A Data Science Internship is a great way to learn how to work with data, analyze trends, and build machine learning models. It helps students and freshers gain practical knowledge of tools like Python, SQL, Power BI, and Tableau. Interns get to work with real data, clean it, and find useful patterns.
Most internships focus on programming, data analysis, and visualization. Some may also involve machine learning and artificial intelligence. Companies look for interns who know Python, have basic knowledge of statistics, and can solve problems using data.
Internships can be remote or office-based and may last for a few months. Some offer a stipend, while others provide certificates and job opportunities. It is a great way to improve your resume and increase job chances in the data science field. Check here for the Top 5 Data Science Internships.
How to Choose the Right Data Science Internship?
Choosing the right data science internship is important for gaining real-world experience and building your career. Here are key factors to consider while going for an internship in March.
1. Check the Skills Required
Look at the required skills for the internship. Some may need Python, SQL, Machine Learning, or Power BI. Choose one that matches your knowledge but also helps you learn new tools.
2. Look at the Projects Offered
A good internship should give you hands-on experience with real projects. Check if the internship involves tasks like data analysis, predictive modeling, or dashboard creation.
3. Consider Remote vs. In-Office
Some internships are remote, while others require working from an office. Choose based on your comfort and availability. Remote internships are flexible, but in-office ones may offer better networking opportunities.
4. Check the Internship Duration & Stipend
Internships can last from 3 to 6 months. Some offer stipends, while others are unpaid. If a paid internship is not available, look for one that offers a strong learning experience.
5. Look for Full-Time Job Opportunities
Some internships may lead to full-time jobs based on performance. If you want a long-term role, check if the company offers this opportunity. By considering these points, you can choose the best data science internship for your career growth
Data Science Internships to Apply in March 2025
Candidates who are looking for Data Science internships in March to enhance their machine learning, data visualization, and programming skills should explore these exciting opportunities. Companies are offering internships that focus on Python, Power BI, SQL, and AI-driven projects to help interns gain real-world experience.Â
These internships offer valuable industry exposure. Some are paid, while others provide certification and job opportunities. If you are passionate about data analysis and want to build a strong portfolio, check out these top 5 Data Science internships to apply for in March 2025.
1. WebBoost Solutions by UM – Data Science Intern (Remote, 3 Months, Unpaid)
WebBoost Solutions by UM is offering a great opportunity for aspiring data scientists to gain hands-on experience. If you have skills in Python, machine learning, and , data visualization this internship can help you refine them further. You will work on real-world projects, develop predictive models, and analyze large datasets. Below are the key details of this internship:
About WebBoost Solutions by UM:
WebBoost Solutions by UM provides aspiring professionals with real-world data science projects to refine their skills in data analysis, machine learning, and predictive modeling.
Key Responsibilities:
- Collect, preprocess, and analyze large datasets.
- Develop predictive models and machine learning algorithms.
- Perform Exploratory Data Analysis (EDA) to gain insights.
- Create data visualizations and dashboards for better communication.
- Work with cross-functional teams to deliver data-driven solutions.
Requirements:
- Must be enrolled in or a graduate of Data Science, Computer Science, or a related field.
- Proficiency in Python or R for data analysis.
- Knowledge of scikit-learn, TensorFlow, or PyTorch (preferred).
- Experience with Tableau, Power BI, or Matplotlib for data visualization.
- Strong analytical and teamwork skills.
Perks & Benefits:
- Hands-on experience in data science projects.
- Certificate of Internship & Letter of Recommendation.
- Potential for full-time job based on performance.
How to Apply:
Send your resume and cover letter with the subject line “Data Science Intern Application.”
Application Deadline: 12th March 2025
2. Liberty Data Analytics – Data Science Intern (6 Months, India)
Data Science enthusiasts looking to gain hands-on experience in Power BI and SQL should consider this internship at Liberty Data Analytics. This opportunity will help you develop data visualization and querying skills while working on real-world projects. Below are the key details of this internship:
About Liberty Data Analytics:
The GRS Asia Retail Market – Non-Price Predictive Modeling team offers this internship to help students gain practical experience in data analysis, dashboard development, and querying.
Key Responsibilities:
- Develop Power BI dashboards to display key performance indicators (KPIs) and trends.
- Extract and fetch data from databases using SQL queries.
- Perform ad hoc data analysis to find insights.
- Work closely with team members and stakeholders for data-driven decisions.
Requirements:
- Must be enrolled in a relevant degree program (Computer Science, Data Science, Business Analytics, etc.).
- Strong knowledge of Power BI for data visualization.
- Basic understanding of SQL and relational databases.
- Analytical mindset with problem-solving skills.
- Good communication skills and ability to work in a team.
Location: Capital Cyberscape, 2nd Floor, Ullahwas, Sector 59, Gurugram, Haryana 122102
Duration: 6 months
3. Carrier Global Corporation – Data Science Intern (Supply Chain Analytics, Gurgaon)
Carrier Global Corporation is offering a data science internship for students interested in supply chain analytics. This is a great opportunity to work with a leading company and gain hands-on experience in data reporting and automation. If you have an interest in data analysis and supply chain management, this internship can help you build valuable skills. Below are the key details of this opportunity:
About Carrier Global Corporation:
Carrier Global is a world leader in intelligent climate and energy solutions. The company is looking for an intern to assist with supply chain reporting, data automation, and project support.
Key Responsibilities:
- Develop Power BI or Excel dashboards for supply chain metrics.
- Report key supply chain data such as material productivity and savings.
- Identify and implement automation solutions for data reporting.
- Support supply chain projects with data analysis.
Requirements:
- Students from Operations, Mechanical, or Electrical backgrounds (preferably with knowledge of supply chain).
- Power BI knowledge (certification preferred).
- Proficiency in Microsoft Office (Excel, Word, PowerPoint).
- Basic knowledge of ERP systems (SAP/Oracle).
- Strong analytical, communication, and interpersonal skills.
Benefits:
- Hands-on experience in supply chain analytics.
- Opportunity to work in a global corporate environment.
- Develop expertise in reporting and process automation.
Location: Gurgaon
4. Unified Mentor – Data Science Intern (Remote, 3 Months, Unpaid)
Unified Mentor is offering a remote data science internship for those who want to work on real-world projects. This is a great opportunity to gain hands-on experience and build a strong portfolio. If you are looking to refine your technical skills and work with industry-relevant data, this internship is perfect for you. Below are the key details of this opportunity:
About Unified Mentor:
Unified Mentor provides aspiring data scientists with real-world projects to refine their technical skills.
Key Responsibilities:
- Collect and preprocess large datasets.
- Develop machine learning algorithms and predictive models.
- Conduct Exploratory Data Analysis (EDA) to extract insights.
- Create data visualization and dashboards.
- Work with cross-functional teams to develop data-driven solutions.
Requirements:
- Enrolled in or graduated from Data Science, Computer Science, or related fields.
- Proficiency in Python or R.
- Experience with scikit-learn, TensorFlow, or PyTorch (preferred).
- Knowledge of Tableau, Power BI, or Matplotlib for visualization.
- Strong problem-solving and teamwork skills.
Benefits:
- Hands-on experience in real-world data science projects.
- Internship certificate & Letter of Recommendation.
- Possibility of full-time job based on performance.
How to Apply:
Send your resume and cover letter with the subject line “Data Science Intern Application.”
Application Deadline: 12th March 2025
5. Pranjali Enterprises – Data Science Intern (Delhi, Noida, 3 Months, Paid ₹10,000-12,000/month)
Pranjali Enterprises is offering a great opportunity for data science interns who want to gain hands-on experience in machine learning and Python. This is a paid internship, making it a perfect choice for students and freshers looking to earn while they learn.Â
If you have a passion for data analysis and financial markets, this internship will help you build real-world skills. Below are the key details of this exciting opportunity:
About Pranjali Enterprises:
Pranjali Enterprises is hiring data science interns who have a strong foundation in Python, AI, and machine learning.
Key Responsibilities:
- Work with the data science team to develop predictive models and algorithms.
- Clean and analyze large datasets to find valuable insights.
Requirements:
- Full-time (in-office) internship.
- Available between 10th Feb’25 and 17th Mar’25 for 3 months.
- Must be from Delhi, Noida, or nearby cities.
- Proficiency in Python and basic understanding of machine learning.
- Familiarity with Pandas, NumPy, and Scikit-learn.
- Interest in financial markets and stock data analysis.
Perks:
- ₹10,000-12,000 stipend per month.
- Certificate & Letter of Recommendation.
- Casual dress code.
Number of Openings: 2
Skills Required for a Data Science Internship
To get a data science internship, you need to have some important skills. These skills will help you work with data, find insights, and solve real-world problems. Here are the key skills required for a data science internship:
- Programming Skills: You should know Python or R for data analysis, machine learning, and automation. Python is widely used because of its simple syntax and powerful libraries.
- Data Analysis & SQL: Understanding how to collect, clean, and analyze data is important. SQL helps in fetching data from databases, filtering it, and preparing it for analysis.
- Machine Learning Basics: Knowing machine learning concepts like regression, classification, and clustering is helpful. Libraries like scikit-learn and TensorFlow make it easier to apply ML models.
- Data Visualization: Tools like Power BI, Tableau, or Matplotlib help in presenting insights clearly. A good data scientist must know how to create dashboards and charts.
- Problem-Solving & Communication: You must be able to analyze data, find patterns, and provide solutions. Strong communication skills help in explaining insights to non-technical teams.
Learning these skills will boost your chances of getting a data science internship.
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Data Science Internships In March FAQs
Q1. What is a Data Science Internship?
Ans: A data science internship is a short-term job where you work on real data, analyze trends, and build machine learning models to gain practical experience.
Q2. Who can apply for a Data Science Internship?
Ans: Students, fresh graduates, or anyone with skills in Python, SQL, data analysis, and machine learning can apply.
Q3. Do I need coding skills for a Data Science Internship?
Ans: Yes, basic knowledge of Python or SQL is usually required for most internships.
Q4. Are Data Science Internships paid?
Ans: Some internships are paid, while others provide only certificates and experience.
Q5. Can I do a Data Science Internship remotely?
Ans: Yes, many companies offer remote internships, allowing you to work from home.
