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Data Scientist Citi Jobs (NOW HIRING)

Citigroup Inc.

VP Marketing Data Science

Manhattan, NY · On-site

$140 - $180/hr

Overview The VP, Marketing Data Science is a highly experienced and senior role, part of the larger ... Benefits Citi offers competitive benefits including medical, dental and vision coverage; 401(k) ...

UAB NOVA RENT

DATA SCIENTIST ASSOCIATE

Birmingham, AL · On-site

$77K - $126K/yr

Data Scientist Associate University of Alabama at Birmingham The position leads the administration ... Required CITI training in human subjects research * HIPPA training (UAB and general) Salary Range ...

UAB

DATA SCIENTIST ASSOCIATE

Tampa, FL · On-site

$77K - $126K/yr

Data Scientist Associate University of Alabama at Birmingham The position leads the administration ... Required CITI training in human subjects research * HIPPA training (UAB and general) Salary Range ...

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Data Scientist Citi information

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$122.7K

$196.5K

How much do data scientist citi jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data scientist citi in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a data scientist at Citi do?

A Data Scientist at Citi works with large datasets to uncover insights and build predictive models that help the bank make data-driven decisions. Their responsibilities include analyzing financial data, developing algorithms, and collaborating with business units to solve complex problems. They use tools such as Python, SQL, and machine learning libraries to clean data, create visualizations, and automate processes that improve efficiency and risk management. Data Scientists at Citi often work on projects related to fraud detection, customer analytics, and optimizing banking operations.

How do data scientists at Citi typically collaborate with cross-functional teams to deliver business solutions?

At Citi, Data Scientists work closely with stakeholders from various departments, such as risk management, compliance, marketing, and technology. Collaboration often involves gathering business requirements, communicating analytical findings to non-technical team members, and working alongside data engineers and business analysts to deploy data-driven solutions. Regular meetings and agile project management practices help ensure alignment with business goals and timely delivery of projects. This collaborative environment not only enhances the impact of data science initiatives but also provides valuable opportunities to learn from domain experts across the organization.

What is the difference between Data Scientist Citi vs Data Analyst Citi?

AspectData Scientist CitiData Analyst Citi
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often some experience with machine learningBachelor's in Statistics, Mathematics, or related fields; focus on data interpretation
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData reporting, visualization, basic analysis
Employer & Industry UsageFinancial services, banking, investment firmsFinancial institutions, banking, corporate finance

Data Scientist Citi typically handles complex modeling and predictive analytics, requiring advanced skills and education. Data Analysts focus on interpreting data, creating reports, and supporting decision-making with descriptive analytics. Both roles are vital in the banking industry but differ in scope and technical depth.

What are the key skills and qualifications needed to thrive as a data scientist at Citi?

To thrive as a Data Scientist at Citi, you need strong quantitative and analytical skills, experience in statistical modeling, and a background in computer science, mathematics, or a related field. Familiarity with programming languages such as Python or R, data visualization tools, and experience with machine learning frameworks and big data platforms is typically required, along with relevant certifications being a plus. Excellent problem-solving abilities, effective communication, and the capacity to work collaboratively in cross-functional teams are crucial soft skills. These qualifications and skills enable Data Scientists to derive actionable insights from large datasets, support strategic decision-making, and drive innovation in a financial services environment.
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Data Scientist Citi jobs near you
Infographic showing various Data Scientist Citi job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Sr. Data Scientist - Vice President

Citigroup, Inc.

Jersey City, NJ • On-site

$142K - $213K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks

Job description

Job Summary
The Sr. Data Scientist is responsible for establishing and implementing new or revised data science and machine learning application systems in coordination with the Technology team. The overall objective of this role is to lead the applications systems analysis, advanced model development, and programming activities for our data science initiatives.
Responsibilities
  • Strategic Partnership: Partner with multiple management teams to ensure appropriate integration of data science functions to meet goals. Identify and define necessary system enhancements to deploy new data products and process improvements, with a focus on leveraging machine learning.
  • Problem Resolution: Resolve a variety of high-impact problems and projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying advanced statistical analysis and machine learning modeling techniques.
  • Technical Leadership & Expertise: Provide subject matter expertise in data science and advanced knowledge of AI/ML applications. Ensure application design adheres to the overall architecture blueprint. Key areas of focus include:
    • Developing complex machine learning models using the Python AI/ML stack.
    • Designing and implementing solutions for anomaly detection, noun entity recognition (NER), and rule-based compliance policies.
    • Building and deploying Agentic AI solutions using Large Language Models (LLMs).
  • ML Lifecycle Management: Utilize advanced knowledge of the machine learning model lifecycle to develop and enforce standards for coding, testing, debugging, and implementation of scalable, production-grade models.
  • Business Integration: Develop a comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals and to ensure the effective deployment of data science capabilities.
  • Innovation & Solutioning: Provide in-depth analysis with interpretive thinking to define complex business issues and develop innovative, data-driven solutions and machine learning models.
  • Mentorship: Serve as an advisor or coach to mid-level data scientists and analysts, allocating work as necessary and fostering a culture of technical excellence.
  • Risk Management: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets. This includes driving compliance with applicable laws, rules, and regulations related to data and AI, adhering to Policy, applying sound ethical judgment, and escalating, managing, and reporting control issues with transparency.

Recommended Qualifications
  • Experience: 6-10 years of relevant experience in a Data Science, Machine Learning, or a related Applications Development role with a strong focus on quantitative analysis.
  • Technical Proficiency: Extensive experience in statistical analysis, machine learning model development, and programming of software applications, specifically with the Python AI/ML stack (e.g., Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch).
  • Project Implementation: Proven experience in managing and implementing successful data science projects from conception to production.
  • Subject Matter Expertise: Recognized Subject Matter Expert (SME) in applied machine learning, with deep knowledge in one or more of the following:
    • Anomaly Detection
    • Natural Language Processing (NLP), particularly Noun Entity Recognition (NER)
    • Agentic AI using Large Language Models (LLMs)
    • Rule-based systems for compliance and policy implementation
  • Preferred Skills: Familiarity with the SAS programming language and/or Java-based microservices architecture is a plus.
  • Adaptability: Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.
  • Leadership: Demonstrated leadership and project management skills.
  • Communication: Consistently demonstrates clear and concise written and verbal communication, with the ability to convey complex technical concepts to diverse audiences.

Education
  • Required: Bachelor's degree/University degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering, or equivalent experience.
  • Preferred: Master's degree or Ph.D. in a relevant quantitative discipline is highly preferred.

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Jersey City New Jersey United States
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jun 17, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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