At a Glance
- Tasks: Drive innovation in data science, AI, and product development to combat ad waste.
- Company: Join Lunio, a forward-thinking tech company focused on impactful solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with a focus on rapid prototyping and collaboration.
- Why this job: Make a real difference by developing cutting-edge AI systems that enhance customer value.
- Qualifications: Strong experience in ML systems, Python, SQL, and cloud environments required.
The predicted salary is between 70000 - 90000 € per year.
As a Senior Data Scientist at Lunio, you will help build new capabilities that expand our value proposition and create new ways for customers to understand, detect, and act on ad waste. You will sit at the intersection of data science, AI, and product development. You will help identify opportunities to extend our core wasteful traffic prevention product, rapidly prototype new capabilities, and turn promising concepts into production-ready solutions in close collaboration with Engineering and Product. The role has a strong 0-to-1 component and will involve developing AI systems, leveraging LLMs, and/or advanced machine learning techniques where they can create meaningful value for our customers and strengthen our product offering.
Key Responsibilities
- R&D: Own the discovery and development of new capabilities that expand Lunio’s core wasteful traffic prevention product and strengthen our value proposition for customers, from early prototyping through to production-ready MVP.
- Experimentation: Translate customer and product needs into concrete hypotheses, experiments, and POCs, refining solutions as they develop.
- Concept-to-Launch Delivery: Work closely with Engineering and Product to take new capabilities from concept through to launch, ensuring successful prototypes are translated into robust, maintainable, production-ready solutions.
- Pragmatic ML & AI Application: Apply machine learning and AI techniques pragmatically, focusing on areas where they deliver clear customer or product value, and carefully balancing implementation effort against expected impact.
What makes a great Senior Data Scientist at Lunio?
- Strong experience designing, deploying, and operating production-grade ML systems, with a proven ability to rapidly prototype ideas and translate them into scalable, production-ready solutions.
- Deep proficiency in Python and SQL, with strong experience working with large-scale datasets in cloud environments.
- Hands-on experience with LLM-based systems and applied AI workflows, including RAG, agentic architectures, and other NLP techniques.
- Strong product and systems thinking, with an eye for scalability, reliability, and explainability.
- Practical and pragmatic — able to balance technical depth with speed and business impact.
You’ll really thrive in this role if you have:
- Proven experience with AWS, including SageMaker, Bedrock, Lambda, S3, and Redshift.
- Familiarity with MLOps best practices: evaluation, deployment, monitoring, and iterative improvement.
- Experience in Adtec, Media, or fraud detection.
Senior Data Scientist in London employer: Lunio
At Lunio, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid work model in vibrant cities like Manchester and London allows for flexibility while providing ample opportunities for professional growth and development in the cutting-edge fields of data science and AI. With a focus on meaningful projects that directly impact our customers, we empower our employees to take ownership of their work and contribute to pioneering solutions in ad waste prevention.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML and AI. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your experience with ML systems, Python, and SQL, and don’t forget to mention any hands-on work with LLMs or cloud environments.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for Lunio. Share specific examples of how you've developed AI systems or worked on production-ready solutions, and show us your passion for tackling ad waste.
Showcase Your Projects:If you’ve got any relevant projects or prototypes, make sure to include them in your application. We love seeing practical examples of your work, especially those that demonstrate your ability to turn concepts into scalable solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people and shows us you’re serious about joining our team at Lunio!
How to prepare for a job interview at Lunio
✨Know Your Stuff
Make sure you brush up on your machine learning and AI techniques, especially those relevant to the role. Be ready to discuss your experience with Python, SQL, and any large-scale datasets you've worked with. The more specific examples you can provide, the better!
✨Showcase Your Prototyping Skills
Since this role involves rapid prototyping, come prepared with examples of past projects where you took an idea from concept to a production-ready solution. Highlight your ability to balance speed with quality and how you collaborated with engineering and product teams.
✨Understand the Business Impact
Demonstrate your understanding of how data science can drive business value. Be ready to discuss how your work has previously contributed to customer satisfaction or product enhancement, particularly in areas like ad waste prevention or fraud detection.
✨Ask Insightful Questions
Prepare thoughtful questions about Lunio's current projects and future goals. This shows your genuine interest in the company and helps you gauge if it's the right fit for you. Think about how you can contribute to their mission and what challenges they might be facing.
