Lead Data Scientist (AI)

Lead Data Scientist (AI) - Hybrid/West London/Hounslow - £727 - 819

Skills/experience

• PhD or Master's degree in Data Science, Computer Science, Statistics, or a closely related discipline.
• Extensive experience in data science and artificial intelligence, with a proven record of leading high-impact AI projects and teams.
• Expertise in establishing and maintaining rigorous quality assurance frameworks for Data Science initiatives.
• Exceptional communication skills, with the ability to distil complex technical concepts for non-technical audiences.
• Proven ability to inspire and lead cross-functional teams, driving collaboration and translating technical insights into business value.
• Experience in AI governance, ethical frameworks, and regulatory compliance.

Skills:

• Advanced proficiency in data science techniques, including machine learning, optimisation, simulation, deep learning, and generative AI.
• Comprehensive understanding of the mathematical foundations underpinning AI algorithms.
• Strong stakeholder engagement and relationship-building abilities.
• Ability to translate technical outputs into clear, business-aligned insights.
• Commitment to responsible and transparent AI development and deployment.

Role

• Lead and manage the Data Science team, driving the conception, development, and deployment of robust AI solutions tailored to business needs.
• Act as the primary authority for AI work, accountable for quality, impact and relevance of all Data Science deliverables at the location.
• Collaborate closely with the Principal Data Scientist and the Lead Data Scientist to ensure consistent standards and alignment of AI initiatives across both sites.
• Engage with key business stakeholders and cross-functional teams, translating complex technical concepts into actionable business insights and ensuring solutions are understood and endorsed.
• Maintain rigorous quality assurance and governance protocols for all AI projects, ensuring compliance with ethical and regulatory standards.

• PhD or Master's degree in Data Science, Computer Science, Statistics, or a closely related discipline.
• Extensive experience in data science and artificial intelligence, with a proven record of leading high-impact AI projects and teams.
• Expertise in establishing and maintaining rigorous quality assurance frameworks for Data Science initiatives.
• Exceptional communication skills, with the ability to distil complex technical concepts for non-technical audiences.
• Proven ability to inspire and lead cross-functional teams, driving collaboration and translating technical insights into business value.
• Experience in AI governance, ethical frameworks, and regulatory compliance.

Skills:

• Advanced proficiency in data science techniques, including machine learning, optimisation, simulation, deep learning, and generative AI.
• Comprehensive understanding of the mathematical foundations underpinning AI algorithms.
• Strong stakeholder engagement and relationship-building abilities.
• Ability to translate technical outputs into clear, business-aligned insights.
• Commitment to responsible and transparent AI development and deployment.