Lead Data Scientist (Agentic AI, LLM/GenAI, RAG, Classical ML/NLP)

Job description

**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. **Key Responsibilities:** - 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 Were 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:** **Education:** Bachelors or Masters in Computer science, Engineering, Statistics, Mathematics, or related field from a reputed college. - **Experience:** - **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) - Practical experience with **AWS**, **Azure**, or **GCP** for model training, deployment, and scaling. - 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, milestone-driven environments. **What you will get:** - Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! - Collaborative, team-oriented culture that embraces diversity - Professional development and unlimited growth opportunities