Opportunity brief
Codeatrix is hiring for a Data Science Intern!
About the Company:
Codeatrix is inviting applications for a practical, fully remote Data Science Internship designed for freshers and experienced candidates. Interns will work in a learning-oriented environment that connects data, technology, and business problem-solving across multiple industries. The two-month program will help participants strengthen their analytical approach while gaining exposure to the end-to-end data science lifecycle.
Responsibilities:
- Collect, clean, organize, and validate real-world datasets for analysis.
- Perform exploratory data analysis, identify patterns, and prepare clear reports or visualizations.
- Support data preprocessing, feature engineering, model experimentation, and evaluation.
- Work with mentors and team members to solve business problems, document findings, and share project progress.
Requirements:
- Strong interest in data science, data analytics, statistics, or a related area.
- Good logical reasoning, problem-solving ability, attention to detail, and willingness to learn.
- Basic familiarity with Python, SQL, spreadsheets, data visualization, or machine learning concepts is beneficial.
- Freshers and candidates with prior experience are welcome to apply.
- Comfort with independent work, written communication, and collaboration through online tools.
Key Internship Features:
- 5+ Industry Projects: Work on real-world datasets through exploratory data analysis, data preprocessing, and business-focused problem-solving.
- Hands-on Data Science Skills: Develop practical knowledge of Python, Pandas, NumPy, Scikit-learn, machine learning, feature engineering, and model optimization.
- Mentorship & Career Support: Receive regular project reviews, portfolio development guidance, a completion certificate, and a letter of recommendation for eligible performers.
- Stipend & Placement Support: Receive the current monthly stipend of ₹15,000–₹20,000 along with placement and career guidance.
This opportunity is suitable for candidates who want structured exposure to practical data work and are ready to build a strong foundation through hands-on assignments, mentor feedback, portfolio development, and career support.