We are seeking a highly skilled and passionate Data Scientist to design, build, and productionize enterprise-grade analytics and Gen AI-powered solutions that enhance insights, recommendations, and decision-making across enterprise platforms. The role focuses on developing, deploying, and operating machine learning and applied Gen AI models—including LLM-based insight generation, summarization, and decision augmentation—using large-scale structured and semi-structured data, with solid emphasis on scalability, reliability, governance, and enterprise readiness.
Responsibilities:
Advanced Analytics & Data Science:
- Translate business problems into data science, statistical, and machine learning solutions that drive measurable outcomes across enterprise use cases.
- Perform data exploration, feature engineering, model development, and evaluation on large-scale structured and semi-structured datasets.
- Build and deploy predictive, prescriptive, and descriptive models, ensuring interpretability, robustness, and alignment with business objectives.
- Partner closely with business,



product, and analytics teams to validate assumptions, define success metrics, and deliver actionable insights.
Applied Gen AI & LLM Enablement:
- Apply Gen AI techniques to augment data science workflows, including LLM-based insight generation, summarization, classification, and decision support.
- Design and implement Retrieval-Augmented Generation (RAG) solutions to ground LLM outputs in enterprise data and analytical results.
- Collaborate on Gen AI-enabled analytical applications (e.g., conversational analytics, insight assistants) with a focus on accuracy, relevance, and explainability rather than pure agent orchestration.
- Evaluate and benchmark Gen AI outputs using quantitative and qualitative metrics, ensuring alignment with business and analytical standards.
Enterprise Productionization & MLOps / LLMOps:
- Productionize data science and Gen AI models using enterprise-grade MLOps / LLM

📌 Senior Data Scientist (Pune)
🏢 InfoVision
📍 Pune