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Data Scientist With Eda, Python, Sql And Business Analysis

3 - 12 years
8 - 30 LPA
10 June 18, 2025
Job Description
Job Type: Full Time Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates Skills: Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel

Cognizant Hiring – Data Scientist (Python + EDA + SQL + Business Analysis)

Position: Data Scientist
Experience: 3 to 12+ years
Location: PAN India (Hybrid/Remote options may vary)
Industry: IT Services & Consulting
Skills: Python, SQL, EDA, Business Analysis, Data Visualization, Predictive Modeling


Job Summary:

Join Cognizant’s data science team and work on strategic analytics solutions that drive key business decisions. As a Data Scientist, you will be responsible for exploratory data analysis (EDA), predictive modeling, and business analytics. The role demands expertise in Python, SQL, and the ability to communicate actionable insights to stakeholders.


Key Responsibilities:

  1. Conduct exploratory data analysis (EDA) to discover patterns, trends, and business-critical insights.

  2. Build and manage dashboards and reports that communicate data clearly to non-technical audiences.

  3. Collaborate with product, engineering, and business teams to gather requirements and translate them into analytical solutions.

  4. Apply statistical modeling and machine learning techniques for business use cases.

  5. Convert business problems into structured analytical models and present findings clearly.

  6. Continuously refine models and approaches based on real-world performance and feedback.


Must-Have Skills:

  1. Strong proficiency in Python (Pandas, NumPy, matplotlib, seaborn, etc.).

  2. Advanced skills in SQL for data extraction, transformation, and reporting.

  3. Demonstrated experience in business analysis and data interpretation.

  4. Practical experience with EDA and feature engineering.

  5. Working knowledge of machine learning algorithms and statistical methods.

  6. Ability to explain complex models and insights in a simple, understandable manner.


Good-to-Have Skills:

  1. Experience with data visualization tools (Power BI, Tableau, matplotlib, Plotly, etc.).

  2. Exposure to Generative AI frameworks and tools (LLMs, LangChain, etc.).

  3. Familiarity with cloud environments like AWS, Azure, or Google Cloud Platform.

  4. Knowledge of CI/CD pipelines and version control (Git/GitHub).


Why Join Cognizant?

  1. Work with industry-leading clients and high-impact projects.

  2. Be part of a global tech community of 300,000+ professionals.

  3. Access to learning platforms, certifications, and career tracks.

  4. Inclusive, innovation-driven, and collaborative culture.

  5. Opportunity to grow in cutting-edge fields like AI, ML, GenAI, and cloud analytics.


About Cognizant

Cognizant (NASDAQ: CTSH) is a leading digital transformation partner for global enterprises. Recognized by Forbes as one of the World’s Best Employers 2024, we help businesses modernize through cloud, AI, data, and agile platforms. Learn more at www.cognizant.com.

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