Lead Data Scientist

About this Role We are seeking a Lead Data Scientist to lead high-impact data science initiatives that convert diverse data into actionable insights and decision support . You will be responsible for designing, developing, and implementing solutions that drive research excellence, operational efficiency, and revenue growth.  This role requires hands-on technical leadership as well as collaboration with multiple cross-functional stakeholders.

Harness advanced technologies to extract, interpret, and visualize insights from large volumes of structured and unstructured data. Collaborate with stakeholders to design, develop, and implement cutting-edge solutions that deliver insights through Machine Learning , Deep Learning , and Generative AI techniques. Innovate in text analytics and develop creative approaches for interpreting complex datasets to deliver impactful recommendations. Own high-visibility programs that translate business objectives into measurable results such as improved engagement, retention, and cost efficiency. Build text analytics and knowledge retrieval capabilities for large-scale unstructured data to generate accurate, explainable insights. Define standards for evaluation, guardrails, prompt engineering, retrieval quality, and hallucination control to ensure trustworthy AI. Enforce best practices in documentation, code reuse, and model lifecycle management while enhancing algorithms to meet evolving needs. Ensure responsible AI practices covering data privacy, IP, safety, and auditability. Mentor and develop a high-performing team of data scientists, fostering a culture of innovation and impact. What We’re Looking For: Proven expertise in Python, Agentic AI, RAG pipelines, LLMs, NLP, knowledge graphs and advanced ML/DL algorithms.  Experience utilizing the AI tech stack (LLMs, workflows, tools/plug-ins, agents, multi-model capabilities, etc.) Expertise with LLM customization techniques (RAG, tuning, advanced prompting, etc.)   Passionate leader with a strong appetite for learning and applying emerging AI and data science technologies. Experience analysing unstructured data and building scalable solutions. Ability to foster innovation and drive adoption of next-generation AI tools for impactful business outcomes. Strong knowledge of model serving, monitoring and evaluation frameworks. Proven expertise with vector databases, knowledge databases, embeddings, feature stores, and cloud platforms (Azure/AWS). Proficiency in prompt engineering, responsible AI practices, and governance (privacy, auditability, compliance). What You’ll Need:

Bachelor’s or Master’s in Computer science, Engineering, Statistics, Mathematics, or related field from a reputed college.

Overall: 8+ years in data science/AI/ML roles. Hands-on: 6+ years applying ML/DL, NLP, and LLMs to real-world business problems, including text mining and unstructured data analysis. Technical Skills: Expertise in Agentic AI , RAG pipelines , LLMs , prompt engineering , and evaluation frameworks. Well-versed in a wide range of ML algorithms, advanced statistics, and natural language processing. Advanced proficiency in Python and SQL , with strong experience in libraries such as Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, SpaCy, NLTK. Hands-on experience with vector databases (FAISS, pgvector etc) o          Practical experience with AWS , Azure , or GCP for model training, deployment, and scaling. o            Familiarity with distributed computing (Spark/Databricks). Strong background in data preparation, cleaning, normalization, and handling large-scale unstructured text data. Knowledge of responsible AI, privacy, auditability, and code management using GitHub/Bitbucket. Basic visualization skills in Excel, Power BI, or Streamlit for dashboards and insights. Soft Skills: Excellent communication, stakeholder management, problem-solving, and ability to work in fast-paced,