Data Science Intern
Skillzenloop · India
- Hybrid
- Full-time
- ₹228,000 / year
- India
Job highlights
- Analyze data and build predictive models.
- Gain hands-on data science project experience.
- Develop skills with Python and machine learning.
- Receive mentorship from industry professionals.
- Work remotely on real-world business problems.
About the role
About Skillzenloop
Skillzenloop is a growing skill development and training organization dedicated to bridging the gap between academic learning and industry requirements. We offer structured internship programs, real-world projects, and mentorship to help candidates build job-ready skills in data analytics, technology, and business domains.
Role Overview
We are looking for a Data Science Intern who is passionate about analyzing data, building models, and deriving actionable insights. This role provides hands-on exposure to data science workflows and real-world problem solving.
Key Responsibilities
- Aggregate and preprocess data from diverse sources for analysis
- Perform statistical analysis to uncover trends and correlations
- Develop basic predictive or classification models
- Create visualizations and analytical summaries for stakeholders
- Work with Python libraries such as pandas, NumPy, and scikit-learn
- Assist in translating business problems into data solutions
- Document methodologies, experiments, and outputs
Required Qualifications
- Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field
- Strong knowledge of Python programming
- Basic understanding of machine learning algorithms
- Familiarity with data visualization tools
- Understanding of statistics and probability concepts
- Strong analytical and problem-solving skills
- Ability to work independently in a remote setup
Preferred Skills
- Experience with data science projects or coursework
- Familiarity with TensorFlow or PyTorch
- Basic knowledge of SQL
What You Will Gain
- Hands-on experience in data science and analytics projects
- Exposure to real-world datasets and workflows
- Mentorship from experienced professionals
- Opportunity to enhance technical and analytical skills
- Certificate of completion based on performance
Skillzenloop is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all interns.
Key skills/competency
- Data Science
- Python
- Machine Learning
- Data Analysis
- Data Visualization
- Statistical Analysis
- Predictive Modeling
- Problem Solving
- SQL
- Pandas
Skills & topics
- Data Science Intern
- Data Analysis
- Python
- Machine Learning
- Statistical Analysis
- Data Visualization
- Predictive Modeling
- Internship
- Remote Work
- Skill Development
How to get hired
- Tailor your resume: Highlight relevant Python, machine learning, and data analysis skills for the Data Science Intern role.
- Showcase projects: Include any data science coursework, personal projects, or previous internship experiences that demonstrate your capabilities.
- Prepare for technical questions: Brush up on Python, statistical concepts, and basic machine learning algorithms.
- Demonstrate remote work readiness: Emphasize your ability to work independently and manage your time effectively.
- Express passion: Convey your enthusiasm for data science and Skillzenloop's mission in your application and interviews.
Technical preparation
Practice Python coding challenges.,Review fundamental machine learning algorithms.,Understand statistical concepts and probability.,Build simple data visualizations.
Behavioral questions
Describe a data problem you solved.,How do you manage remote work tasks?,How do you handle project challenges?,Why are you interested in data science?
Frequently asked questions
- What are the key responsibilities for a Data Science Intern at Skillzenloop?
- As a Data Science Intern at Skillzenloop, you will aggregate and preprocess data, perform statistical analysis, develop basic predictive models, create visualizations, and work with Python libraries like pandas and scikit-learn to translate business problems into data solutions. You will also document your methodologies and outputs.
- What qualifications are required for the Data Science Intern position at Skillzenloop?
- To be considered for the Data Science Intern role, you must be pursuing or have completed a degree in Data Science, Computer Science, Statistics, or a related field. Strong Python programming skills, a basic understanding of machine learning algorithms, familiarity with data visualization tools, and solid analytical skills are essential. You also need to be comfortable working independently in a remote environment.
- What specific Python libraries will a Data Science Intern use at Skillzenloop?
- A Data Science Intern at Skillzenloop will primarily work with Python libraries such as pandas for data manipulation, NumPy for numerical operations, and scikit-learn for machine learning algorithms and model development.
- Does Skillzenloop offer opportunities for learning and development for their Data Science Interns?
- Yes, Skillzenloop offers significant learning opportunities. Interns gain hands-on experience with real-world data science projects, receive mentorship from experienced professionals, and have the chance to enhance their technical and analytical skills. A certificate of completion is also awarded based on performance.
- Is the Data Science Intern position at Skillzenloop a paid internship?
- Yes, the Data Science Intern position at Skillzenloop includes a stipend of ₹19,000 per month.
- What is the duration of the Data Science Internship at Skillzenloop?
- The Data Science Internship at Skillzenloop has a flexible duration ranging from 1 to 3 months, depending on the program structure and intern's availability.
- What preferred skills are beneficial for the Data Science Intern role at Skillzenloop?
- While not strictly required, preferred skills for the Data Science Intern role include experience with data science projects or coursework, familiarity with deep learning frameworks like TensorFlow or PyTorch, and basic knowledge of SQL for data querying.