Machine Learning Intern

Type

Duration (for interns)

Stipend/CTC

• Interns

  : Final-year students or recent graduates who love working with numbers, patterns, and stories hidden in data.

• Freshers

  : 0–1 years of exposure through academic projects or internships, with a curiosity for analysis and problem-solving.

• Experienced Professionals

  : 1+ years of experience in roles where decisions were guided by data, with examples of reports, presentations, or case studies to showcase.

• Collect and organize information from different sources to create meaningful stories.
• Identify trends, patterns, and hidden insights that can help decision-making.
• Present findings in a simple, structured, and visually clear way for different teams.
• Support strategy discussions by providing fact-based observations.
• Collaborate with product, marketing, and business teams to make processes more data-driven.
• Contribute to building easy-to-understand reports, presentations, and summaries for leadership.

• Strong attention to detail and curiosity to explore “why” behind numbers.
• Analytical mindset — ability to break down problems into smaller, logical steps.
• Clear communication skills for explaining insights to different stakeholders.
• Organized working style and ability to handle multiple small tasks with consistency.
• Eagerness to learn continuously and apply structured thinking.

• Interest in data storytelling and simplifying complex topics.
• Experience in preparing reports, case studies, or research papers.
• Awareness of how businesses measure growth, customers, or performance.
• Participation in projects, competitions, or internships that involved insights or decision support.

• Real-world exposure to how data supports growth and strategy.
• Mentorship and guidance from experienced professionals.
• A certificate of Internship/Experience & Letter of Recommendation (for interns).
• Opportunities to contribute to real business decisions and growth strategies.
• Flexible work environment with learning-driven culture.
• Practical experience in turning raw information into clear insights for decision-makers.

Location

Type