Source description
About the role
About the Internship Join our Data Science team and gain hands-on experience by working on real-world AI and data-driven projects. You'll collaborate with developers and AI engineers to build data pipelines, analyze datasets, develop machine learning models, and contribute to the ZecPath AI platform. Responsibilities - Collect, clean, and preprocess structured and unstructured data. - Perform exploratory data analysis (EDA) and data visualization. - Develop and evaluate Machine Learning models. - Work with Python, Pandas, NumPy, Scikit-learn, and SQL. - Assist in building data pipelines and feature engineering. - Create dashboards and reports using visualization tools. - Collaborate with AI, Backend, and Frontend development teams. - Document findings and present project outcomes. Requirements - Pursuing or recently completed a degree in Computer Science, Data Science, AI, Statistics, or a related field. - Basic knowledge of Python and SQL. - Familiarity with Pandas, NumPy, Matplotlib, and Scikit-learn. - Understanding of statistics and machine learning fundamentals. - Eagerness to learn and solve real-world data problems. - Good analytical and communication skills. What You'll Gain - Hands-on experience with live industry projects. - Exposure to AI, Machine Learning, and Data Engineering workflows. - Mentorship from experienced professionals. - Internship Completion Certificate. - Letter of Recommendation (based on performance). - Prospect for a full-time position based on performance and business requirements. Duration: 3 Months Stipend: Unpaid Certificate: Provided upon successful completion. About the Internship Join our Data Science team and gain hands-on experience by working on real-world AI and data-driven projects. You'll collaborate with developers and AI engineers to build data pipelines, analyze datasets, develop machine learning models, and contribute to the ZecPath AI platform. Responsibilities - Collect, clean, and preprocess structured and unstructured data. - Perform exploratory data analysis (EDA) and data visualization. - Develop and evaluate Machine Learning models. - Work with Python, Pandas, NumPy, Scikit-learn, and SQL. - Assist in building data pipelines and feature engineering. - Create dashboards and reports using visualization tools. - Collaborate with AI, Backend, and Frontend development teams. - Document findings and present project outcomes. Requirements - Pursuing or recently completed a degree in Computer Science, Data Science, AI, Statistics, or a related field. - Basic knowledge of Python and SQL. - Familiarity with Pandas, NumPy, Matplotlib, and Scikit-learn. - Understanding of statistics and machine learning fundamentals. - Eagerness to learn and solve real-world data problems. - Good analytical and communication skills. What You'll Gain - Hands-on experience with live industry projects. - Exposure to AI, Machine Learning, and Data Engineering workflows. - Mentorship from experienced professionals. - Internship Completion Certificate. - Letter of Recommendation (based on performance). - Prospect for a full-time position based on performance and business requirements. Duration: 3 Months Stipend: Unpaid Certificate: Provided upon successful completion.
More at Zecser Business