HSBC is hiring for the position of Data Science Analyst in Mumbai, India. Candidates with a Bachelor’s/ Master’s degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | HSBC |
| Position | Data Science Analyst |
| Qualifications | Bachelor’s/ Master’s degree |
| Experience | Freshers/ Experienced |
| Location | Mumbai, India |
Key Responsibilities:
- Support the design, development, and deployment of data science solutions to help achieve IWPB business objectives under the guidance of senior team members.
- Assist in building, validating, and maintaining machine learning models while learning best practices for model lifecycle management.
- Collaborate with business stakeholders to understand requirements and help translate them into analytical solutions with mentorship from experienced team members.
- Participate in project activities such as data extraction, data cleaning, and basic analysis, progressively developing the capability to manage tasks independently.
- Work closely with cross-functional teams, including business, technology, and operations, to ensure alignment and timely delivery of project milestones.
- Prepare and present insights, findings, and recommendations to both technical and non-technical audiences using Microsoft Excel and Microsoft PowerPoint, incorporating feedback from team members.
- Apply foundational analytics and statistical techniques to solve business problems, while gaining exposure to more advanced methodologies.
- Utilize tools and programming languages such as SQL, Python, and SAS for data manipulation and analysis, with training support as required.
- Gain exposure to cloud platforms such as Google Cloud Platform for scalable data processing and model deployment.
- Stay updated with the latest trends in data science, machine learning, and generative AI, and proactively seek opportunities to learn and apply new techniques.
- Contribute to fostering a culture of continuous learning and upskilling within the team.
- Ensure all work complies with HSBC’s data governance, privacy, and regulatory standards.
Eligibility Criteria:
- Bachelor’s or Master’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, or a related discipline.
- Academic exposure to data analysis, statistics, or machine learning through coursework, projects, internships, or certifications.
- Basic knowledge of programming languages such as Python, SQL, or SAS, along with a willingness to continuously learn and enhance technical skills.
- Familiarity with tools such as Microsoft Excel and Microsoft PowerPoint for data analysis and presentations.
- Strong analytical and problem-solving skills, with the ability to interpret data and derive meaningful insights.
- Effective communication skills, with the ability to explain technical concepts in a clear and simple manner to diverse audiences.
- Ability to work collaboratively in a team environment and contribute effectively toward achieving shared objectives.
- Demonstrated enthusiasm for continuous learning and professional development.
- Interest in the banking and financial services domain will be considered an advantage.
- Exposure to data visualization tools such as Tableau or Microsoft Power BI, or cloud platforms like Google Cloud Platform, will be an added advantage but is not mandatory.
- Keen interest in generative AI and related technologies is desirable.
About Company:
We’re a financial services organisation that serves more than 40 million customers, ranging from individual savers and investors to some of the world’s biggest companies and governments. Our network covers 63 countries and territories, and we’re here to use our unique expertise, capabilities, breadth and perspectives to open up a world of opportunity for our customers.
How To Apply?
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
- To be redirected to the official website, click on the apply link.
- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
