Lead Data Scientist - GenAI Specialist (Contract Role) We are seeking an experienced Lead Data Scientist with expertise in Generative AI (GenAI) to take ownership of end-to-end data science solutions for high-impact projects across a range of industries. This is a contract position offering the opportunity to lead cutting-edge AI initiatives, collaborate with diverse teams, and deliver tangible business value through advanced analytics and machine learning. About the Role As the Lead Data Scientist, you will: • Drive the design and delivery of end-to-end data science solutions with a focus on GenAI and Large Language Models (LLMs). • Manage and mentor junior data scientists and analysts, ensuring best practices and high delivery standards. • Collaborate with cross-functional teams to integrate AI solutions into business processes. • Present compelling insights and recommendations to senior stakeholders and clients. • Contribute to project proposals, solution design, and business development initiatives. This is an ideal role for someone who thrives on solving complex problems with innovative approaches while balancing real-world practicality to deliver meaningful impact. Key Responsibilities ? Lead multiple data science projects from concept to deployment. ? Architect and implement GenAI/LLM solutions (prompt engineering, fine-tuning, evaluation frameworks). ? Write and review high-quality Python code for production-ready solutions. ? Communicate complex analytical findings in a clear, business-relevant way to senior stakeholders. ? Mentor junior team members and help shape the growth of the data science function. ? Support proposal development and contribute to strategic planning of future projects. What You'll Bring ?? Proven experience leading end-to-end data science projects in a commercial setting. ?? Deep expertise in GenAI and LLMs - from model selection to optimization and deployment. ?? Strong Python programming skills with experience in production environments. ?? Excellent communication skills and ability to engage with senior stakeholders. ?? Track record of translating complex analytics into actionable business insights. Nice to have: • Experience working with large-scale data and cloud-based environments. • Background in consulting or client-facing project delivery. • Familiarity with sectors such as manufacturing, energy, healthcare, or public sector. • Understanding of MLOps and data science solution lifecycle. Why Join? ? Work on groundbreaking AI projects with real-world applications. ? Collaborate with a team that values innovation, creativity, and measurable impact. ? Opportunity to influence the direction of projects and mentor future data science leaders. ? Flexible contract arrangements and the potential for ongoing collaboration.