At a Glance
- Tasks: Lead a dynamic team in data engineering and machine learning to drive impactful solutions.
- Company: Join Quantum, a cutting-edge digital comparison service transforming consumer decisions.
- Benefits: Enjoy private healthcare, hybrid working, competitive salary, and exciting team events.
- Other info: Be part of a collaborative culture that values growth and recognition.
- Why this job: Make a real impact in a fast-paced environment with innovative technology.
- Qualifications: Proven leadership in data engineering or ML, with strong technical and commercial skills.
The predicted salary is between 60000 - 80000 £ per year.
Our Company at Quantum connects global brands with high-intent consumers. We turn intent into action and complexity into clarity. Our mission is clear: to help smarter, faster buying decisions. Our vision is to be the world’s most used digital comparison service, delivering value and simplicity to millions. We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale. With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors.
The Role: Our Data and Machine Learning team is growing! We’re looking for a Head of Data Engineering and Machine Learning to join our team in London. In this role, you will lead the data and ML teams that power the Quantum Platform, own the technical strategy and delivery roadmap for our data infrastructure and model estate, and turn business ambition into intelligence that scales.
- Key Responsibilities:
- Build, lead and develop a high-performing data engineering and ML team, recruiting and retaining engineers who take pride in what they ship and how it performs.
- Set and own the data engineering and ML technical strategy, so our data infrastructure and model estate scale with the business.
- Lead the delivery roadmap, meeting business objectives and making well-reasoned trade-offs where they are needed.
- Partner with product, marketing, commercial and executive leadership to shape data and ML priorities that move business performance.
- Set the technical bar and drive adoption of AI-led development across the function, staying close to the code where it counts.
About You: Proven experience leading and developing data engineering or ML teams, setting direction and building capability. A track record of delivering data and ML platforms that drove real customer and business results. Hands-on technical credibility: you enjoy getting into the detail to help your team land the right solution. Able to translate technical complexity into clear, business-relevant narratives for stakeholders at every level. Strong commercial acumen, comfortable engaging senior stakeholders on revenue, growth and competitive advantage. You thrive when working as part of a team. Comfortable in a fast-paced environment. Have excellent written and verbal English skills. Last but not least, you’ll have no ego!
What You’ll Get:
- Private Health Care (Bupa)
- Hybrid Working (3 days in office)
- Travel Insurance
- Competitive Base Salary
- Company Bonus Scheme
- Paid for AI Subscription (Claude / ChatGPT / Gemini)
- Market-Leading Training Programme
- Recognition & Reward Scheme
- Annual Company Conference
- Regular Happy Hours & Team Lunches
- Free Coffee, Drinks & Snacks
What’s the next step? Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at careers@quantum.media.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Engineering and Machine Learning in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Quantum!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Data Engineering and Machine Learning at Quantum.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Quantum.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data Engineering and Machine Learning at Quantum, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Head of Data Engineering and Machine Learning in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Quantum, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Quantum. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Quantum
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Quantum!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
