Head of Data Science and Analytics Up to £120,000 Benefits London (Hybrid, 3 days onsite per week) About the Role A leading global strategy consulting firm is seeking a talented and experienced Head of Data Science and Analytics to spearhead their data-driven initiatives. This is a high-impact role, working at the intersection of strategy and technology, where you will lead a dynamic team to deliver advanced analytics and machine learning solutions across a variety of industries. This is your opportunity to work in a fast-paced, intellectually stimulating environment, using data to solve complex business challenges and drive tangible outcomes. Key Responsibilities Lead and develop the Data Science and Analytics team, fostering innovation and collaboration. Define and execute the data science strategy to support consulting engagements and internal operations. Partner with consulting teams to identify client challenges and design tailored, data-driven solutions. Develop and deploy advanced machine learning models to deliver insights and enhance decision-making. Drive thought leadership in data analytics, advising clients on leveraging data for strategic growth. Ensure best practices in data governance, ethics, and compliance across projects. Collaborate with senior stakeholders to identify opportunities for analytics innovation. What We’re Looking For Proven experience in a leadership role within Data Science or Analytics, ideally in a consulting or professional services environment. Strong technical expertise in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI). Expertise in machine learning, statistical modeling, and advanced analytics techniques. A strategic mindset with the ability to bridge the gap between business challenges and data solutions. Exceptional leadership skills with a track record of managing high-performing teams. Strong communication and stakeholder management skills, with the ability to convey complex technical concepts to non-technical audiences. A passion for driving data-driven decision-making and innovation. How to Apply Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.