Machine learning and GEN AI Data Scientist

Overview

Spec Analytics Analyst 2 in the North America Consumer Bank Data Science and Modeling team, building machine learning and generative AI solutions for business problems. Reports to the AVP / VP leading the team.

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.
• Apply deep learning and generative AI models to marketing, risk, digital and AML domains where relevant.
• Collaborate with team members and business partners to build model-driven solutions using Large Language Models and, at times, ML/traditional methods (XGBoost, Linear, Logistic, Segmentation).
• Work with model governance and fair lending teams to ensure models comply with Citi standards.
• Assess risk appropriately when making business decisions, drive compliance with applicable laws, rules and regulations, and escalate and report control issues with transparency.

What you'll need

• Bachelor's Degree with 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.
• 2-5 years of experience working with machine learning and statistical modeling techniques.
• Understanding of deep learning 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.
• Experience in machine learning software frameworks.
• Strong communication skills, including excellent written and oral communication.
• Multiple stakeholder management and ability to build partnerships with cross-function leaders.
• Strong analytical and problem-solving skills.
• Strong team player with a control-oriented and risk-aware approach.
• Working experience in a quantitative field.
• Willing to learn with a can-do attitude.
• 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.
• Industry: Credit Cards, Retail Banking, Financial Services, Banking.