Data Scientist - C9 (Bangalore)

** - Work with large and complex data sets using tools like Python, PySpark, SQL, R, etc., to build modeling solutions for various business requirements. - Focus on model building, validations, implementation, and governance for multiple portfolios. - Document data requirements, collection, processing, cleaning, and exploratory data analysis. - Collaborate with team members and business partners to build model-driven solutions using traditional and machine learning methods. - Ensure compliance of models with Citi standards and work with model governance and fair lending teams. - Assess risks in business decisions and drive compliance with applicable laws, rules, and regulations. **Qualification Required:** - Bachelors Degree with 3 years of experience in data analytics, or Masters Degree with 2 years of experience, or PhD. - Hands-on experience in PySpark/Python/R programming and strong skills in SQL. - Understanding of deep learning techniques and experience with machine learning and statistical modeling. - Strong background in Statistical Analysis and experience working with large datasets. - Experience in Credit Cards and Retail Banking preferred. - Education: Bachelor's or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, Engineering, etc., from a premier institute. If you are a bright and talented individual with a passion for data analytics, Citi offers amazing opportunities for you in AIM. Join us and be a part of a global community that creates actionable intelligence for our business leaders to drive revenue growth and innovation. As a Spec Analytics Analyst 1 in the Data Science and Modeling team of North America Consumer Bank at Citi, you will have the opportunity to be a part of the Next Gen Analytics (NGA) team under the Analytics & Information Management (AIM) unit. Your role will focus on the following areas: **Role Expectations:** - **Client Obsession:** Create client-centric analytic solutions to business problems by having a holistic view of multiple businesses. - **Analytic Project Execution:** Own and deliver multiple and complex analytic projects by understanding business context and implementing solutions for economic value. - **Domain Expertise:** Be a domain expert in your subfield and have a holistic view of other business lines to create better solutions. - **Modeling and Tech Savvy:** Stay updated with the latest use cases of modeling, machine learning, and deep learning algorithms and share knowledge within the team. - **Statistical Mindset:** Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling. - **Communication Skills:** Translate technical thoughts and ideas to a larger audience, including influencing skills with peers and senior management. - **Project Management:** Strong project management skills and ability to coach and mentor juniors. **Role

** - Work with large and complex data sets using tools like Python, PySpark, SQL, R, etc., to build modeling solutions for various business requirements. - Focus on model building, validations, implementation, and governance for multiple portfolios. - Document data requirements, collection, processing, cleaning, and exploratory data analysis. - Collaborate with team members and business partners to build model-driven solutions using traditional and machine learning methods. - Ensure compliance of models with Citi standards and work with model governance and fair lending teams. - Assess risks in business decisions and drive compliance with applicable laws, rules, and regulations. **Qualification Required:** - Bachelors Degree w