Cognizant entry level data science off campus drive for In fresher tech graduates

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Required education qualifications is Engineering or any tech degree in any discipline ( Pursuing MS or PG Degree Is Preferred )

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Critical Thinking and ability to analyze numbers trends and data is important to work data.

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Must have demonstrated knowledge of one or more data & business intelligence concepts including ETL, Data Modeling, Reporting Automation, and/or Dashboarding

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Popular upskilling courses include the Coursera Data Analytics Professional Certificate, AWS Academy training, and Microsoft Learn programs. Advanced training in AI, Cloud, and Big Data technologies gives candidates an edge in interviews. .

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Knowledge of Machine Learning, Deep Learning, NLP (Natural Language Processing) & Python is added advantage.

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Machine learning expertise in TensorFlow, PyTorch, and scikit-learn is a core requirement. Cognizant projects involve NLP, Recommendation Systems, and Predictive Analytics solutions.

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Knowledge of Generative AI tools like ChatGPT, Copilot, and Claude is a big advantage in Cognizant’s projects. Roles increasingly require skills in Prompt Engineering and AI automation frameworks.

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Familiarity with transformer based and generative models like GPT3, T5 and Pegasus will be preferred.

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Cognizant is hiring candidates with strong skills in AWS, Azure, and Google Cloud platforms. Professionals with hands-on experience in Hadoop, Spark, and Kafka are in high demand.

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Knowledge of data visualisation software like Google Data Studio, Tableau, PowerBI and Looker a plus.

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Having knowledge of classification (Random Forest, SVM, Boosting and Bagging techniques) and clustering algorithms is desirable.

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You can also visit our official job portal for more MNC and data science job openings 

Hope you understand the basic criteria, just don't go for perfect criteria when you apply your will test link mail, so click below and apply now

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