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Senior Python Data Science Jobs in Stamford, CT (NOW HIRING)

You will serve as a senior advisor to clients and internal stakeholders, delivering scalable ... Advanced proficiency in Python, SQL, R, and other relevant analytics and data science technologies.

You will serve as a senior advisor to clients and internal stakeholders, delivering scalable ... Advanced proficiency in Python, SQL, R, and other relevant analytics and data science technologies.

Overall 10+ years of experience with data science, credit risk management experience is a definite plus * 2-4 years of credit risk modeling experience * 2+ years of experience with Python programming

The SVP, Marketing Data Science is a highly experienced and senior role, and part of the larger ... such as Python and R, and experience with relevant data science libraries and frameworks.

The VP, Marketing Data Science is a highly experienced and senior role, and part of the larger ... such as Python and R, and experience with relevant data science libraries and frameworks.

Senior Data Scientist

New York, NY · On-site

$181K - $211K/yr

Python (Pandas, NumPy, Scikit-learn), IBM watsonx Suite, SQL, Data Pipeline Tools, Machine Learning ... Master's degree or equivalent in Computer Science, Data Science, Statistics, Mathematics ...

Design and deliver end-to-end solutions for defined data science problems, combining classical ... Strong hands-on proficiency in Python for data analysis, modelling (PyTorch, TensorFlow, or JAX ...

Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP ... Mastery of advanced Python and SQL for large-scale data manipulation, analysis, and architectural ...

Python Developer/Data Engineer

New York, NY · On-site

$55 - $75.75/hr

Data Science and DevOps areas. Our Expert program offers experienced professionals access to top ... Proficiency in Python, with a strong understanding of object-oriented programming principles.

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Hands-on programming language skills (SQL, Python, R, etc) * Experienced in machine learning ...

Showing results 21-40

Senior Python Data Science information

See Stamford, CT salary details

$58.6K

$151.4K

$207.9K

How much do senior python data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior python data science in Stamford, CT is $151,385.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,600.00 and $174,300.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

What are popular job titles related to Senior Python Data Science jobs in Stamford, CT?

For Senior Python Data Science jobs in Stamford, CT, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Science jobs in Stamford, CT look for?

The top searched job categories for Senior Python Data Science jobs in Stamford, CT are:

What cities near Stamford, CT are hiring for Senior Python Data Science jobs?

Cities near Stamford, CT with the most Senior Python Data Science job openings:

Infographic showing various Senior Python Data Science job openings in Stamford, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $151,385 per year, or $72.8 per hour.

Senior Python Developer - Quant Models AI Automation - Vice President

New York, NY • On-site

Citi
Banking and Credit Intermediation • 5 - 10K employees

$142K - $213K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Key responsibilities

  • Design, develop, and maintain Python-based services, pipelines, and tools supporting automation of the quantitative model lifecycle.

  • Build and operate automated testing and validation frameworks for quantitative models, including test orchestration, result capture, benchmarking, and reporting.

  • Implement AI/ML components within the model workflow, including automation for model documentation, data quality checks, and workflow assistance.


Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

39th of 176 rated banks


Job description

We are seeking a Senior Python Developer within Risk Technology to join a multi-year strategic initiative: the design and delivery of AI-enabled automation across the end-to-end quantitative model lifecycle, covering all market risk and credit risk models. This is a hands-on engineering role at the core of the program. You will design and build the tooling and services that power AI-assisted model documentation, automated model testing and validation workflows, large-scale risk data analysis, and model lifecycle management.

You will work closely with quantitative analysts, model validators, data engineers, and the program leadership to translate workflow automation requirements into robust, production-grade solutions. Key Responsibilities: Engineering & Delivery: Design, develop, and maintain Python-based services, pipelines, and tools supporting automation of the quantitative model lifecycle across market risk and credit risk model families. Build and operate automated testing and validation frameworks for quantitative models, including test orchestration, result capture, benchmarking, and reporting.

Develop data analysis and reconciliation tooling over large-scale risk datasets, ensuring data quality, lineage, and traceability across risk platforms. Contribute to model lifecycle management tooling: model inventory, workflow orchestration, approvals, periodic reviews, and audit-ready evidence generation. AI Enablement: Implement AI/ML components within the model workflow, including LLM-based automation for model documentation generation and updating, intelligent data quality checks, and workflow assistance.

Integrate AI tooling into a controlled, auditable, production-grade environment, with appropriate testing, monitoring, and governance controls. Stay current with developments in applied AI/ML and evaluate their applicability to risk technology use cases. Collaboration & Standards: Work within a cross-functional agile team alongside quants, validators, data engineers, and program management.

Promote engineering best practices: code quality, testing, CI/CD, documentation, and secure, scalable design. Mentor junior developers and contribute to technical design reviews. Required Qualifications: 7+ years of professional software development experience, with deep expertise in Python and its data/engineering ecosystem (e.g., pandas, NumPy, FastAPI, orchestration tools)

Proven track record of delivering production-grade automation, data pipelines, or testing frameworks in a complex enterprise environment; financial services experience strongly preferred. Solid AI/ML knowledge, including practical experience with machine learning libraries and/or LLM-based application development (e.g., API integration, prompt engineering, RAG-style document workflows). Strong experience with test automation, CI/CD, and modern software engineering practices (Git, code review, containerization)

Experience working with large datasets, data quality/linearity checks, and SQL; familiarity with enterprise data platforms. Ability to work effectively in a cross-functional, global team and communicate technical concepts to non-technical stakeholders Preferred Qualifications: Exposure to quantitative risk models (market risk and/or credit risk) and the model lifecycle: development, validation, documentation, and ongoing monitoring. Familiarity with the model risk regulatory landscape and governance expectations in banking.

Experience with workflow orchestration platforms, cloud environments (AWS/Google Cloud), and container orchestration (Docker/Kubernetes). Background in quantitative finance, statistics, or data science; an advanced quantitative degree is a plus. Experience mentoring engineers and leading small technical workstreams.

Education STEM degree (Computer Science, Engineering, Mathematics, Statistics, Physics, or related); Master's degree preferred. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: New York New York 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: Sep 08, 2026 ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening.

Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making.

Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents - AI Notice and Right ------------------------------------------------------ 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.


What Citibank employees say

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Benefits

Hours and flexibility

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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