Data Scientist (Gen AI)

Early Career

Data Science Analytics & Machine Learning

149+ Applicants

Posted: 7 months ago

2-6 years

Karnataka

Work from Office

Posted: 7 months ago

Applicants: 149+

Job Description

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Job Description

As a Business Analytics Analyst 2 in the Data Science and Modeling team of North America Consumer Bank, you will be responsible for creating client-centric analytic solutions to business problems. You will need to have a holistic view of multiple businesses and develop analytic solutions accordingly. Your role will involve owning and delivering multiple complex analytic projects, understanding the business context, converting business problems into modeling, and implementing solutions to create economic value. It is essential to stay up to date with the latest use cases of modeling community, machine learning, and deep learning algorithms and share knowledge within the team.

You will work with large and complex datasets using tools such as Python, PySpark, SQL, Hive, etc. to build Deep learning/generative AI solutions for various business requirements. Your primary focus areas will include model training/fine-tuning, model validation, model deployment, and model governance related to multiple portfolios. You will be designing, fine-tuning, and implementing LLMs/GenAI applications using techniques like prompt engineering, Retrieval Augmented Generation (RAG), and model fine-tuning. Documenting data requirements, data collection/processing/cleaning, and exploratory data analysis will be part of your responsibilities, including utilizing deep learning/generative AI algorithms and data visualization techniques.
Incumbents in this role may often be referred to as Data Scientists. Specialization in marketing, risk, digital, and AML fields is possible, applying Deep learning & generative AI models to innovate in these domains. You will collaborate with team members and business partners to build model-driven solutions using cutting-edge Generative AI models (e.g., Large Language Models) and also at times, ML/traditional methods (XGBoost, Linear, Logistic, Segmentation, etc.). Ensuring compliance of models in accordance with Citi standards and assessing risks when making business decisions will be crucial.

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If you are a bright and talented individual with a focus on AI and Machine Learning, Citi offers amazing opportunities for you. The role requires a Bachelor's Degree with at least 3 years of experience in data analytics, a Master's Degree with 2 years of experience, or a PhD. Hands-on experience in PySpark/Python/R programming, along with strong experience in SQL, is essential. Experience working on deep learning and generative AI applications, along with familiarity with tools/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, is required. Strong communication skills, stakeholder management, analytical skills, problem-solving skills, and a team player attitude are also important competencies for this role.
You should have a Bachelor's/Master's degree in economics, Statistics, Mathematics, Information Technology, Computer Applications, Engineering, etc. from a premier institute. Experience in Credit Cards and Retail Banking is preferred. This is a full-time position in the Credit Cards, Retail Banking, Financial Services, Banking industry.,

Skills

Data AnalyticsData VisualizationBusiness AnalyticsPythonData AnalysisData ScienceDeep LearningMachine LearningR ProgrammingVisualizationAnalystPrompt EngineeringLarge Language ModelsAnalyticsAiMlSqlData ScientistPyTorchHugging Face TransformersLangChainPySparkLlamaIndexTransformers LLMsStatistical AnalysisPrompt EngineeringGenerative AI ApplicationsR ProgramingPythonSQLRAG Based ArchitecturesTensorFlow

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Important dates & deadlines?

Application Deadline

10 Oct 25, 04:39 PM IST

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