HSBC Hiring Data Science Analyst Apprentice in Mumbai | 2026

Data Science Analyst

The role focuses on delivering end-to-end analytics and machine learning projects that support business objectives within HSBC’s Wealth and Personal Banking (WPB) domain. The position collaborates with senior leadership to identify immediate priorities and anticipate future needs across analytics, machine learning, business intelligence, campaigns, and data initiatives.

The analyst contributes to prioritized analytics projects, assists with trigger engine activities, and supports ad-hoc requests from senior management, regional, and group stakeholders. The role aims to provide actionable insights through modelling, product analytics, network analysis, and business evaluation.

Key Responsibilities

• Support the design, development, and deployment of data science solutions aligned with WPB business goals, under guidance from senior team members.
• Assist in building, validating, and maintaining machine learning models while learning best practices for model lifecycle management.
• Work with business stakeholders to understand requirements and translate them into analytical solutions with mentorship from experienced colleagues.
• Participate in project activities including data extraction, cleaning, and initial analysis, gradually developing the capability to manage projects independently.
• Collaborate with cross-functional teams across business, technology, and operations to ensure project alignment and timely milestone delivery.
• Prepare and present insights and recommendations using Excel and PowerPoint for both technical and non-technical audiences.
• Apply foundational statistical and analytical techniques to address business challenges while gaining exposure to more advanced methods.
• Use tools such as SQL, Python, and SAS for data manipulation and analysis, with training and support provided as required.
• Gain exposure to cloud platforms such as Google Cloud Platform for scalable data processing and model deployment.
• Stay informed about emerging developments in data science, machine learning, and generative AI, and look for opportunities to apply new techniques.
• Follow HSBC’s data governance, privacy, and compliance standards while contributing to a culture of continuous learning and upskilling.

Qualifications

• Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Economics, or a related field.
• Academic exposure to data analysis, statistics, or machine learning through coursework, projects, internships, or certifications.
• Basic familiarity with programming languages including Python, SQL, or SAS, along with willingness to further develop technical skills.
• Working knowledge of Excel and PowerPoint for analysis and presentation tasks.
• Exposure to data visualization tools like Tableau or Power BI, or cloud platforms such as Google Cloud Platform, is considered beneficial.
• Interest in generative AI technologies and applications is desirable.

Apprenticeship Details

The apprenticeship tenure is one year under the Apprentices Act, 1961 and related rules. Apprentices will be registered on the NATS portal, and a candidate profile will be created for reference during the program.

Upon successful completion of the one-year apprenticeship period, the Government of India may issue a Certificate of Proficiency as applicable under the Act.