Data Science Internship

Round 1: Technical interview (Data Science fundamentals) → Round 2: Technical interview (Machine Learning) → Round 3: HR

Unstop fosters a collaborative and inclusive environment, encouraging continuous learning and innovation. Employees enjoy flexible work arrangements, a healthy work‑life balance, and ample opportunities for professional growth.

Unstop’s interview process typically involves a technical round focused on data science fundamentals, followed by a machine learning round, and concludes with an HR interview. Questions cover statistical concepts, coding exercises, and scenario‑based problem solving. Candidates are advised to practice coding on platforms like LeetCode and review common interview questions on industry blogs.

Undergraduate, Postgraduate, Engineering, Arts, Commerce, Sciences & Others. Fresher. No backlog policy mentioned.

Vortizo AI, a cutting‑edge AI solutions provider, is looking for a Data Science Intern to join its remote team. The company focuses on building practical, technology‑driven solutions that help organizations make better decisions with data and artificial intelligence. As a Data Science Intern, you will work closely with experienced data scientists and engineers, gaining hands‑on exposure to real‑world analytical and machine learning workflows. **Role Summary** The internship is a 6‑month, full‑time remote engagement that offers a stipend of ₹45,000 per month. You will be responsible for collecting, cleaning, transforming, and analyzing both structured and unstructured datasets. Your work will directly influence product decisions and business strategies. **Key Responsibilities** 1. Gather data from multiple sources and ensure data quality. 2. Perform data cleaning and preprocessing using Python libraries. 3. Conduct exploratory data analysis to uncover patterns and trends. 4. Build and evaluate statistical and machine learning models. 5. Fine‑tune models and document performance metrics. 6. Create clear visualizations and reports for stakeholders. 7. Collaborate with cross‑functional teams to translate insights into action. 8. Maintain reproducible workflows and version control. 9. Stay updated on industry best practices and emerging tools. 10. Participate in weekly stand‑ups and knowledge‑sharing sessions. **Tech Stack** Python, Pandas, NumPy, Scikit‑Learn, SQL, Jupyter, Git, Tableau/PowerBI, Cloud platforms (AWS/GCP) – optional. **Growth Path** The internship is designed to transition into a full‑time Data Scientist role upon successful completion. Interns will receive mentorship, access to internal training, and opportunities to contribute to high‑impact projects. **Why Join** - Remote flexibility with a supportive virtual team. - Hands‑on experience with real datasets and production‑grade models. - Exposure to AI/ML product development from ideation to deployment. - Competitive stipend and potential for full‑time offer. - A culture that values continuous learning and innovation. This internship is ideal for students or recent graduates eager to apply data science skills in a dynamic, AI‑centric environment.