Data Science Manager

About the role

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. Leadership & Strategy Lead and mentor a team of data scientists, ML engineers, and research scientists. Define and drive the AI/ML roadmap aligned with business goals. Collaborate with cross-functional teams (Product, Engineering, Business) to identify opportunities for AI-driven innovation. Advocate for ethical AI practices and model governance. Technical Execution Architect and implement scalable ML solutions using classical algorithms and deep learning frameworks. Design and deploy NLP models for various tasks. Build and fine-tune Generative AI models for diverse use cases. Conduct rigorous experimentation, model validation, and performance tuning. Project & Stakeholder Management Manage multiple AI/ML projects from ideation to production. Translate business requirements into technical specifications and actionable insights. Present findings and recommendations to senior leadership and stakeholders. Required Qualifications 15+ years of experience in Data Science, Machine Learning, and AI. Strong academic background in Computer Science, Statistics, Mathematics, or related field (PhD or Master's preferred). Hands-on experience with: Classical ML: XGBoost, Random Forest, SVM, etc. Deep Learning: CNNs, RNNs, LSTMs, Transformers NLP: BERT, GPT, LLaMA, T5, etc. GenAI: Diffusion models, LLM fine-tuning, prompt engineering Proficiency in Python, SQL, and ML libraries (scikit-learn, Hugging Face, LangChain, etc.). Experience with cloud platforms (Azure, AWS, GCP) and MLOps tools (AML, MLflow, Kubeflow, Airflow). Strong understanding of data architecture, feature engineering, and model deployment pipelines. Experience with vector databases, retrieval-augmented generation (RAG), and semantic search. Familiarity with LLMOps and GenAI safety frameworks. Experience with Aure, Azure Copilot Studio, Azure Cognitive Services Experience with Azure AI Foundry would be a strong added advantage Publications or patents in AI/ML domains. Good to know other cloud platforms like AWS, GCP and their respective data and AI services. Soft Skills Excellent communication and storytelling skills. Strong problem-solving and analytical thinking. Ability to inspire and lead high-performing teams. Adaptability in a fast-paced, evolving tech landscape. Benefits which make us unique At EZ, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Egon Zehnder can mean for you! Benefits Highlights: - 5 Days working in a Fast-paced work environment - Work directly with the senior management team - Reward and Reco

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