Machine Learning Intern

About the internship

This work-from-home internship is an opportunity to support a mission-driven women-led foundation using machine learning to strengthen its programs and impact. The role is suited to candidates who want to apply ML skills in a purpose-oriented setting while contributing to initiatives that empower women and girls.

What you will do

• Partner with the data science team to build and put machine learning models into practice.
• Analyze data and interpret the results to generate useful insights for ongoing programs.
• Work with different teams to refine, improve, and maintain existing ML models.
• Help develop predictive models that support better decision-making.
• Keep track of new developments in machine learning and bring relevant ideas into projects.
• Take part in idea-generation sessions to explore innovative ML-based solutions.
• Communicate analysis results and recommendations to stakeholders in a clear, concise way.

Who can apply

Candidates who are available for a remote internship, can begin between 22 June 2026 and 27 July 2026, and can commit for 1 month may apply. Applicants should have relevant skills and genuine interest in the field. Women looking to start or restart their careers are welcome, and freshers may also apply.

About the organization

Queens Of Change Foundation is a government-registered all-women organization focused on improving dignity, equality, and opportunity for women and girls. The foundation supports menstrual health by providing free sanitary pads every month, spreading awareness, challenging stigma, and helping communities through education and skill-building initiatives that promote confidence and financial independence.

Perks and benefits

• Certificate
• Letter of recommendation
• Flexible work hours
• Job offer

Additional details

This is a part-time, remote internship based in Delhi, Delhi, India, though the work mode is from home. The position is unpaid. Applications close on 22 July 2026 at 23:59:59. The organization is looking to fill 10 openings. The internship starts immediately and runs for 1 month.