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Job Title: Data Science & Analytics Intern Job ID: 0521 Work Mode: Remote Experience Required: Fresher Stipend: ₹12,000 per month About The Opportunity We are offering an exciting remote internship opportunity for aspiring data professionals to gain hands-on experience in data science, analytics, and business intelligence. This role is ideal for freshers looking to build a strong foundation and apply their skills in real-world scenarios. As a Data Science & Analytics Intern, you will work on impactful projects, collaborate with cross-functional teams, and grow in a fast-paced learning environment. Key Responsibilities Analyze datasets using Python libraries such as Pandas and NumPy Build clear, interactive dashboards using Power BI, Tableau, or similar tools Perform exploratory data analysis (EDA) to identify key trends and insights Work with teams to translate business needs into data-driven solutions Support the development of machine learning models and data pipelines Present findings effectively through reports, visuals, and presentations Required Skills & Qualifications Basic proficiency in Python, particularly with Pandas and NumPy Familiarity with data visualization tools like Power BI or Tableau Understanding of statistical concepts and machine learning basics Experience with data cleaning, transformation, and analysis techniques Strong analytical and communication skills Ability to manage time and work effectively in a remote setup Eligibility Open to freshers and candidates from any academic background with a keen interest in data Perks And Benefits Certificate of Completion and Letter of Recommendation Flexible working hours Exposure to live projects and industry practices Opportunity to be considered for a full-time role based on performance Note: This is a paid internship.Skills: data transformation,tableau,time management,numpy,power bi,data science,python,statistical concepts,data analysis,data cleaning,communication skills,pandas,analytical skills,machine learning basics,data visualization Show more Show less
