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REQUIREMENT_ID_1449 • 3-DAY_ACTIVE_POLICY

Data Science Internship

Company
Company Featured Tech Partner
Type
Opportunity Type Internship
Salary
Stipend / Salary ₹ 18,000 - ₹ 20,000 per month
Location
Location Remote
Posted Date
Posted Date Yesterday
Python R Machine Learning Deep Learning Data Scraping Data Preprocessing SQL Statistics Git
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Aptitude Practice Questions Open Resource ↗
Curated quantitative and logical reasoning problems to sharpen analytical thinking for data‑science assessments.
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Company Interview Preparation Guide Open Resource ↗
Comprehensive guide covering typical interview formats, common data‑science questions, and preparation strategies.
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Comprehensive Interview Prep Resources Open Resource ↗
A collection of tutorials, mock interviews, and study plans to help candidates excel in technical rounds.
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Algorithm Practice Problems Open Resource ↗
Extensive problem set to practice coding, data structures, and algorithmic challenges relevant for technical tests.

Open to Undergraduate and Postgraduate students from Arts, Commerce, Sciences, Engineering, Management and other streams. Minimum aggregate of 60% (or CGPA 6.0/10). No active backlogs at the time of application. Candidates from the 2024, 2025, 2026 batch are eligible.

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Round 1: Shortlisting based on academic performance and resume
2
Round 2: Technical assignment / coding test focusing on data‑science concepts
3
Round 3: HR interview covering motivation, communication skills, and cultural fit
Unstop is India’s leading student‑first platform that bridges the gap between fresh talent and industry opportunities. With millions of registered users, Unstop curates internships, projects, and entry‑level roles across sectors, fostering a community where learning, skill‑building, and career growth happen hand‑in‑hand. The platform prides itself on a data‑driven approach to match candidates with the right opportunities, leveraging AI and analytics to enhance the recruitment experience for both students and employers. By joining Unstop’s ecosystem, interns gain exposure to real‑world problems, mentorship from seasoned professionals, and a chance to contribute to a product that impacts thousands of aspiring professionals daily. The Data Science Internship at Unstop offers a unique blend of hands‑on technical work and strategic insight. As a data‑science intern, you will be part of a dynamic team that builds and refines the algorithms powering the platform’s recommendation engine, candidate matching, and analytics dashboards. You will work remotely, enjoying flexible hours that let you balance academic commitments while gaining industry‑relevant experience. Key Responsibilities: 1. Design, develop, and test machine‑learning models for candidate‑job matching. 2. Perform web‑scraping using Python or R to gather external data sources that enrich the platform’s dataset. 3. Clean, preprocess, and transform both structured and unstructured data for analysis. 4. Implement exploratory data analysis (EDA) to uncover trends and insights. 5. Build and evaluate deep‑learning models for natural‑language processing tasks such as resume parsing. 6. Collaborate with product and engineering teams to integrate model outputs into production pipelines. 7. Document code, methodologies, and findings in clear, reproducible notebooks. 8. Participate in weekly sprint meetings, presenting progress and challenges. 9. Conduct A/B testing to measure the impact of new algorithms on user engagement. 10. Assist in creating visual dashboards for internal stakeholders using tools like Tableau or Power BI. Tech Stack: Python, R, Pandas, NumPy, Scikit‑learn, TensorFlow/Keras, BeautifulSoup/Scrapy, SQL, Git, Docker, Tableau/Power BI. Growth Path: Successful interns may receive a pre‑placement offer, transition into a full‑time Junior Data Scientist role, or explore other data‑analytics positions within Unstop’s expanding analytics team. The internship also equips you with a strong portfolio of projects that are highly valued by future employers. Why Join? You will work on real‑impact projects that shape the career journeys of millions, receive a certificate and recommendation letter, enjoy flexible work hours, and gain mentorship from industry experts. The remote setup ensures you can contribute from anywhere while building a professional network within the tech and HR tech ecosystem.

Featured Tech Partner — Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource ↗
COMPANY GUIDE 🎯
Featured Tech Partner Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Featured Tech Partner and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, R, Machine Learning, Deep Learning, Data Scraping, Data Preprocessing, SQL, Statistics, Git) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Featured Tech Partner Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Featured Tech Partner as a Data Science Internship?
Preparation Tip: Highlight Featured Tech Partner's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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