Posted today · be early
Data Scientist Internship
Metasys
WorldwideremotePosted 1 day ago
Skill Required
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Key highlights
- Stipend: Unpaid initially (performance-based evaluation for paid extension)
- Experience Level: Students or recent graduates
- Work Mode: Remote
- Duration: 3 months
- Key Benefit: Mentorship from experienced data scientists and engineers
- Notable Requirement: Proficiency in Python
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.
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
Requirements
- 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
Nice to have
- 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
Benefits
- 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
Additional 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
- Originally posted on Himalayas
