Job Purpose: 

To develop data-driven use cases and provide actionable intelligence using advanced data analytics tools and methodologies to support the organization in achieving digitization goals, strategic and tactical decision-making by acquiring, transforming, and modeling data.

The Job:

• Develop advanced analytics, ML (supervised/unsupervised), AI, and LLM-based (Generative AI) solutions as POCs and production-ready systems using relevant frameworks.

• Conduct exploratory Data Analysis, feature engineering, hypothesis testing, and other statistical techniques to identify important features for modeling.
• Present analytical findings and AI strategies to senior management in a clear, business-focused manner.
• Collaborate closely with MLOps/DevOps teams to productionize models, automate pipelines, and ensure scalability and reliability.
• Provide L3 support for AI/ML/GenAI solutions in production environments.
• Conduct research on emerging AI technologies (LLMs, multi-modal models, AI agents, etc.) and evaluate their applicability to business use cases.
• Prepare AI/analytics roadmaps aligned with business strategy.
• Define model governance frameworks including performance tracking metrics, explainability, and retraining strategies.
• Monitor outcomes and optimize models/business processes with stakeholders.
• Maintain documentation and version control.
• Collect feedback from model output to improve and optimize AI & ML model performance.
• Maintain up-to-date knowledge on new technologies/best practices.
• Groom junior data analysts/intern data scientists.
• Provide on-the-job training sessions to interns.
• Facilitate knowledge sharing and collaboration building.

The Person:

• Bachelor’s Degree in AI/Data Science/ Computer Science/Engineering/ Information Technology/ or a related field.
• 2+ years of experience in Data Science.
• Excellent understanding of machine learning techniques and algorithms.
• Proven hands-on experience with Python (mandatory) and relevant ML/AI libraries (Scikit-learn, TensorFlow, PyTorch, etc.).
• Data visualization and communication skills.
• Hands-on-experience in working with any major cloud provider (AWS, GCP, Azure)
• Good understanding of Gen AI/ Agentic AI technology stack
• Experience in data engineering in different environments (data warehouse/big data/cloud storage).
• Score 70%+ on the Data Scientist entry exam (External hires).
• AFF Data Science (Basic).