Assistant Vice President - Data Science
Citi
Assistant Vice President - Data Science at Citi is a full time role based in Bangalore Karnataka India, India. It was published on 6 July 2026 and was open at last check.
| Role | Assistant Vice President - Data Science |
|---|---|
| Company | Citi |
| Location | Bangalore Karnataka India, India |
| Employment type | Full Time |
| Published | 6 July 2026 |
| Status | Open at last check |
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.
Citi Analytics and Information Management (AIM)
Citi AIM was established in 2003 and is located across multiple cities in India – Bengaluru, Chennai, Gurugram and Pune. 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 US Consumer Cards (USCC) – Digital Sales & Marketing Team is a specialized function dedicated to understanding, measuring, and improving the servicing and marketing experience across all digital platforms. We are a dynamic and data-driven team focused on accelerating digital growth, enhancing customer engagement, and driving operational efficiency. By leveraging cutting-edge analytics and Gen-AI, we identify and act on opportunities to increase digital marketing engagement and revenue. We foster a culture of continuous learning and rapid experimentation to deliver impactful digital experiences that resonate with our customers. Our mission is to leverage data and insights to make our digital platforms the preferred channels for our customers, ultimately driving revenue and efficiency.
Role Description:
The Specialized Analytics Sr Anlst will identify opportunities to leverage specialized knowledge in machine learning, statistical modeling, and data analysis to improve business outcomes, automate processes, and generate actionable insights. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization.
We are seeking an experienced analytics candidate who should be able to perform below behaviors in their day-to-day role:
- Create best in class solutions – Design and implement stable best in class solutions using the recommended tools. Prove and improve the performance of the solution.
- Communication skills – Ability to extract and understand business need from partners. Translate and articulate technical design and performance to a senior business audience
- Strategic acumen – Should possess ability to see the big picture of business, identify and understand emerging trends, challenge status quo and design goals for growth
- Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling.
- Risk Assessment: Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations
Technical Skills:
- Hands-on Experience in Python, SQL & Machine Learning (ML) is a must. Experience with PySpark is preferred.
- Writing clean, efficient, and well-documented code according to design specifications and coding standards.
- Knowledge of digital marketing and Credit Card business, and industry best practices is highly beneficial.
- Ability to guide and mentor the junior team members. Ability to build partnerships with cross-functional teams.
Qualifications:
- 7+ years of relevant experience in data science, machine learning, or a related field.
- Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers.
- Must Have Other Skills: Strong Logical Reasoning Capabilities, Willingness to learn new skills, Excellent communication and interpersonal skills
- Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
- Hands-on experience working with large, complex, unstructured datasets, data warehouses and ability to pull data using relevant programs and coding
- Experience in working Credit Cards, Services, Banking & Markets Financial Services be nice to have
- Experience building GenAI solutions using LLMs and vector databases will be preferred.
Preferred Qualifications
- Experience in Big Data, Cloud, Spark, Hive.
- Credit card Business and P&L experience would be preferred.
- Knowledge of Adobe, Test & Learn and other web analytics tools.
Education:
- Bachelor's/University degree or equivalent experience in a quantitative field such as computer science, statistics, mathematics, or engineering. Master's degree preferred.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Few notables among the multiple areas that we work in –
- Drive Digital Marketing, Product Sales & Engagement by analyzing user behavior and campaign performance to identify new opportunities for engagement and revenue generation.
- Develop and execute sophisticated digital marketing strategies to significantly grow digital product sales and increase customer footfall and stickiness on our platforms.
- Lead the industrialization and enhancement of our "Test & Learn" capability, enabling the rapid design, execution, and measurement of experiments for new digital features and marketing campaigns.
- Use analytical intelligence to uncover deep insights that inform strategies for reducing our cost-to-serve and improving overall efficiency across the customer lifecycle.
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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.
Create your free OnJob profile to apply — we'll take you to Citi's application after sign-up. · Posted 6 Jul 2026.
Assistant Vice President - Data Science at Citi — questions answered
What does the Assistant Vice President - Data Science role at Citi pay?
Citi does not publish a salary on this Assistant Vice President - Data Science listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Assistant Vice President - Data Science role at Citi based?
Citi lists this Assistant Vice President - Data Science role in Bangalore Karnataka India, India, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Citi before you apply.
Is the Assistant Vice President - Data Science role at Citi still open?
The Assistant Vice President - Data Science posting at Citi was open at OnJob's last check of the employer's careers page, having been published on 6 July 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
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