Head of Data Science

Harnham
2 months ago
Applications closed

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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 experiencedHead of Data Science and Analyticsto 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.

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