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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, and 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.
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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.
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Company Benefits
- Hybrid working - We offer flexible, hybrid working from our London or Manchester offices. No spending the whole working week in the office, unless you want to.
- 35 days holiday - Plenty of time off to recharge your batteries (or just binge Netflix, whatever floats your boat).
- Home office - We’ll pay up to £1500 to support your home office set up to ensure you have the best environment and equipment for success in your role.
- Private healthcare - As a UK Lunio employee, you can join our BUPA Healthcare Scheme. Choose to fund this from your Wellbeing Budget, or from your salary.
- Mental health and wellbeing - Paid-for support up to £500 to help your mental and physical wellbeing both in and out of work.
- Enhanced parental leave - We offer extended maternity, paternity, and shared parental paid time off to spend quality time with family.
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