Data Science Intern – Python Developer

Job Description

Job Summary

Cognizant is seeking a motivated and detail-oriented Data Science Intern – Python Developer to join our growing analytics and AI-driven innovation team. This internship offers a unique opportunity to work alongside experienced data professionals and contribute to real-world projects involving predictive analytics, automation, and business intelligence. The ideal candidate will possess a strong foundation in Python, data manipulation, and statistical analysis, along with a passion for solving complex business problems through data-driven insights.

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Key Responsibilities

• Assist in designing, developing, and deploying data-driven models and algorithms to support business decision-making.


• Work with large datasets to extract, clean, and preprocess data using Python and related libraries (Pandas, NumPy, Scikit-learn).


• Develop scripts and automation tools for data collection, integration, and analysis.


• Support the implementation of machine learning models and monitor their performance.


• Collaborate with cross-functional teams including Data Engineers, BI Analysts, and Project Managers to deliver analytics solutions.


• Prepare dashboards, visualizations, and reports using tools like Tableau, Power BI, or Matplotlib.


• Stay updated with the latest trends in data science, AI, and machine learning technologies.


• Participate in daily stand-ups, brainstorming sessions, and review meetings to contribute innovative ideas.

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Required Skills and Qualifications

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.


• Strong programming skills in Python with experience using libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.


• Basic understanding of machine learning algorithms, regression, and classification models.


• Familiarity with SQL and database management systems.


• Excellent analytical and problem-solving skills with keen attention to detail.


• Good understanding of data visualization techniques and tools.


• Ability to work collaboratively in a fast-paced, team-oriented environment.


• Strong verbal and written communication skills.

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Experience

• Prior internship or academic project experience in data science, machine learning, or Python development is an advantage.


• Freshers with a strong academic background and portfolio of relevant projects are also encouraged to apply.

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Working Hours

• Full-time internship role: Monday to Friday, 9:00 AM to 6:00 PM (Flexible Work Hours).


• Remote and hybrid work options may be available depending on project requirements.

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Knowledge, Skills, and Abilities

• In-depth knowledge of data preprocessing, feature engineering, and model evaluation techniques.


• Understanding of APIs and web data extraction methods.


• Familiarity with cloud platforms like AWS, Azure, or Google Cloud is a plus.


• Passion for continuous learning and applying new technologies to real-world challenges.


• Ability to translate complex data findings into actionable business insights.

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Benefits

• Hands-on experience with live Cognizant projects and enterprise-grade data environments.


• Mentorship from senior data scientists and engineers.


• Access to professional learning platforms and AI/ML certifications.


• Competitive stipend and performance-based incentives.


• Opportunity for full-time employment post-internship based on performance.


• Exposure to global teams and diverse business domains.

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Why Join Cognizant

At Cognizant, we believe in empowering young professionals to shape the future of technology. As a Data Science Intern, you’ll gain invaluable experience working on impactful projects that drive digital transformation across industries. You’ll collaborate with some of the brightest minds in the field while developing skills that will accelerate your career in data analytics, AI, and software engineering.

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How to Apply

Interested candidates can apply through the Cognizant Careers Portal or send their updated resume to us with the subject line “Application for Data Science Intern – Python Developer”. Shortlisted candidates will be contacted for an initial screening, followed by a technical interview and a project assessment.

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Job Details