Data Science Internship
Opal Code
RemoteFresher3h agovia Unstop
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- PythonData analysisData structures & algorithmsMachine learningStatisticsBudgeting
- Work
- Remote · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis82%Python54%Data structures & algorithms10%Machine learning8%of 106 similar fresher jobs posted in India this week
- Listed
- 9 Nov 2026 · still open
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About Opal Code
- Opal Code works at the intersection of technology, analytics, and software development, creating solutions for practical business challenges.
Internship Overview
- Role: Data Science Intern
- Organization: Opal Code
- Duration: 2 Months
- Work Mode: Remote
- Stipend: ₹15,000 per month
- Eligibility: Freshers, students, and experienced candidates
Key Responsibilities
- Translate business or analytical questions into data science tasks.
- Work with Python-based tools to process and analyze datasets.
- Perform exploratory data analysis and feature engineering.
- Implement suitable machine learning algorithms.
- Validate models using appropriate performance metrics.
- Document project workflows, methodologies, and results.
- Collaborate with mentors and incorporate technical feedback.
- Complete project milestones within assigned timelines.
What You'll Work On
- Participate in analytical and machine learning tasks involving understanding datasets, discovering patterns, building predictive models, and communicating insights.
- Explore real-world datasets to uncover meaningful trends and relationships.
- Prepare datasets by handling missing values, inconsistencies, and outliers.
- Apply statistical methods to support data-driven analysis.
- Develop machine learning models for prediction and classification tasks.
- Evaluate model performance and identify opportunities for improvement.
- Present analytical findings through visualizations and structured reports.
Sample Projects
- Customer Churn Prediction
- Sales Forecasting System
- Movie Recommendation Engine
- Credit Risk Analysis
- Student Performance Prediction
- E-Commerce Customer Segmentation
Skills & Technical Background
- Candidates with familiarity in the following areas will have an advantage:
- Python programming
- Pandas and NumPy
- Matplotlib, Seaborn, or similar visualization libraries
- Statistics and probability fundamentals
- Exploratory Data Analysis (EDA)
- Machine Learning fundamentals
- Scikit-learn
- SQL and database basics
- Candidates are encouraged to apply even if they are still developing their technical expertise, provided they demonstrate a genuine interest in Data Science.
Who Should Apply?
- Students pursuing degrees in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related disciplines.
- Recent graduates looking to strengthen their technical portfolio.
- Individuals interested in machine learning and data-driven problem-solving.
- Candidates seeking practical exposure through project-based work.
What You Can Gain
- Practical experience with Data Science workflows.
- Exposure to machine learning implementation and evaluation.
- Project experience that can strengthen your technical portfolio.
- Internship completion certificate for eligible candidates.
- Letter of Recommendation for eligible high-performing interns.
- Career and resume-building guidance.