Citi Group AVP/VP - Data Scientist Gen AI 15Yrs 

India, Maharashtra, Pune 

338337991

Job Description

Responsibilities:

• Performing data extraction, manipulation and processing, explore new data sources and integrate into pipeline
• Effectively using programming languages and tools (e.g., Python, PySpark, SAS, SQL, Excel)
• Normalize data to perform design of experiments; analyze and finalise data in required structure; design appropriate dashboards
• prompt engineering and large language models, Cypher Query, User Stories based few-shot modeling, Ground Truth verification, RAG, Knowledge Graphs, Guardrail models
• Incumbents in this role may often be referred to as Data Scientists
• Clustering and segmentation
• Classification and regression techniques
• Ensemble modelling/advanced machine learning models, Natural Language Processing
• P&L quantification of financial impact of models implemented in the market through CRM efforts
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 8 - 14 years of experience ( We have multiple roles at AVP/VP level )
• Experience in a quantitative field, working hands-on inData Analysis, Statistics, Machine Learning and Feature Engineering
• Must have Demonstrated ability inAI: Gen AI: prompt engineering and large language models,Cypher Query, User Stories based few-shot modelling, Ground Truth verification, RAG, Knowledge Graphs, Guardrail models,Optical Charter Recognition (OCR)/ computer vision, Deep learning and neural networks
• Excellent analytic ability and problem solving skills
• Proficient inMicrosoft Office includingexcellent MS Excel skills and Microsoft Powerpoint to develop analytic presentations
• Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
• Stakeholder Management: Stakeholder mapping; identifying who to engage for responsibilities and actions; Interpersonal ability; building relationships virtually ; Influencing, negotiation, alignment on priorities/incentives and conflict resolution with stakeholders; stakeholder communication
• Project Management: Prioritization; resource planning, timelines management and escalations, governance on projects; project status communications; running steercos; Navigating through constantly evolving timelines and project scope including
• Data Engineering: Manipulating data in a distributed system natively (Hadoop Clusters) as well as on cloud (AWS Clusters). MLOPS platforms like 'MLflow', 'AWS Sagemaker' and 'Vertex AI’. Front end integration: Python frameworks like Streamlit and Flask or R frameworks like R Shiny etc., JavaScript (preferred but not mandatory), bootstrap (preferred but not mandatory) and CSS (preferred but not mandatory)

Education:

• Bachelors/University degree, Master’s degree preferred

Time Type:

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