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Data Science, Assistant Vice President – Analytics & Information Management (AIM), Gurugram. We are seeking a Senior Data Scientist for our Business Analytics Team. The ideal candidate will be responsible for driving the development and implementation of analytical solutions to support key business objectives for Banking Operations & Analytics as part of COO (Chief Operating Office).
Job Responsibility:
Drive the development and implementation of analytical solutions to support key business objectives for Banking Operations & Analytics
Work with large, complex and unstructured data using a variety of tools (Python, PySpark, SQL, R) to build modeling solutions
Primary focus areas would be model building, model validations, model implementation and model governance related responsibilities for multiple portfolios
Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis
Work with other members in the team and business partners to jointly build model driven solutions using traditional methods as well as Machine Learning driven modeling solutions
Work with model governance & fair lending teams to ensure compliance of models in accordance with Citi standards
Requirements:
8+ years of experience in data analytics roles
Proficiency in analytics tools/technologies like SQL, SAS, Python, PySpark
Sound knowledge of machine learning/deep learning and statistical modeling techniques
Experience working with Machine Learning software frameworks and relevant Python libraries (e.g., scikit-learn, xgboost, Keras, NLTK, BERT, TensorFlow)
Hands-on experience in PySpark/Python/R programming along with strong experience in SQL
Experience working with large and multiple datasets, data warehouses
Strong background in Statistical Analysis
Experience working on Transformers/ LLMs (OpenAI, Claude, Gemini), Prompt engineering, RAG based architectures and relevant tools/frameworks (TensorFlow, PyTorch, Hugging Face Transformers, LangChain/Graph, LlamaIndex)
Understanding of transformers/language models
Familiarity with vector databases and fine-tuning techniques
Experience in Developing and Deploying AI solutions in partnership with Tech and Business
AI / Gen AI proficiency and thought leadership in Financial/Business Analysis and/or credit/risk analysis
Business Obsession – Create client centric analytic solution to business problems
Analytic Project Execution – Own and deliver multiple and complex analytic projects
Domain expert in banking operations and analytics, operational risk
Modeling and Tech Savvy
Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling
Communication skills
Strong project management skills
Ability to coach and mentor juniors
Contribute to organizational initiatives
Bachelor's / Master’s degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering