This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: The work we do and innovation we drive; Our Values of share, care and dare; A workplace culture that fosters creativity, diversity and autonomy; Our borderless, global framework, which enables seamless collaboration. The Role: As a Lead Data Scientist, you bring strong commercial experience applying data science to solve real-world business challenges. You are comfortable working across classical machine learning and emerging AI techniques, particularly in LLM/Agentic AI space. You can move between hands-on modelling, exploring new approaches (e.g. LLMs), and explaining insights clearly to non-technical stakeholders. With a pragmatic, problem-solving mindset, you help shape opportunities and deliver impactful solutions.
Job Responsibility:
Work with structured and unstructured data to support model development and analysis
Design and implement ML and AI solutions, including LLM-based and traditional approaches
Apply techniques such as RAG, embeddings, and fine-tuning where appropriate
Contribute to development and optimization of AI applications using established and emerging agentic patterns (e.g. tool use, orchestration, multi-step reasoning)
Apply evaluation frameworks to assess model and system performance
Contribute to deploying models and supporting them in production using engineering and MLOps best practices
Stay up to date with emerging AI techniques and experiment with new approaches, tools, and frameworks
Translate business questions into clear data science approaches
Communicate results and insights to technical and non-technical stakeholders
Contribute to identifying opportunities where data science and AI can add value
Support project scoping and provide guidance to less experienced team members when needed
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)
Strong programming skills in Python and SQL
Familiarity with cloud-based solutions (e.g. GCP, Azure, AWS)
Experience working with real-world, production data problems
Ability to communicate technical concepts clearly to non-technical stakeholders
Nice to have:
Experience in consulting or client-facing environments
Hands-on experience designing and deploying Generative AI solutions, including Agentic AI systems
Experience with MLOps practices and taking models into production environments
Exposure to modern data engineering practices and integration with data pipelines
Awareness of Responsible AI practices (bias, evaluation, safety)