Lead Data Scientist

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 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: Education: Bachelor’s or Master’s 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) 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, 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 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you’ll join a company at