Data Science Senior Lead Analyst
Citigroup View all jobs
- Pune, Maharashtra
- Permanent
- Full-time
- Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
- Mines and analyzes data from various banking platforms to drive optimization and improve data quality
- Deliver analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
- Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
- Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions
- Leads system change process from requirements through implementation; provides user and operational support of application to business users
- Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
- Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams
- Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts
- Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
- Performs other duties and functions as assigned
- 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.
- 15+ years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles.
- Advanced proficiency in SQL and relational database concepts.
- Strong programming experience in Python (required); PySpark preferred.
- Hands-on experience building and deploying machine learning models (supervised and unsupervised).
- Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Strong knowledge of statistical modeling, feature engineering, and model validation techniques.
- Experience with BI tools such as Tableau or Power BI.
- Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred.
- Experience working with large-scale enterprise or financial datasets.
- Understanding of data warehousing, ETL, and big data ecosystems.
- Strong problem-solving, analytical thinking, and stakeholder management skills.
- Proven ability to communicate complex AI/ML insights to non-technical audiences.
- Experience in banking or financial services preferred.
- Education:
- Bachelor’s/University degree or equivalent experience, potentially Masters degree
- Master’s degree or specialization in AI/ML/Data Science preferred.
- Bachelor’s/University degree or equivalent experience, potentially Masters degree
- Master’s degree or specialization in AI/ML/Data Science preferred.