Data Scientist Intern

Job Title: Data Scientist Intern Job ID: 9740 Work Mode: Remote Experience Level: Entry Level (Fresher) Stipend: 8,500 per month About The Role We're looking for a motivated and curious Data Scientist Intern to join our remote team. This internship offers hands-on experience in real-world data projects, from data preprocessing to machine learning and visualization. It's a great opportunity for freshers who want to build a strong foundation in data science and analytics. Key Responsibilities Data Collection & Preprocessing: Gather and clean data from various sources such as databases, APIs, and spreadsheets Exploratory Data Analysis: Analyze data using statistics and visualizations to uncover patterns and insights Machine Learning: Assist in building and evaluating machine learning models for predictive tasks Data Visualization & Reporting: Create reports and dashboards using tools like Tableau, Power BI, Matplotlib, or Seaborn Cross-Functional Collaboration: Work with teams including engineering and product to support data-driven initiatives Documentation: Maintain detailed documentation of data workflows, tools used, and insights generated Continuous Learning: Stay updated with industry best practices and emerging tools in data science What We're Looking For Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or related fields Proficiency in Python or R for data analysis and machine learning Familiarity with Pandas, NumPy, SciPy, and SQL Basic knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch Ability to visualize and interpret data effectively Strong analytical and communication skills Eagerness to learn and grow in a fast-paced environment Eligibility Open to freshers and recent graduates Candidates from all technical and analytical backgrounds are encouraged to apply Note: This is a paid internship.Skills: tableau,machine learning,matplotlib,seaborn,power bi,data analysis,pandas,sql,python,r,scipy,numpy,data visualization,data science