Citi has announced an opportunity for experienced professionals for the position of Data Science Analyst in Haryana, India. The role is part of the North America Consumer Bank’s Data Science and Modeling team and focuses on developing analytical models, machine learning solutions, and Generative AI applications for banking-related business challenges.
This is a full-time, hybrid opportunity for candidates with a strong background in data analytics, statistical modelling, and programming. Professionals who have worked with Python, PySpark, SQL, machine learning, and large datasets may find this position relevant.
Citi posted the vacancy on 5 November 2026 under Job Requisition ID 261001995. <Cite refs={[“turn802206view0”]}/>
Citi Data Science Analyst Recruitment 2026: Overview
| Particulars | Details |
|---|---|
| Company | Citi |
| Job title | Data Science Analyst |
| Job location | Haryana, India |
| Job type | Full-time |
| Work arrangement | Hybrid |
| Department | Data Science and Modeling |
| Job family | Specialized Analytics |
| Experience | 6–7 years (Bachelor’s) / 4–5 years (Master’s) / PhD |
| Salary | As per company standards; not disclosed |
| Posted date | 5 November 2026 |
| Application deadline | Not specified; check the official portal |
| Job Requisition ID | 261001995 |
| Application mode | Online |
What Is This Recruitment About?
The selected professional will work with Citi’s analytics team to turn complex customer and business data into useful insights. The team supports areas such as customer acquisition, customer retention, pricing, payment optimization, digital banking, marketing, and risk management.
The work goes beyond preparing reports. It involves developing predictive models, building AI-based applications, testing model performance, and helping deploy solutions that address real business requirements.
A key part of the position is Generative AI development. Candidates may work on Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and model fine-tuning.
Eligibility Criteria: Who Can Apply?
Citi lists the following education and experience combinations:
- Bachelor’s degree: 6–7 years of experience in data analytics.
- Master’s degree: 4–5 years of experience in data analytics.
- PhD: PhD holders are also eligible as stated in the listing; confirm any role-specific experience expectations with Citi.
Relevant academic backgrounds include Engineering, Economics, Statistics, Mathematics, Information Technology, and Computer Applications.
Applicants should have practical experience with Python, PySpark or R, strong SQL skills, statistical analysis, and machine learning. The listing also expects experience working with large datasets and the ability to validate or maintain models in production. Experience in credit cards and retail banking is preferred, not listed as a mandatory qualification. <Cite refs={[“turn802206view0”]}/>
Key Skills Required
Candidates should be familiar with:
- Python, PySpark, R, SQL, and Apache Hive.
- Machine learning, deep learning, and predictive modelling.
- XGBoost, linear regression, logistic regression, and segmentation.
- Generative AI, LLMs, prompt engineering, and RAG.
- Data cleaning, exploratory data analysis, and feature engineering.
- Model validation, deployment, monitoring, and governance.
- Statistical analysis, hypothesis testing, and data visualization.
Good communication is important too. The role involves explaining technical findings to business partners and senior stakeholders.
Roles and Responsibilities
The Data Science Analyst will work with large datasets and build analytical solutions using programming and big-data tools. Responsibilities include collecting and cleaning data, conducting exploratory analysis, developing predictive models, and evaluating their performance.
The role also involves designing and fine-tuning LLM and Generative AI applications, supporting model deployment, and maintaining appropriate documentation. The selected candidate will collaborate with business teams and model governance specialists to ensure solutions follow Citi’s internal standards and fair lending requirements.
Depending on project needs, the work may support customer management, marketing, digital banking, risk, and anti-money laundering (AML) initiatives.
Salary and Selection Process
Salary: Citi has not published a confirmed salary figure for this vacancy. Compensation will be based on the company’s applicable role and hiring terms. Applicants should confirm the package directly with the recruitment team.
Selection process: The official listing does not specify every interview stage. Shortlisted applicants should follow the instructions shared by Citi. Technical discussions, experience-based interviews, or other assessments may form part of the process, but candidates should not assume a fixed sequence.
Documents to Prepare
Keep an updated résumé, degree certificates, academic records, and relevant employment details ready. Your résumé should clearly describe your data science projects, programming experience, machine learning work, and model deployment contributions. Include measurable project outcomes where possible.
How to Apply for Citi Data Science Analyst 2026
- Visit the official Citi Careers vacancy page.
- Review the eligibility requirements and job responsibilities.
- Confirm that the application option is still available.
- Select Apply and follow the careers portal instructions.
- Enter your personal, educational, and professional details accurately.
- Upload your résumé and submit the application.
- Monitor your registered email for recruitment updates.
Important Dates
- Job posted: 5 November 2026.
- Application deadline: No fixed closing date is specified in the official listing.
- Application status: Check the official portal before applying, as vacancies can close without a separately announced deadline.
About Citi
Citi is a global financial services organization operating across banking, credit cards, financial markets, and other financial services. Its Analytics and Information Management (AIM) teams use data and analytical methods to support business decisions and identify opportunities.
For this position, the North America Consumer Bank’s Data Science and Modeling team works with large volumes of customer and transaction data to develop predictive and AI-driven solutions.
Final Words
The Citi Data Science Analyst vacancy may interest experienced professionals who combine strong programming skills with practical machine learning and statistical modelling experience. It is particularly relevant to candidates interested in applying data science and Generative AI to banking and financial services.
Review the experience requirements carefully before applying. Use the official Citi Careers page for the latest recruitment information.
Source: Official Citi Careers job listing
Last verified: 6 November 2026
Updated date: 6 November 2026
Article reviewed by: Karthik Patel
Recruitment status: Listed on the official careers portal with an Apply option when checked; recheck before submitting
Official recruitment website: Citi Careers – Data Science Analyst, Job ID 261001995
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Frequently asked questions
1. What is the qualification required for Citi Data Science Analyst Recruitment 2026?
Citi lists a bachelor’s degree with 6–7 years of data analytics experience, a master’s degree with 4–5 years of experience, or a PhD. Relevant disciplines include Engineering, Economics, Statistics, Mathematics, IT, and Computer Applications.
2. How many years of experience are required for this Citi job?
The listed experience requirement is 6–7 years for bachelor’s degree holders and 4–5 years for master’s degree holders. PhD holders are also included in the eligibility information.
3. What technical skills are required for the Data Science Analyst position?
Candidates should have experience with Python, PySpark or R, SQL, statistical analysis, machine learning, and large datasets. Knowledge of Generative AI, LLMs, RAG, and model deployment is also relevant.
4. What is the salary for Citi Data Science Analyst in Haryana?
Citi has not disclosed a specific salary in the vacancy information reviewed. Applicants should confirm the compensation details during the official recruitment process.
5. How can I apply for Citi Data Science Analyst Recruitment 2026?
Visit the official Citi Careers application page, check the current vacancy status, and complete the online application if the Apply option remains available.
