At a Glance
- Tasks: Lead and scale a cutting-edge Data Science function focused on AI and machine learning.
- Company: Fast-scaling, innovation-led business with a mission to turn data into growth.
- Benefits: Competitive salary, modern infrastructure, and the freedom to shape strategy.
- Other info: Join a dynamic team with genuine executive backing and excellent career growth potential.
- Why this job: Make a real impact by driving AI adoption and unlocking new revenue opportunities.
- Qualifications: Proven leadership in Data Science and expertise in machine learning.
The predicted salary is between 80000 - 100000 € per year.
The team at MRJ Recruitment are partnering with a fast-scaling, innovation-led business making significant investment across Data Science, AI and intelligent automation, with a clear mission to turn data into a core commercial growth engine. This is a rare opportunity for an ambitious Data Science leader to build and shape a function with genuine executive backing, modern infrastructure and the freedom to define strategy, architecture and capability from the ground up.
The business is entering a major phase of AI adoption, focused on creating intelligent systems that connect raw data with live commercial outcomes, spanning product intelligence, pricing optimisation, recommendation engines, automated creative generation and next-generation search experiences.
The Opportunity
As the Head of Data Science, you’ll lead the evolution of advanced ML and agentic AI capabilities across the organisation, driving automation, experimentation and real-time decision-making at scale. You’ll operate at the intersection of commercial strategy, machine learning and AI innovation, building systems that reduce manual intervention, improve performance and unlock entirely new revenue opportunities. This is not a role focused on maintaining legacy models or managing incremental change. You’ll define the vision, influence senior stakeholders, grow a high-performing Data Science capability and help establish AI as a true competitive advantage for the business.
What You’ll Be Doing
- Leading and scaling a commercially focused Data Science function
- Driving the development of ML powered Martech, Search, Pricing
Head of Data Science employer: MRJ Recruitment
At MRJ Recruitment, we pride ourselves on being an exceptional employer that fosters innovation and growth in the heart of Manchester. Our collaborative work culture encourages creativity and empowers our employees to take ownership of their projects, while our commitment to professional development ensures that you will have ample opportunities to advance your career in the rapidly evolving field of Data Science and AI. Join us to be part of a forward-thinking team that is not only shaping the future of technology but also making a significant impact on commercial success.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or conferences related to Data Science and AI. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects and achievements in Data Science. Use platforms like GitHub to share your code and demonstrate your expertise. This will make you stand out when you’re chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and think about how you can relate your experience to the role of Head of Data Science. Confidence is key, so get ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight how your vision aligns with the company’s mission to turn data into a core commercial growth engine. Let’s get you that dream job!
We think you need these skills to ace Head of Data Science
Some tips for your application 🫡
Show Your Passion for Data Science:Let us see your enthusiasm for data science in your application! Share specific examples of projects or experiences that highlight your love for turning data into actionable insights. This will help us understand why you're the perfect fit for this innovative role.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to align with the job description. Highlight your experience in machine learning, AI, and commercial strategy, as these are key areas for us. A tailored application shows us you’re genuinely interested in the position!
Quantify Your Achievements:When detailing your past experiences, use numbers to quantify your achievements. Whether it’s improving performance metrics or driving revenue growth, we love to see concrete results. This helps us gauge the impact you could have on our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re proactive and keen to join our team!
How to prepare for a job interview at MRJ Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on the latest trends in machine learning and AI. Be ready to discuss your experience with advanced ML techniques and how you've applied them in real-world scenarios. This role is all about innovation, so showcasing your knowledge of cutting-edge technologies will definitely impress.
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll need to lead a team and influence stakeholders. Prepare examples of how you've successfully built and scaled teams in the past. Talk about your approach to fostering a high-performing culture and how you've driven strategic initiatives that align with business goals.
✨Connect Data to Business Outcomes
This role is about turning data into a commercial growth engine. Be ready to explain how your data science projects have directly impacted business performance. Use specific metrics or case studies to illustrate how your work has led to improved decision-making or revenue generation.
✨Prepare for Strategic Discussions
Expect to engage in conversations about the intersection of data science and commercial strategy. Think about how you would define the vision for the data science function and what strategies you would implement to establish AI as a competitive advantage. Being able to articulate a clear strategy will set you apart.
