Machine Learning Analyst-Python and SQL
At a glance
Mid-level Machine Learning Engineering role at Citi. Gurugram Haryana India · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Work with large internal and external datasets to assess business strategies and support their rollout
- Gather data with SQL and other tools to measure and forecast business outcomes
- Document data needs, prepare and clean datasets, then explore them with analysis and visualizations
- Test code in development and UAT, support deployment, and check models running in production
- Review data and results for gaps, explain findings, and recommend changes to policies or processes
What you bring
- Hands-on Python, SQL and machine learning experience is required
- A bachelor’s degree plus at least four years of work experience, or a master’s degree plus five years
- Professional experience in a quantitative field, with analytical and problem-solving ability
Who this fits
This mid-level role suits someone who can combine data analysis with model and code delivery, and work across teams. The position is hybrid in India. CX analytics experience is preferred; credit card exposure is a strong plus.
From the employer
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
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About CITI
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 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.
Analytics and Information Management (AIM)
Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies.
What do we do?
The North America Consumer Bank – Customer Experience (CX) Analytics is a specialized function dedicated to understanding, measuring, and improving the interactions and overall satisfaction of customers across all touchpoints with the bank. In today’s competitive financial services landscape, delivering a seamless and positive customer experience is critical for retention, loyalty, and growth. Citibank leverages CXA to ensure that every customer journey—from opening an account to resolving a dispute—is as smooth and satisfactory as possible. The team collects, analyzes, and interprets customer feedback and interaction data across channels (phone, online, branch, etc.) to identify pain points, trends, and opportunities for service improvement. The team uses these insights to enhance customer satisfaction, streamline processes, and inform business decisions to improve overall customer experience.
Role Description:
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
- 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.
Technical Skills:
- Hands-on Experience in Python, SQL & Machine Learning (ML) is a must.
- Experience with PySpark, Natural Language Processing (NLP), Large Language Models (LLM/Gen AI), and prompt engineering is preferred.
- Writing clean, efficient, and well-documented code according to design specifications and coding standards.
- Utilizing version control systems (e.g., Git) to manage code changes, collaborate with team members, and maintain code history.
- Configuring and maintaining automated build processes (e.g., using Jenkins) to compile code, run unit tests, and create deployable artifacts.
- Ability to execute the code testing in Dev & UAT environments
- Automate deployment pipelines, follow release procedures, verify post-deployment, and troubleshoot production issues, if any.
- Understand dependencies, design/consume APIs, ensure data flow integrity, resolve integration issues, and maintain architectural awareness.
- Capability to validate/maintain deployed models in production
- Candidates with a background in Customer Experience (CX) analytics is preferred.
- Exposure to Credit card business is a strong plus for this position.
- Familiarity with the Software Development Life Cycle (SDLC) is preferred.
- Prior experience of Sprints deployment cycle is preferred.
Qualifications:
- Bachelor’s Degree with atleast 4 years of working experience OR Master’s Degree with 5 years of working experience.
- 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 in Computer Science Engg. / IT is preferred.
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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.------------------------------------------------------
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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