Data Science

Citi; New York (NY); Hybrid; USD 11,000 - 22,000; Full time

Job summary

Citi is seeking a Data Science Analyst for a hybrid role based in India. The position involves extracting insights from large datasets, building data requirements, and supporting data-driven business strategies across teams.

The role requires 2+ years of experience (Masters) or 4+ years with a Bachelor’s degree, strong analytical skills, and excellent communication abilities. Collaboration with cross-functional teams is essential.

Qualifications

• 2+ years of experience (Masters).
• 4+ years for Bachelor’s degree holders.
• Ability to retrieve and manipulate data.
• Analytic ability and problem solving skills.
• Working experience in a quantitative field.
• Excellent communication and interpersonal skills.

Responsibilities

• Work with large and complex data sets to evaluate, recommend, and support implementation of business strategies.
• Identify and compile data sets using tools (SQL, Access) to help predict, improve, and measure key business outcomes.
• Document data requirements, collection, processing, cleaning, and exploratory data analysis; may include models and visualizations.
• Potentially referred to as Data Scientists; collaborate across teams to achieve objectives.
• Specialization in marketing, risk, digital and AML fields possible.

Skills

Data analysis

SQL

Problem solving

Communication

Team collaboration

Education

Bachelor's degree

Masters preferred

Tools

Access

Job description

Data Science

Job Req Id:

26978974

Location(s):

Haryana, India

Job Type:

Hybrid

Posted:

Aug. 14, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 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.

Job Overview

The Spec Analytics Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.
Responsibilities:

• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / 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 possible
• 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:

• 2+ years of experience (for Masters)
• 4+ years for Bachelors
• Have the ability to retrieve and manipulation data
• Possess analytic ability and problem solving skills
• Working experience in a quantitative field
• Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
• Ability to build partnerships with cross-functional teams

Education:

• Bachelors/University degree or equivalent experience
• Masters (preferred) in Engineering, Technology, Statistics, Economics or similar quantitative disciplines

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:

Decision Management

Job Family:

Specialized Analytics (Data Science/Computational Statistics)

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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