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实习 在家办公

Data Science Intern (Work From Home, Part Time)

Emoolar Technology Private Limited

Remote · 兼职实习

抢先申请

助学金
Stipend: INR 3,000 – INR 4,000 / month
期间
3个月
开始
立即地
职位空缺
7
哪些人可以申请

Candidates eligible to apply are those who can work from home, can start between 5th Jul'26 and 9th Aug'26, are available for 3 months, and possess relevant skills and interest in the domain.

工作模式
在家办公
恢复
需要申请

关于实习

About the internship

This is a part-time, work-from-home internship with Emoolar Technology Private Limited. You’ll apply data science and machine learning knowledge to practical business projects while working with experienced team members in a fast-moving environment. The role is aimed at contributing to solutions that support product improvement, business expansion, and informed decision-making.

What you’ll do

  • Analyze datasets and build models that uncover patterns, trends, and actionable insights.
  • Create and apply machine learning methods to address real-world problem statements.
  • Work with cross-functional teams to plan, build, and roll out data science solutions.
  • Use statistical techniques to examine and interpret large volumes of data.
  • Support the creation and upkeep of data pipelines and related infrastructure.
  • Keep track of current developments, tools, and approaches in data science and machine learning.
  • Prepare and communicate findings and recommendations clearly for stakeholders.

Who can apply

This internship is open only to candidates who can work remotely, are available to begin between 5th Jul'26 and 9th Aug'26, can commit to the full 3-month duration, and have relevant skills and a strong interest in the field.

Stipend

The internship offers a monthly stipend of INR 3,000 to 4,000.

Perks

  • Certificate
  • Letter of recommendation
  • Flexible work hours
  • 5 days a week

About the company

Emoolar Technology Private Limited provides end-to-end IT services designed for modern business needs. The company focuses on quality and innovation, delivering technology solutions that help organizations grow and stay competitive in a rapidly changing digital environment.

福利

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