Machine learning and GEN AI Data Scientist

Overview

Business Analytics Analyst 2 in the North America Consumer Bank Data Science and Modeling team, building machine learning and generative AI solutions that address business problems across customer acquisition, customer management, retention, product development, pricing and digital journeys.

What you'll do

• Work with large and complex datasets using Python, PySpark, SQL, Hive and related tools and frameworks to build deep learning and generative AI solutions.
• Focus on model training/fine-tuning, model validation, model deployment and model governance across multiple portfolios.
• Design, fine-tune and implement LLM/GenAI applications using prompt engineering, Retrieval Augmented Generation (RAG) and model fine-tuning.
• Document data requirements, perform data collection, processing and cleaning, and carry out exploratory data analysis and data visualization.
• Collaborate with team members and business partners to build model-driven solutions using Large Language Models and, at times, ML and traditional methods (XGBoost, Linear, Logistic, Segmentation).
• Work with model governance and fair lending teams to ensure models comply with Citi standards.
• Assess risk appropriately in business decisions and escalate, manage and report control issues with transparency.
• Coach and mentor juniors and contribute to organizational initiatives such as competency development and training.

What you'll need

• Bachelor's Degree with at least 3 years of experience in data analytics, or Master's Degree with 2 years of experience in data analytics, or PhD.
• Hands-on experience in PySpark/Python/R programming along with strong experience in SQL.
• 2-4 years of experience working on deep learning and generative AI applications.
• Experience working on Transformers/LLMs (OpenAI, Claude, Gemini etc.), prompt engineering, RAG based architectures and relevant tools/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex etc.
• Solid understanding of deep learning and transformers/language models.
• Familiarity with vector databases and fine-tuning techniques.
• Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Strong background in statistical analysis.
• Capability to validate and maintain deployed models in production.
• Self-motivated and able to implement innovative solutions at a fast pace.
• Strong communication, multiple stakeholder management, analytical and problem solving skills, and a control-oriented, risk-aware mindset.
• Education: Bachelor's/master's degree in economics, Statistics, Mathematics, Information Technology, Computer Applications, Engineering etc. from a premier institute.

Nice to have

• Experience in Credit Cards and Retail Banking.

Details

• Location: Gurugram, Haryana, India.
• Employment type: Full time.
• Reports to the AVP / VP leading the team.