Data Scientist Opportunity 2025 | Cognizant is hiring Data Scientist. The working location is Bengaluru, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Data Scientist Job Openings At Citi | Bengaluru -Overview
| Company Name: | Cognizant |
| Job Role: | Data Scientist |
| Location: | Bengaluru |
| Work Mode: | On-site |
| Last Date to Apply: | ASAP |
Job Description
- The Business Analytics Analyst 1 is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.
Skills Required:
- Analytical Skills:
- Strong logical reasoning and problem-solving ability
- Proficient in formulating analytical methodology, identifying trends and patterns with data
- Transform data into analytical findings and business insights.
- Has the ability to work hands-on to retrieve and manipulate data from big data environments.
- Tools and Platforms:
- Knowledge in Python, SQL, PySpark, Basic NLP, ML and related tools
- Proficient in MS Excel, PowerPoint
- Good to have: Experience with Tableau or other visualization tools
Responsibilities:
- The role will report to the AVP or the VP leading the team
- The role will involve working on multiple analyses through the year on business problems across the client life cycle β acquisition, engagement, client experience and retention β for the TTS business
- This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts, etc.) to provide data driven insights to business partners and functional stakeholders
