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Senior Data Scientist | London | Hybrid
We're working with a global leader in entertainment and communications, the powerhouse behind some of the world's most loved streaming services and broadcasting hardware, on this exciting opportunity.
This is a chance to join a high-impact Group AI function, building next-generation Large Language Model (LLM) solutions that define the future of customer experience. You’ll be at the forefront of Generative AI, leveraging massive datasets to move beyond experimentation into production-grade RAG systems and conversational agents.
The Role
• Lead the design and development of Generative AI solutions, including Retrieval-Augmented Generation (RAG), conversational AI, and synthetic content creation.
• Translate complex business challenges into structured Data Science problems, defining hypotheses and measurable success metrics for the business.
• Build and implement rigorous LLM evaluation frameworks (LLM-as-a-judge) and statistical significance testing to validate model performance.
• Collaborate with cross-functional teams of Engineers and Product owners to take AI-driven products from initial ideation to full-scale deployment.
• Leverage immense proprietary data assets to establish robust evaluation benchmarks and scalable AI solutions.
What You'll Need
• Advanced degree (MSc or PhD) in a quantitative field (Statistics, Physics, Maths, CS) or equivalent deep industry experience in Data Science.
• Hands-on experience developing and deploying Large Language Model (LLM) applications within a large-scale enterprise environment.
• Expert-level Python skills and deep familiarity with the ML ecosystem, including PyTorch, Scikit-learn, and XGBoost.
• Proven experience with Vector Databases, data querying languages, and advanced information retrieval methods.
• A commercial mindset with the ability to communicate complex technical concepts to stakeholders in terms of business value and ROI.
What's On Offer
• Highly competitive benefits including premium TV and streaming packages at exclusive rates.
• Comprehensive private healthcare and a generous pension contribution package.
• Access to a world-class campus featuring onsite cinemas, subsidised gyms, restaurants, and beauty salons.
• Flexible hybrid working model balancing home convenience with unique, collaborative office spaces.
Apply via Haystack today!
Key Skills
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