Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
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.
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.
You will thrive in this role if you are:
- A curious problem solver who challenges the status quo
- Comfortable bridging the gap between technical data science and client business needs
- Passionate about innovation and exploring “what’s next” in AI and ML
- Experienced in working within Agile methodologies and consultancy environments
- Keen to take ownership while supporting and guiding others
Role Responsibilities
Data Science, AI & Delivery
- 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
Problem Scoping & Client Engagement
- Translate business questions into clear data science approaches
- Communicate results and insights to technical and non‑technical stakeholdersContribute to identifying opportunities where data science and AI can add value
- Support project scoping and provide guidance to less experienced team members when needed
Must have Qualifications
- 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 Qualifications
- 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)
At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
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