Role Overview We are seeking a curious and analytical Data Scientist Intern to support data-driven decision-making across business and technology teams. This internship offers hands-on experience working with real-world datasets, building analytical models, and translating data insights into actionable outcomes. This role is ideal for students or recent graduates looking to build a strong foundation in data science, analytics, and applied machine learning. Internship Details • Duration: 3 months, with potential extension based on performance • Work Mode: Remote • Stipend: Unpaid initially; performance-based evaluation in the first quarter may lead to a paid internship extension or full-time opportunity • Working Hours: 8 hours per day Key Responsibilities • Collect, clean, and preprocess structured and unstructured data • Perform exploratory data analysis (EDA) to identify trends and patterns • Assist in building and validating statistical and machine learning models • Create data visualizations and dashboards to communicate insights • Support data-driven decision-making through reports and presentations • Collaborate with engineering, product, and business teams • Document methodologies, findings, and outcomes Required Skills & Qualifications • Currently pursuing or recently completed a degree in: • Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field • Strong understanding of statistics and data analysis fundamentals • Proficiency in Python • Experience with libraries such as Pandas, NumPy, Matplotlib, Seaborn • Basic knowledge of SQL • Strong analytical and problem-solving skills Preferred / Technical Skills • Familiarity with machine learning algorithms and workflows • Exposure to Scikit-learn, TensorFlow, or PyTorch • Experience with data visualization tools (Tableau, Power BI, or similar) • Knowledge of version control systems (Git) • Understanding of data pipelines and ETL concepts What You Will Gain • Hands-on experience with real-world datasets and business problems • Practical exposure to data science and analytics workflows • Mentorship from experienced data scientists and engineers • Experience collaborating with cross-functional teams • Certificate of Internship Completion upon successful completion • Opportunity for paid or full-time conversion based on performance Originally posted on Himalayas