Senior Data Scientist, Citi

Citi

Location:
India, Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Control Automation Data Science Sr Analyst (C11) - DS. Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders.

Job Responsibility:

Use statistical modelling analysis, Machine Learning, Data mining techniques to extract actionable insights from large and complex datasets
Develop model to forecast trends, identify patterns and solve various business challenges
Conduct exploratory data analysis to uncover hidden relationships and opportunities for optimizations
Design, develop, deploy advance algorithms to solve complex business problems
Optimize algorithms for scalability, performance, and accuracy
Stay abreast of the latest advancements in Machine Learning and Artificial Intelligence and continuously improve modelling techniques
Collaborate with Model Risk Management and Data Engineers, business analysts, product managers to define project requirements and deliver solutions
Communicate findings and recommendations to technical and non-technical stakeholders
Act as subject matter expert on Data Science methodology and best practices
Work with Data engineers to ensure availability, quality, and integrity of datasets
Develop and implement Data governance procedures to ensure compliance with regulatory requirements and industry standards

Requirements:

Bachelor's degree in quantitative field (Computer science, engineering, mathematics, machine learning, statistics)
5-8 years of experience in Data science role
Proficiency in programming languages like Python, R, or SAS
Experience in Python and relevant libraries (Numpy, Pandas, Scikit learn etc.)
Coursework related to Machine learning, Deep learning (NLP / OCR) and Programming
At least an introductory understanding of LLMs and prompt engineering
Hands on application experience using common ML frameworks such as TensorFlow, PyTorch, OpenAI and LangChain
Experience with big data platforms (e.g. Hadoop, Spark) and SQL databases
Demonstrated ability to write high quality code, develop Machine Learning models
Excellent verbal and written communication skills
Problem solving and Story telling skills to provide recommendations and generate actionable Business Insights

Nice to have:

Good understanding of Banking domain (Wealth, Cards, Deposit, Loans & Insurance etc.)
Business risk, controls, compliance, and data management
Knowledge of Finance Regulations
Understanding of Audit Process
Should have good communication and inter-personal skills
Mentoring junior members in the team
Ability to thrive in a dynamic and fast-paced environment
Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
Proactive approach in solving problems and eye for details
A strong team player

Additional Information:

Job Posted:
October 10, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Scientist