Lead Data Scientist

The Company: A leader in innovative solutions, committed to excellence and customer satisfaction. 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.We are looking for a highly skilled and intellectually curious Senior Data Scientist with 10+ years of experience in applying advanced machine learning and AI techniques to solve complex business problems. The ideal candidate will have deep expertise in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI), along with strong hands-on coding skills and a proven track record of delivering impactful data science solutions. This role requires a blend of technical excellence, business acumen, and collaborative mindset and potential to lead a technical team.  Key Responsibilities  Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs, Transformers).  Build NLP solutions for tasks such as text classification, entity recognition, summarization, and conversational AI.  Develop and fine-tune GenAI models for use cases like content generation, code synthesis, and personalization.  Architect and implement Retrieval-Augmented Generation (RAG) systems for enhanced contextual AI applications.  Collaborate with data engineers to build scalable data pipelines and feature stores.  Perform advanced feature engineering and selection to improve model accuracy and robustness.  Work with large-scale structured and unstructured datasets using distributed computing frameworks.  Translate business problems into data science solutions and communicate findings to stakeholders.  Present insights and recommendations through compelling storytelling and visualization.  Mentor junior data scientists and contribute to internal knowledge sharing and innovation.  Requirements 10+ years of experience in data science, machine learning, and AI.  Strong academic background in Computer Science, Statistics, Mathematics, or related field (Master’s or PhD preferred).  Proficiency in Python, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face).  Experience with NLP and GenAI tools (e.g., Azure AI Foundry, Azure AI studio, GPT, LLaMA, LangChain).  Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases.  Familiarity with cloud platforms (Azure preferred, AWS/GCP acceptable) and MLOps tools (MLflow, Airflow, Kubeflow).  Solid understanding of data structures, algorithms, and software engineering principles.  Experience with Aure, Azure Copilot Studio, Azure Cognitive Services  Experience with Azure AI Foundry would be a strong added advantage  Preferred Skills  Exposure to LLM fine-tuning, prompt engineering, and GenAI safety frameworks.  Experience in domains such as consulting, finance, healthcare, retail, or enterprise SaaS.  Contributions to open-source projects, publications, or patents in AI/ML.  Soft Skills  Strong analytical and problem-solving skills.  Excellent communication and stakeholder engagement abilities.  Ability to work independently and collaboratively in cross-functional teams.  Passion for continuous learning and innovation.  Benefits 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 Recognition Employee friendly policies Personal development and training Health Benefits, Accident Insurance