Data Scientist, Citi

Citi

Location:
India, Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Assistant Vice President-Data Scientist role at Citi's Analytics and Information Management (AIM) global community driving data driven transformation across Citi with the objective to create actionable intelligence for business leaders. Working within the Enterprise Risk Management Framework to identify, measure, build, control and report risks while simplifying, streamlining and automating manual controls.

Job Responsibility:

Provide quantitative and qualitative insights on user experience and data sets performance
Work with cross-functional teams and leaders within the organization on modelling for critical business decisions
Identify new opportunities for leveraging data science to improve the operational efficiency of the organization
Assimilate and incorporate business requirements and technical aspects
Assist data architect and data analyst in data gathering techniques and design processes for maintenance of databases, data accuracy and integrity
Ensure high data integrity, choosing the best tools and techniques for algorithms, frameworks, and technologies
Design and develop a new process for data modelling and production, and help businesses create and track their key performance metrics
Partner with other multi-functional teams, such as Engineering, Product Management, and Design, to collaborate on projects
Set goals and metrics and define KPIs to measure and track the improvement of the data analytics process
Analyze the data modelling, revenue generation, and targeting

Requirements:

BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University
Minimum of 7 years of proven working experience in Data Science & ML areas
Solid theoretical and hands-on knowledge of Econometrics, Statistics, Data Mining, Machine Learning & AI concepts
Exceptional programming skills in Data Science scripting (such as Python / R)
Deep Learning concepts & tools (H2O, TensorFlow, PyTorch, Keras, OpenAI and LangChain)
Experience in SQL and interpretation of large databases (via tools such as Hive, Spark)
Exceptional analytical and critical thinking skills with demonstrated ability to think strategically
Ability to communicate results effectively and explain technical methodologies in non-technical audience
Knowledge and experience of all phases of SDLC (including requirements analysis, design, coding, testing, defect management, and deployment)
Good understanding of Banking domain (Wealth, Cards, Deposit, Loans & Insurance etc.)
Knowledge of Finance Regulations, Understanding of Audit Process
Exposure to business intelligence, data warehousing/platform, and data strategy projects
Exceptional communication skills and stakeholder management experiences
Ability to thrive in a dynamic and fast-paced environment

Nice to have:

Experience with Cloud Technologies (MS Azure, GCP, AWS)
Understanding of ML lifecycle and hands-on experience with ML Ops
Agentic AI
Visualization tools (Power BI, Tableau)

Additional Information:

Job Posted:
October 16, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Scientist