Lead Data Scientist

Responsibilities

• Design and implement ML and AI solutions, including LLM-based and traditional approaches
• Apply techniques such as RAG, embeddings, and fine-tuning to solve business challenges
• Contribute to the development of AI applications using agentic patterns like tool use and orchestration
• Work with structured and unstructured data to support model development and analysis
• Deploy models and support them in production using engineering and MLOps best practices
• Translate complex business questions into clear data science approaches
• Communicate technical results and insights to both technical and non-technical stakeholders
• Identify new opportunities where data science and AI can add value for global brands

Requirements

• 5+ years of experience in Data Science or Analytics
• Strong foundation in machine learning and predictive modelling
• Exposure to Generative AI concepts (e.g., LLMs, RAG, fine-tuning, prompt engineering)
• Proficiency in Python and SQL
• Familiarity with cloud platforms such as GCP, Azure, or AWS
• Experience working with real-world, production data problems
• Strong technical communication skills and ability to explain insights to non-technical audiences

Preferred Qualifications

• Experience in consulting or client-facing environments
• Hands-on experience designing and deploying Agentic AI systems
• Experience with MLOps practices and taking models into production environments
• Exposure to modern data engineering practices and data pipelines
• Awareness of Responsible AI practices, including bias, evaluation, and safety

About the Company

Valtech is the experience innovation company that helps brands unlock new value in an increasingly digital world. By blending data, AI, creativity, and technology, we drive transformation for leading global organizations including L’Oréal, Mars, Audi, and Volkswagen.