Metasys
Skills: Python, SQL
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.
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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…
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