Data Scientist Intern (Remote)

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Evoastra Ventures is a research-first data and AI solutions company focused on delivering value through predictive analytics, market intelligence, and technology consulting. Our goal is to empower businesses by transforming raw data into strategic decisions. As an intern, you will work with real-world datasets and gain industry exposure that accelerates your entry into the data science domain.

We are seeking highly motivated and analytical individuals for our Data Scientist Internship. This role is designed to give you hands-on exposure to real datasets, problem-solving tasks, and model development under the guidance of industry professionals.

• Perform data cleaning, preprocessing, and transformation
• Conduct exploratory data analysis (EDA) and identify trends
• Assist in the development and evaluation of machine learning models
• Contribute to reports and visual dashboards summarizing key insights
• Document workflows and collaborate with team members on project deliverables
• Participate in regular project check-ins and mentorship discussions
  

• Python, NumPy, Pandas, Scikit-learn
• Matplotlib, Seaborn
• Jupyter Notebook
• GitHub (for collaboration and version control)
• Power BI or Google Data Studio (optional but preferred)
  

• Basic knowledge of Python, statistics, and machine learning concepts
• Good analytical and problem-solving skills
• Willingness to learn and adapt in a remote, team-based environment
• Strong communication and time-management skills
• Laptop with stable internet connection
  

• Verified Internship Certificate
• Letter of Recommendation (based on performance)
• Real-time mentorship from professionals in data science and analytics
• Project-based learning and portfolio-ready outputs
• Priority consideration for future paid internships or full-time roles at Evoastra
• Recognition in our internship alumni community
  

1. Submit your resume via our internship application form at
2. www.evoastra.in
3. Selected candidates will receive an onboarding email with further steps
4. This internship is fully remote and unpaid

Build your career foundation with hands-on data science projects that make an impact.