At a Glance
- Tasks: Lead and shape the London data/ML team while staying hands-on with technical contributions.
- Company: Join Almedia, Europe's #3 fastest-growing company, aiming for unicorn status.
- Benefits: Competitive compensation, equity options, and a clear growth path.
- Other info: Diverse and inclusive workplace that values talent and innovation.
- Why this job: Make a real impact by building a team and culture from scratch.
- Qualifications: Strong experience in applied ML and a passion for leadership.
The predicted salary is between 85500 - 104500 £ per year.
This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products.
Almedia runs Freecash, a rewards platform with ~80 million users, profitable since day one, and currently the #3 fastest-growing company in Europe. We're building out our first dedicated data/ML presence in London, and this is the seat that gets to shape it from the ground up. This is a rare opportunity to build a team and technical culture from first principles, with real autonomy over how it grows and a direct line between your decisions and the company's results.
The Role
You'll lead our London data/ML function, currently a single hire, growing to roughly 5-10 over the next year. You'll stay hands-on throughout: reviewing code, joining model reviews, and remaining a genuine technical contributor as you build out the team. Your impact will be measured the way ours is, in the results you help drive, not in headcount or process for its own sake. You'll report directly into our Chief Science Officer and work closely with our CTO.
What You'll Do
- Own the London data/ML team's roadmap, translating business priorities (reward/payout optimisation, real-time personalisation, offer ranking) into a team structure and technical plan.
- Stay close to the work, reviewing designs and code alongside your team, not just signing off on them.
- Hire, coach, and grow a small, high-ownership team; shape the technical bar and interview process as you scale.
- Partner directly with senior leadership to connect London's work to company-level outcomes.
- Help establish London as a core part of Almedia's technical foundation from day one.
What We're Looking For
- Strong individual-contributor credentials at a senior/staff/principal level; you've built significant things yourself, and want to keep building alongside your team as you lead.
- Deep experience owning a domain end-to-end, such as recommendation systems, marketplaces, adtech, pricing/uplift, or a comparably rigorous applied-ML domain.
- Comfort with ambiguity and a flat structure; you enjoy defining how something should work, not just running a playbook that already exists.
- A track record of connecting technical work directly to business outcomes you can point to.
What Excites You
You're drawn to the idea of shaping a team's culture and technical direction from the very beginning, rather than optimising a structure that's already in place. You like staying close to the code even as you take on more leadership, and you're motivated by seeing your work translate directly into business impact.
Compensation and equity for this role are bespoke, reflecting the seniority and scope of what we're building. We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
Site Lead Data & ML in London employer: ALmedia
Freecash.com is an exceptional employer for those seeking flexible and rewarding side hustle opportunities. With a vibrant work culture that encourages creativity and independence, employees can earn up to $400 per day while enjoying the freedom to work from anywhere at their convenience. The platform not only offers a variety of cash-out options but also fosters a community of over 50 million users, providing ample growth opportunities and a chance to be part of a highly rated online earning experience.
StudySmarter Expert Advice🤫
We think this is how you could land Site Lead Data & ML 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 ALmedia!
✨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 Site Lead Data & ML at ALmedia.
✨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 ALmedia.
✨Apply Directly through Our Website
When you find a suitable opening like Site Lead Data & ML at ALmedia, 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 Site Lead Data & ML 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 ALmedia, 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 ALmedia. 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 ALmedia
✨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 ALmedia!
✨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.
