Data Science Manager

The Company

Egon Zehnder ( is trusted advisor to many of the world’s most respected organizations and a leading Executive Search firm, with more than 600+ consultants and 69 offices in 41 countries spanning Europe, the Americas, Asia Pacific, the Middle East and Africa. Our clients range from the largest corporations to emerging growth companies, government and regulatory bodies, and major educational and cultural institutions. The firm is a private partnership which allows us to operate independent of any outside interests. As a result of this unique culture, Egon Zehnder has the highest professional staff retention rate for a global firm in our profession. We have a blue-chip client base across all industries and operate at the Board and senior management level.

Knowledge Centre India (KCI)

Knowledge Center India (KCI) is the central engine that drives the operational value for the firm. Established in 2004, KCI has evolved over the years from purely operational efficiencies into more value-added service offerings, becoming a true business partner. There are various teams based at KCI that work with Global Offices, Practice Groups, and the Management across all aspects of the firm's business life cycle. With a headcount of more than 500, the center has 5 core teams working including Experts, Research Operations, Visual Solutions, Projects/CV Capture and Digital IT, working round the clock on many mission critical elements.

Who We Are!

We are part of Digital-IT team established 17 years ago in Gurgaon, India to provide technology support and rollout digital initiatives to 60 plus global offices. Digital IT has six key pillars – Collaboration Technology; Functional Technology; Digital Technology; Security & Architecture; Infrastructure & Services, Digital Success to support business and to take lead on digital transformation initiatives with the total strength of 150+ team members across the globe.

The Position

We are seeking a seasoned and visionary Data Science Manager with deep expertise in AI/ML, including Classical ML, Deep Learning, NLP, and Generative AI. The ideal candidate will have a strong technical foundation, proven leadership experience, and a passion for solving complex business problems using data-driven approaches. This role requires a balance of strategic thinking, hands-on technical execution, and team leadership.