
Eligibility Criteria
Bachelorβs degree in Computer Science, Information Technology, Engineering, Statistics, Mathematics, or related fields. Minimum 60% aggregate or equivalent CGPA. No backlog policy; however, candidates should demonstrate a strong academic record and a passion for data analytics. Freshers and experienced candidates are welcome.

Job Description & Key Responsibilities
Codeatrix is a forwardβthinking technology firm that specializes in leveraging data to solve complex business challenges across multiple industries. Founded with a vision to democratize data science, the company has rapidly grown into a collaborative ecosystem where fresh talent can learn, experiment, and contribute to realβworld projects. With a fully remote setup, Codeatrix empowers interns to work from anywhere while staying connected through virtual mentorship, weekly knowledgeβsharing sessions, and a robust internal communication platform.
The Data Science Internship is a twoβmonth, partβtime program designed for freshers and earlyβcareer professionals. Interns will be immersed in the complete data science lifecycleβfrom data acquisition and cleaning to model deployment and performance monitoring. The role is ideal for those who enjoy turning raw data into actionable insights and want to build a strong foundation in analytics, machine learning, and data storytelling.
Key responsibilities include:
1. Collecting, cleaning, and validating realβworld datasets from diverse sources.
2. Performing exploratory data analysis (EDA) to uncover patterns, trends, and anomalies.
3. Creating clear, concise reports and visualizations using tools like Tableau or Power BI.
4. Supporting data preprocessing and feature engineering for predictive modeling.
5. Experimenting with machine learning algorithms and evaluating model performance.
6. Collaborating with crossβfunctional teams to translate analytical findings into business recommendations.
7. Documenting processes and maintaining reproducible codebases.
8. Participating in weekly mentorship sessions and knowledgeβsharing workshops.
9. Contributing to internal knowledge repositories and bestβpractice guidelines.
10. Presenting project outcomes to senior stakeholders.
Tech stack: Python (Pandas, NumPy, Scikitβlearn), SQL, Tableau/Power BI, Git, Jupyter Notebooks.
Growth path: Successful interns can transition into fullβtime roles such as Junior Data Analyst, Data Scientist, or Business Analyst within Codeatrix, with opportunities to specialize in AI/ML, data engineering, or product analytics.
Why join? Codeatrix offers a flexible, supportive environment where learning is prioritized. Interns receive a stipend, a certificate of completion, a letter of recommendation, and the chance to work on live projects that impact real businesses. The companyβs culture emphasizes continuous learning, mentorship, and a healthy workβlife balance, making it an ideal launchpad for a career in data science.