Job Category: Data Science & AI/ML
Salary: Not Disclosed
Job Experience: Freshers Internship
Job Type: Internship
Job Location: All location Remote
Company: InternshipTech
Location: Remote
Duration: 3-6 months
Stipend: Unpaid
About the Role
Are you passionate about data science and eager to work on real-world projects involving data analysis, machine learning, and predictive modeling? We are looking for a Data Scientist Intern to join our team and gain hands-on experience in data wrangling, statistical analysis, and AI-driven insights. This is a great opportunity for students and recent graduates to enhance their skills in data science while working alongside industry professionals.
Key Responsibilities
- Collect, clean, and preprocess structured and unstructured data
- Perform exploratory data analysis (EDA) and data visualization using tools like Pandas, Matplotlib, and Seaborn
- Build and evaluate machine learning models using Scikit-learn, TensorFlow, or PyTorch
- Work with big data tools like Apache Spark or Hadoop (if applicable)
- Optimize models for accuracy, performance, and scalability
- Assist in natural language processing (NLP), time series forecasting, or deep learning projects
- Collaborate with the team to extract data-driven insights and present findings
Requirements
- Currently pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
- Strong understanding of Python and data science libraries (NumPy, Pandas, Scikit-learn, etc.)
- Basic knowledge of SQL for data querying and manipulation
- Understanding of machine learning concepts and statistical methods
- Strong problem-solving and analytical skills
- Ability to work independently and as part of a team
- Good communication and visualization skills
Preferred Skills (Not Required but a Plus)
- Experience with deep learning frameworks like TensorFlow or PyTorch
- Familiarity with cloud platforms (AWS, Google Cloud, or Azure) for AI/ML deployment
- Knowledge of NLP, computer vision, or recommender systems
- Hands-on experience with big data tools (Spark, Hadoop, or Databricks)
- Previous internship or project experience in data science
What You Will Gain
- Hands-on experience with data analysis, machine learning, and AI-driven solutions
- Exposure to real-world data science challenges and industry projects
- Internship certificate upon successful completion
- Mentorship and guidance from experienced data scientists
- Potential opportunity for a full-time role based on performance
How to Apply
Send your updated resume and a brief cover letter to resume@internshiptech.com with the subject “Data Scientist Intern Application – [Your Name]”.
Start your data science journey and gain valuable industry experience.