support needed to excel in their roles.
  • Partner closely with C-Suite management to present project / product results
  • Help drive end to end data science and implement AI / Machine Learning
  • Ensuring that all data science deliverables meet the highest standards of quality, accuracy, reliability and implement rigorous testing and validation processes to validate model performance and mitigate risks.
  • Leading the end-to-end process of model development, including data collection pre-processing, feature engineering, model selection, training, evaluation, and validation


Who You Are:


  • Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning or related field.
  • Proven track record of successfully leading Data / Machine Learning teams
  • Experienced in building and deploying a variety of models.
  • Excellent communication skills and collaboration skills with the ability to work with cross-functional teams.
  • Ability to communicate effectively and explain technical / complex concepts to non-technical stakeholders
  • Experienced in Python, SQL, Tensorflow and a cloud platform


Our client is an exciting phase of their growth and as a Head of Data Science you will have the opportunity to put your stamp on an already established business during this phase of development.


Operating with a hybrid business model, you'll be required to come into the Manchester office 2 days per week to collaborate with fellow colleagues.


For your hard work you'll receive a very competitive salary of up to £130,000 per year, equity, private health insurance and much more.


If you're interested in finding out more information, please apply through the link below and I'll contact you ASAP.


*Please note, sponsorship is not available for this role*

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

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Jobs

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

🍪 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.