Data Scientist(Machine Learning)

Data Science, Data Scientist – Analytics & Information Management (AIM), Gurugram Excited to grow your career? We value our talented employees and strive to help associates grow professionally before recruiting new talent. If you think the open position is right for you, we encourage you to apply!

Our people make all the difference in our success. We are seeking a Senior Data Scientist for our Business Analytics Team. The ideal candidate will drive the development and implementation of analytical solutions to support key business objectives for Banking Operations & Analytics as part of COO (Chief Operating Office).

Role & Responsibilities The role will be Data Scientist in the Data Science and Modeling for Banking Operations & Analytics Team, reporting to the AVP/VP leading the team. Incumbents will work with large, complex, and unstructured data using tools such as Python, PySpark, SQL, R, etc. to build modeling solutions for various business requirements. Primary focus areas include model building, model validations, model implementation, and model governance for multiple portfolios.

Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis, including statistical models/algorithms and data visualization techniques. May be referred to as Data Scientists. Collaborate with team members and business partners to jointly build model‑driven solutions using traditional methods (Linear, Logistic, Segmentation, etc.) as well as machine‑learning solutions.

Work with model governance & fair lending teams to ensure compliance of models in accordance with Citi standards. Core Competencies Business Obsession – Create client‑centric analytic solutions to business problems with a holistic view of multiple businesses. Analytic Project Execution – Own and deliver multiple complex analytic projects, translating business context into modeling solutions that create economic value.

Domain Expert – Develop deep expertise in banking operations and analytics, operational risk, and related fields. Modeling and Tech Savvy – Stay current with the latest modeling techniques, machine‑learning and deep‑learning algorithms, sharing knowledge within the team. Statistical Mindset – Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling.

Communication Skills – Translate and articulate technical ideas to a larger audience, including influencing peers and senior management. Strong Project Management Skills Contribute to organizational initiatives, including competency development, training, and organizational building activities. Qualifications 5+ years of experience in data analytics roles with proficiency in SQL, SAS, Python, PySpark, etc.

Technical Skills Sound knowledge of machine‑learning, deep‑learning, and statistical modeling techniques. Experience with ML frameworks and Python libraries such as scikit‑learn, xgboost, Keras, NLTK, BERT, TensorFlow. Hands‑on experience in PySpark/Python/R programming and strong SQL experience.

Experience with large datasets, data warehouses, and pulling data via programming. Strong background in statistical analysis. Experience with Transformers/LLMs (OpenAI, Claude, Gemini, etc.), prompt engineering, RAG architectures, and tools/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain/Graph, LlamaIndex.

Understanding of transformers/language models. Familiarity with vector databases and fine‑tuning techniques. Experience developing and deploying AI solutions in partnership with tech and business teams.

AI/Gen AI proficiency and thought leadership in financial/business analysis and/or credit/risk analysis with the ability to impact key business drivers via disciplined analytics. Education Bachelor's or Master’s degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, Engineering, etc. Time Type: Full time Job Family Group: Decision Management Job Family: Specialized Analytics (Data Science/Computational Statistics) Job Level: C11 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

View Citi’s EEO Policy Statement and the Know Your Rights poster. #J-18808-Ljbffr