Monday, October 13, 2025
Optimspace

Data Science Intern

Posted: Aug 7, 2025
mid

Job Description

Job Title: Data Science Intern 
Company: Optimspace.in
Location: Remote
Duration: 3 months
Opportunity: Full-time role based on performance + Internship Certificate

About Optimspace.in

Optimspace.in provides students and graduates with hands-on experience in Data Science and AI, helping them build skills and portfolios through real-world projects.

     Responsibilities

  • Collect, preprocess, and analyze large datasets
  • Develop predictive models and machine learning algorithms
  • Perform exploratory data analysis (EDA) to extract insights
  • Create data visualizations and dashboards for effective communication
  • Collaborate with cross-functional teams to deliver data-driven solutions

    Requirements

  • Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field
  • Proficiency in Python or R for data analysis and modeling
  • Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred)
  • Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities

    Stipend & Benefits

  • Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid)
  • Hands-on experience in data science projects
  • Certificate of Internship & Letter of Recommendation
  • Opportunity to build a strong portfolio of data science models and applications
  • Potential for full-time employment based on performance

How to Apply
Submit your application with the subject line "Data Science Intern Application."
Note:- Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

About the company

Join our team at Optimspace and embark on a journey of growth and innovation.

Job Application Tips

  • Tailor your resume to highlight relevant experience for this position
  • Write a compelling cover letter that addresses the specific requirements
  • Research the company culture and values before applying
  • Prepare examples of your work that demonstrate your skills
  • Follow up on your application after a reasonable time period

Related Jobs