Description

Job Summary Eminent Edu Skills is seeking enthusiastic and motivated Data Science Interns to join our Data Science & Analytics team. This internship is ideal for fresh graduates who want hands-on experience working with real-world datasets, data analysis, and machine learning concepts while being mentored by experienced professionals. Key Responsibilities Assist in data collection, cleaning, and preprocessing activities Perform exploratory data analysis (EDA) to identify trends and patterns Develop data analysis scripts using Python or R Work with SQL to query and manage datasets Support basic machine learning model development and evaluation Create simple data visualizations and reports to present insights Collaborate with team members on analytical tasks and mini-projects Document workflows, analysis steps, and findings clearly Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field Basic knowledge of Python or R Familiarity with data science libraries such as NumPy, Pandas, Scikit-learn Understanding of data visualization using Matplotlib or Seaborn Working knowledge of SQL and database querying Strong analytical, problem-solving, and communication skills Preferred (Nice to Have) Skills Exposure to data visualization tools such as Tableau or Power BI Basic understanding of machine learning concepts Interest in AI, analytics, and data-driven problem solving Who Can Apply Freshers and recent graduates Candidates looking to build a strong foundation in Data Science & Analytics Internship Details Duration: 6 Months Job Type: Full-Time, Internship Work Mode: In-Person Work Location 📍 Pathanamthitta, Kerala

Role and Responsibilities

• Key Responsibilities Assist in data collection, cleaning, and preprocessing activities Perform exploratory data analysis (EDA) to identify trends and patterns Develop data analysis scripts using Python or R Work with SQL to query and manage datasets Support basic machine learning model development and evaluation Create simple data visualizations and reports to present insights Collaborate with team members on analytical tasks and mini-projects Document workflows, analysis steps, and findings clearly