Senior Data Scientist, People Analytics – Insights

Citi

. Analyse large, complex internal and external datasets to evaluate business strategies and deliver data-driven recommendations .

Posted 10/6/2026full-timeMumbai • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expert-level proficiency in Oracle SQL and Python for data extraction, transformation, and modeling, while leveraging advanced analytical techniques and GenAI tools to deliver impactful data-driven insights. Capable of independently leading analytics projects and mentoring junior team members in a fast-paced, compliance-focused environment.

Highest-signal resume keywords

Oracle SQL ExpertisePython ProgrammingAdvanced Machine LearningGenAI Tool UtilizationData Application Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ExtractionData TransformationStatistical ModellingExploratory Data AnalysisData Quality ManagementRisk AssessmentPerformance EvaluationData ManagementAutomation TechniquesDashboard Development

Soft Skills

Analytical Problem-SolvingMentoringCommunication SkillsCollaborationLeadership

Certifications & Qualifications

Master's Degree in Quantitative Discipline

Industry Keywords

Financial ServicesCredit Card IndustryHR AnalyticsData-Intensive FieldMatrixed Organisation

Tech Stack

Tools & technologies

OraclePythonSQL

About the role

Key responsibilities & impact

Analyse large, complex internal and external datasets to evaluate business strategies and deliver data-driven recommendations
Design and build analytical applications, including interactive dashboards and platforms, for senior stakeholders and leadership
Extract, transform and model data using Oracle SQL and Python
Apply statistical modelling, advanced machine learning, LLMs, automation and exploratory data analysis
Document data requirements, collection processes and cleaning methodologies
Apply GenAI tools across multiple analytical workstreams
Scope, drive and deliver analytics projects independently from concept through final output
Mentor and coach junior team members
Assess and manage risk, maintain compliance and safeguard Citi, its clients and assets
Provide leadership and supervisory responsibility, including performance evaluation, compensation, hiring, discipline, terminations and daily task direction

Requirements

What you’ll need

8 to 10 years of experience working in a quantitative or data-intensive field
Expert-level proficiency in Oracle SQL and Python
Experience building on LLMs for advanced analytics, including data extraction, transformation, statistical modelling and automation
Ability to retrieve, manipulate and model complex datasets
Ability to build data applications such as dashboards or interactive tools for non-technical audiences
Advanced analytical and problem-solving ability
Experience leveraging GenAI tools to manage multiple concurrent projects while sustaining analytical accuracy
Ability to independently lead analytics projects end-to-end
Master's degree in a quantitative discipline, or equivalent professional experience
Experience working with HR or people analytics data is beneficial
Background in financial services or the credit card industry is beneficial
Experience collaborating with cross-functional teams in a matrixed organisation is beneficial
Ability to communicate technical information to technical and non-technical audiences
Problem-solving and root cause analysis skills
Relevant experience in data quality, data analytics and data management within financial services
Ability to focus on multiple priorities and drive solutions in a fast-paced environment

Benefits

Comp & perks

Extensive on-the-job training and traditional learning opportunities
Access to senior leaders
Volunteerism opportunities
Telehealth options, health advocates, confidential counseling and other physical and mental well-being programs
Expanded paid parental leave policy
Financial well-being resources and planning support
Learning and development resources
Generous paid time off packages
Resources and tools to volunteer in local communities
Hybrid working model with 3 days in the office and 2 days working remotely
Continuous learning and development resources
Wellbeing support and work-life balance programmes
Competitive financial benefits and comprehensive rewards package
Opportunity to mentor others and shape the analytical culture