Data Scientist Internship

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