Park+ Hiring For Data Scientist and Research Scientist Internship with Pre-Placement Offer. Hiring Park+ in India for 6-month roles in Gurugram. ₹40,000 monthly stipend for 2025/2026.
Park+ Hiring in India has announced exciting opportunities for aspiring data professionals with its Park+ Hiring For Data Scientist and Research Scientist Internship program for the 2025/2026 batch. This 6-month internship based in Gurugram offers a competitive stipend of ₹40,000 per month along with Pre-Placement Offer (PPO) opportunities. Hiring Park+ represents a golden chance for students and recent graduates to work with one of India’s leading automotive technology platforms and gain hands-on experience in cutting-edge data science and research domains.
About Park+ and This Opportunity
Park+ has established itself as a comprehensive car ownership platform in India, revolutionizing how vehicle owners manage parking, FASTag recharges, insurance, and more. The company’s data-driven approach to solving automotive challenges makes it an ideal workplace for budding data scientists and research professionals.
This internship program focuses on:
- Machine learning model development and deployment
- Data analytics and insights generation
- Research-oriented problem solving in automotive tech
- Cross-functional collaboration with product and engineering teams
Internship Details
Company: Park+
Position: Data Scientist & Research Scientist Intern
Duration: 6 Months
Stipend: ₹40,000 per month
Location: Gurugram, Haryana
Eligible Batch: 2025/2026
Benefits: Pre-Placement Offer (PPO) opportunity
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Key Responsibilities
As a Data Scientist or Research Scientist Intern at Park+ in India, selected candidates will:
- Develop predictive models to enhance user experience and platform efficiency
- Conduct exploratory data analysis on large-scale automotive datasets
- Design and implement machine learning algorithms for real-world applications
- Collaborate with cross-functional teams including product managers and engineers
- Present research findings and insights to stakeholders
- Optimize existing data pipelines and analytics frameworks
Eligibility Criteria
To qualify for this Park+ Hiring opportunity, candidates should meet the following requirements:
- Currently pursuing or recently completed B.Tech/M.Tech/M.Sc in Computer Science, Data Science, Mathematics, Statistics, or related fields
- Strong foundation in machine learning, statistics, and data structures
- Proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch)
- Experience with SQL and database management
- Excellent problem-solving and analytical skills
- Prior internship experience in data science or research roles (preferred)
- Strong communication skills for presenting technical concepts
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Skills Required
Technical Skills:
- Machine Learning & Deep Learning
- Statistical Analysis & Hypothesis Testing
- Data Visualization (Matplotlib, Seaborn, Tableau)
- Big Data Technologies (Spark, Hadoop – plus point)
- Cloud Platforms (AWS/GCP/Azure – beneficial)
Soft Skills:
- Analytical thinking
- Team collaboration
- Time management
- Research methodology
Learning & Development Opportunities at Park+
The Park+ Data Scientist and Research Scientist Internship program provides comprehensive training in advanced analytics and AI-driven solutions for the automotive sector. Interns gain exposure to real-time data processing, predictive modeling, and customer behavior analysis while working alongside industry experts. This hands-on experience with cutting-edge technologies and mentorship from senior data scientists accelerates professional growth, making candidates industry-ready. The structured learning path ensures interns develop both technical expertise and business acumen essential for successful data science careers.
Application Tips for Park+ Hiring Success
To maximize your chances in the Park+ Hiring process, showcase relevant data science projects, Kaggle competitions, or research papers in your application. Highlight specific achievements like model accuracy improvements or insights-driven recommendations. Familiarize yourself with Park+’s business model and automotive industry challenges to demonstrate genuine interest. Prepare thoroughly for coding assessments covering Python, SQL, and machine learning algorithms. Strong candidates also emphasize their ability to translate complex data insights into actionable business strategies, aligning with Park+’s data-driven culture and innovation goals.
How to Apply
Interested candidates can apply for this Hiring Park+ opportunity through the following steps:
- Visit the official Park+ careers portal or check updates on Get Hired Faster website
- Prepare your resume highlighting relevant projects and internships
- Ensure your resume includes keywords: machine learning projects, data analysis, Python programming
- Attach a cover letter explaining your interest in automotive technology and data science
- Submit your application before the deadline
Why Choose Park+ for Your Internship?
- Industry Exposure: Work on real-world automotive technology problems
- Mentorship: Learn from experienced data scientists and researchers
- PPO Opportunity: High-performing interns receive Pre-Placement Offers
- Competitive Stipend: ₹40,000 monthly compensation
- Location Advantage: Based in Gurugram, India’s startup hub
- Career Growth: Build a strong foundation in data science and AI
Frequently Asked Questions (FAQs)
Q1: Is this Park+ internship open to both 2025 and 2026 batch students?
Yes, the Park+ Hiring For Data Scientist and Research Scientist Internship is open to both 2025 and 2026 graduating batches. Students in their pre-final and final years can apply.
Q2: What is the selection process for this Hiring Park+ opportunity?
The selection process typically includes an online assessment covering data structures, machine learning concepts, and SQL, followed by technical interviews focusing on problem-solving and domain knowledge, and a final HR round.
Q3: Does the Park+ internship guarantee a Pre-Placement Offer (PPO)?
While the internship offers PPO opportunities, the final offer depends on your performance during the 6-month internship period. High-performing interns with strong contributions typically receive full-time offers.
