Data Science & Machine Learning Intern

**Job Title:**  Data Science \& Machine Learning Intern **Company:**  WoRisGo **Internship Type:**  Work From Home **Duration:**  2 Months **Stipend:**  ₹2,000 – ₹20,000 per Month **Working Days:**  5 Days per Week **About the Opportunity** Job Nexus India is hiring for its client, WoRisGo, for the role of Data Science \& Machine Learning Intern. This internship is ideal for students interested in data science, machine learning, and artificial intelligence, offering hands-on experience with real-world datasets and AI-driven projects. **Key Responsibilities** * Assist in data collection, cleaning, and preprocessing for machine learning models * Support the development and implementation of machine learning algorithms * Conduct exploratory data analysis (EDA) to identify trends and patterns * Collaborate with senior data scientists for model evaluation and validation * Help build and maintain data pipelines * Research and apply new machine learning techniques and methodologies * Document project findings, methodologies, and code * Assist in data visualization and reporting of model results * Participate in team discussions and project meetings **Eligibility** * Undergraduate or postgraduate students * Students from engineering, management, arts, commerce, science, law, or medical backgrounds * Candidates interested in data science, analytics, and machine learning **Skills Preferred** * Basic knowledge of Python, statistics, or machine learning concepts * Interest in data analysis, AI, and predictive modeling * Analytical thinking and problem-solving ability * Good communication and teamwork skills **Perks \& Benefits** * Job Offer opportunity * Certificate of Completion * Letter of Recommendation * Flexible working hours * Hybrid working opportunities * Counselling support * Pre-Placement Offer opportunity **About Job Nexus India** Job Nexus India is a staffing and recruitment firm that supports organizations by managing their hiring requirements. We partner with client companies to identify suitable candidates and facilitate a structured, transparent, and efficient recruitment process.