Senior Data Scientist, People Analytics & Insights

Citigroup Inc.; Chennai District; On-site; INR 3,000,000 - 5,400,000; Full time

Benefits offered by this job

Hybrid working model

Wellbeing support

Learning resources

Job summary

Citigroup Inc. in Chennai, India is seeking a Senior Data Scientist for the HR Data Science team to turn workforce data into clear, actionable intelligence that shapes people strategies at a global scale.

You will lead end-to-end analytics projects—from data engineering and modelling to stakeholder-ready dashboards—working with high autonomy and mentoring junior team members in a high-impact analytics function within a large financial institution.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• 8–10 years of experience in quantitative roles.
• Expert SQL and Python skills with ability to build data applications.
• Experience with HR or people analytics data is a plus.
• Strong communication of technical concepts to non-technical audiences.

Responsibilities

• Analyse large datasets to evaluate strategies and support data-driven decisions.
• Design and build analytical applications and dashboards for senior stakeholders.
• Extract, transform, and model data using Oracle SQL and Python, including ML and GenAI tooling.
• Document data requirements and cleaning methodologies to ensure reproducibility and compliance.
• Mentor junior team members and lead analytics projects end-to-end.

Skills

Communication skills

Problem solving

Multitasking

Data analytics

Financial services experience

Analytical skills

Education

Bachelor's degree in a quantitative field

Tools

Oracle SQL

Python

LLMs

Job description

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Shape your Career with Citi

Citibank serves as a trusted advisor to our retail, mortgage, small business and wealth management clients at every stage of their financial journey. Through Citi's Access Account, Basic Banking, Citi Priority, Citigold and Citigold Private Client, we offer an array of products, services and digital capabilities to clients across the full spectrum of consumer banking needs worldwide.

We’re currently looking for a high caliber professional to join our team as Senior Data Scientist, People Analytics & Insights based in Chennai, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:

• Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
• We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
• We empower our employees to manage their financial well-being and help them plan for the future.
• Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
• We have a variety of programs that help employees balance their work and life, including generous paid time off packages.
• We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world.

The Specialized Analytics Manager provides full leadership and supervisory responsibility. Provides operational/service leadership and direction to team(s). Applies in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. May contribute to the development of new techniques, models and plans within area of expertise. Excellent communication and diplomacy skills are required. Generally has responsibility for volume, quality, timeliness of end results and shared responsibility for planning and budgets. Work affects an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Full supervisory responsibility, ensuring motivation and development of team through professional leadership to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations as well as direction of daily tasks and responsibilities.

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
• Specialization in marketing, risk, digital and AML fields possible
• 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications

• 5-8 years of experience
• Ability to communicate technical information to both technical and non-technical audiences required
• Problem solving, root cause analysis skills required
• Ability to focus on multiple priorities and drive solutions in a fast paced working environment
• Relevant work experience in data quality, data analytics, data management within the financial services industry required
• Outstanding analytical and problem-solving skills

Education

• Bachelors/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Citi is looking for a Senior Data Scientist to join its HR Data Science team and turn complex workforce data into clear, actionable intelligence that shapes people strategies at a global scale. In this role, you will lead end-to-end analytics projects — from data engineering and statistical modelling through to stakeholder-ready applications and dashboards — working with high autonomy and direct influence on business decisions. Sitting within a high-impact analytics function, you will apply advanced data science methods and AI tooling to solve meaningful problems across a large, internationally operating organisation.

Responsibilities

• Analyse large, complex internal and external datasets to evaluate business strategies and deliver data-driven recommendations that inform key organisational decisions.
• Design and build analytical applications — including interactive dashboards and platforms — that translate analytical findings into intuitive, actionable formats for senior stakeholders and leadership.
• Extract, transform, and model data using Oracle SQL and Python, encompassing statistical and advanced machine learning, usage of LLMs, automation of recurring analyses, and exploratory data analysis.
• Document data requirements, data collection processes, and cleaning methodologies to ensure analytical outputs are reproducible, auditable, and meet compliance standards.
• Apply GenAI tools to manage and progress multiple analytical workstreams simultaneously, maintaining a high degree of accuracy and rigour throughout.
• Scope, drive, and deliver analytics projects independently from initial concept through to final output, with minimal oversight and full ownership of delivery.
• Mentor and coach junior team members, contributing to the analytical capability and professional development of the broader team.

Required Qualifications & Skills

• 8 to 10 years of experience working in a quantitative or data-intensive field, with demonstrated ability to retrieve, manipulate, and model complex datasets.
• Expert-level proficiency in Oracle SQL, Python, experience with building on LLMs for advanced analytics, including data extraction, transformation, statistical modelling, and automation.
• Demonstrated ability to build data applications — such as dashboards or interactive tools — that present analytical results clearly to non-technical audiences.
• Advanced analytical and problem-solving ability, with a track record of delivering innovative, data-driven solutions to complex business questions.
• Experience leveraging GenAI tools to manage multiple concurrent projects while sustaining high analytical accuracy.
• Proven ability to independently lead analytics projects end-to-end, from scoping and methodology through to delivery and stakeholder communication.
• Master's degree in a quantitative discipline, or equivalent professional experience.

Beneficial Skills & Qualifications

• Experience working with HR or people analytics data, with familiarity in workforce metrics and related data structures.
• Background in the financial services or credit card industry, with exposure to quantitative modelling in a regulated environment.
• Experience collaborating with cross-functional teams in a matrixed organisation, with the ability to build effective working relationships across business areas.

What We Offer

At Citi, you will work alongside skilled teams across a global organisation, with the opportunity to own high-visibility work and build lasting professional impact. We offer a working environment where performance is recognised, development is supported, and your contributions have real, measurable outcomes.

• A hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility alongside meaningful team collaboration.
• Direct influence on strategic decisions at a global scale, with high-autonomy project ownership from day one.
• Access to continuous learning and development resources to keep your technical and professional skills at the leading edge of data science.
• Wellbeing support and work-life balance programmes designed to sustain long-term performance and personal effectiveness.
• Competitive financial benefits and a comprehensive rewards package reflective of your experience and contribution at a senior level.
• The opportunity to mentor others and shape the analytical culture of a high-performing team within one of the world's largest financial institutions.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Working at Citi is far more than just a job. A career with us means joining a family of more than 200,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

https://jobs.citi.com/de

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.

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