At a Glance
- Tasks: Design and implement machine learning models to enhance user engagement and performance.
- Company: Join Almedia, Europe's #3 fastest-growing company, aiming for unicorn status.
- Benefits: Generous bonuses, career growth opportunities, and a dynamic work environment.
- Why this job: Make a real impact in a high-speed, high-ownership culture.
- Qualifications: Experience in machine learning, strong statistical knowledge, and excellent communication skills.
- Other info: Mentor others while working in a collaborative, innovative team.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Staff Data Scientist role at Almedia. 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 50 million users for engaging with our advertisers' products. We are offering a new way to acquire users for the biggest companies in the world.
At Almedia, you’ll:
- Own way more, way earlier — you’ll be trusted with responsibility fast.
- Push harder, get further — this isn’t a 9–5. We highly reward intensity.
- Join a rare environment — you will work with ambitious high-speed, high-ownership people.
- Be fully present — we’re 5 days a week in the office to build the energising momentum we need.
We’re looking for a Staff Data Scientist to join our growing team in Berlin and help shape the next stage of our product and data capabilities.
What You’ll Work On:
- Design and implementation of machine learning models which personalise recommendations for users, whilst optimising for performance, engagement and conversion within gaming user acquisition.
- Build and optimise our incentives reward structures focusing on motivating and retaining users whilst improving in-app ROAS.
- Collaborate with data analytics and engineering to improve data structures, visibility, and traceability.
- Establish technical best practices for the team, including documentation, data product ownership, measurement plans, and experimentation frameworks.
- Define and help implement KPIs that align team output with business goals, ensuring every model, dashboard, and analysis has a purpose and outcome.
- Mentor and support both data scientists and analytics engineers, driving high standards and helping the team scale effectively.
What We’re Looking For:
- Strong experience building and deploying machine learning models in a product-driven environment, ideally in Gaming, AdTech, gambling or user-incentive systems.
- Deep statistical and modelling knowledge for complex experimentation design, uplift modelling and causal impact estimation of counterfactual outcomes.
- Strong understanding of data engineering workflows and modern data stack tools (e.g. DBT, Airflow, K8s).
- Excellent communication and leadership skills, with the ability to drive clarity, create structure, and bring stakeholders on board.
Why Almedia:
- Scale With Almedia: Have a real impact and grow alongside a startup that has been profitable from day one.
- High‐Growth Environment: We encourage all staff to take ownership of projects and consistently raise the bar.
- Do More, Get More: Generous bonus scheme to ensure great, proactive work is valued.
- 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.
Data Scientist in London employer: ALmedia
Contact Detail:
ALmedia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Almedia on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning models and data engineering workflows. Be ready to discuss how you've used these skills in real-world scenarios, especially in gaming or AdTech.
✨Tip Number 3
Show off your passion for data! During interviews, share examples of projects where you’ve taken ownership and driven results. Almedia loves ambitious folks who push boundaries.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data science shine through! We want to see how excited you are about the role and how you can contribute to our mission at Almedia.
Tailor Your CV: Make sure your CV is tailored to the Staff Data Scientist position. Highlight relevant experience, especially in machine learning and user-incentive systems. We love seeing how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for Almedia. Share specific examples of your past work and how it relates to the responsibilities outlined in the job description. We want to know you better!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at ALmedia
✨Know Your Stuff
Make sure you brush up on your machine learning models and data engineering workflows. Almedia is looking for someone with strong experience in these areas, so be ready to discuss your past projects and how you've applied your skills in a product-driven environment.
✨Show Your Passion
Almedia values intensity and ambition, so don’t hold back on expressing your enthusiasm for the role. Share why you're excited about working in a high-growth environment and how you can contribute to their mission of building the future of marketing.
✨Prepare for Collaboration
Since the role involves collaborating with data analytics and engineering teams, think of examples where you've successfully worked with cross-functional teams. Be ready to discuss how you can help improve data structures and visibility while driving clarity among stakeholders.
✨Ask Insightful Questions
Prepare some thoughtful questions that show your interest in Almedia's goals and challenges. Inquire about their current projects, the team dynamics, or how they measure success. This not only demonstrates your engagement but also helps you assess if the company is the right fit for you.