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: Attractive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on creativity and scalability.
- 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.
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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML and AI. We love seeing practical applications of your work, so make sure it’s easy to access and understand.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to build confidence and refine your answers.
✨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’re always on the lookout for passionate candidates who fit our culture.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with ML systems, Python, and SQL, and don’t forget to mention any hands-on work with LLMs or cloud environments like AWS.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your skills can help us at Lunio. Be specific about your past projects and how they relate to our mission.
Showcase Your Projects:If you’ve got a portfolio of projects, make sure to include it! We love seeing real-world applications of your skills, especially those that demonstrate your ability to prototype and deliver production-ready solutions.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
How to prepare for a job interview at Lunio
✨Know Your Stuff
Make sure you brush up on your Python and SQL skills, as well as your experience with LLMs and machine learning techniques. Be ready to discuss specific projects where you've designed and deployed production-grade ML systems, and how you approached prototyping and scaling those solutions.
✨Understand the Company’s Needs
Dive deep into Lunio's core product and think about how your skills can enhance their wasteful traffic prevention capabilities. Prepare examples of how you've translated customer needs into actionable experiments or prototypes in the past, showing that you can align your work with their goals.
✨Showcase Your Pragmatic Approach
Be prepared to discuss how you balance technical depth with business impact. Share instances where you've applied machine learning and AI techniques pragmatically, focusing on delivering clear value while managing implementation efforts effectively.
✨Collaborate Like a Pro
Since this role involves close collaboration with Engineering and Product teams, highlight your teamwork experiences. Talk about how you've worked cross-functionally to take concepts from idea to launch, ensuring that prototypes are robust and maintainable.
