The Role Support data-driven decision-making by collecting, cleaning, and analyzing structured and unstructured data, performing EDA, assisting in building and validating ML and statistical models, creating visualizations and dashboards, documenting findings, and collaborating with cross-functional teams. Summary Generated by Built In 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 Read Full Description Skills Required 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 Pandas, NumPy, Matplotlib, Seaborn Basic knowledge of SQL Strong analytical and problem-solving 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 View all jobs at Metasys View Metasys Profile Report Job