Data Science Intern – Machine Learning Projects

Job Summary

Wipro, a global leader in IT services and consulting, is seeking highly motivated and talented Data Science Interns to join our Machine Learning Projects team. This internship offers a unique opportunity to work on cutting‑edge data‑driven solutions, develop advanced analytical skills, and gain hands‑on experience with real‑world Machine Learning and AI applications. The role is ideal for students or recent graduates passionate about turning complex data into actionable insights.

Key Responsibilities

• Collaborate with senior data scientists and engineers to develop, test, and deploy machine learning models.
• Analyze large datasets to identify patterns, trends, and actionable insights.
• Assist in designing data pipelines and implementing algorithms for predictive modeling, classification, and clustering.
• Participate in the full machine learning lifecycle: data collection, preprocessing, model building, evaluation, and optimization.
• Document methodologies, experiments, and findings clearly and effectively.
• Present results and insights to cross‑functional teams and contribute to data‑driven decision‑making.
• Stay updated with the latest trends, tools, and techniques in data science and AI.

Required Skills and Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Strong programming skills in Python, R, or Java.
• Hands‑on experience with machine learning libraries and frameworks such as scikit‑learn, TensorFlow, PyTorch, or Keras.
• Solid understanding of statistical concepts, data preprocessing, and model evaluation techniques.
• Familiarity with data visualization tools such as Matplotlib, Seaborn, Tableau, or Power BI.
• Knowledge of SQL and NoSQL databases is a plus.
• Strong analytical thinking and problem‑solving abilities.
• Excellent communication and teamwork skills.

Experience

• Prior internship or academic project experience in data science, machine learning, or analytics is preferred but not mandatory.
• Exposure to real‑world datasets and hands‑on modeling projects will be advantageous.

Working Hours

• Full‑time internship: 8–10 hours per day.
• Flexible hours may be considered based on academic commitments.
• Duration: 3–6 months, with a possibility of extension or conversion to a full‑time role based on performance.

Knowledge, Skills, and Abilities

• Strong mathematical, statistical, and computational knowledge.
• Ability to work independently as well as collaboratively in a team environment.
• Curiosity and eagerness to learn new tools, algorithms, and approaches.
• Attention to detail and ability to handle large datasets efficiently.
• Adaptability to fast‑paced projects and changing priorities.

Benefits

• Mentorship from experienced data scientists and industry experts.
• Hands‑on experience with machine learning projects impacting real business outcomes.
• Access to Wipro’s learning resources and professional development programs.
• Certificate of Internship upon successful completion.
• Opportunity to network with professionals across Wipro and explore career opportunities.

Why Join Wipro

• Be part of a globally recognized IT leader driving innovation through AI and data science.
• Work on impactful projects that make a difference in multiple industries.
• Gain exposure to cutting‑edge technologies and practical applications of machine learning.
• Enhance your professional portfolio and strengthen career prospects in data science.

How to Apply

• Interested candidates can apply online through Wipro’s Careers portal.
• Submit your updated resume, academic transcripts, and any relevant project portfolio.
• Shortlisted candidates will be contacted for a technical interview and discussion of potential projects.
• Wipro Careers Portal Link