Data Science Intern 📊

Job Summary

Are you curious about turning data into insights and building real-world AI solutions? Join us as a Data Science Intern and work with data that matters. You’ll explore datasets, build models, and contribute to data-driven decision-making while learning from experienced data scientists. This is a perfect opportunity to sharpen your analytics, machine learning, and programming skills in a startup environment.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple sources.
• Build and evaluate predictive models using machine learning techniques.
• Assist in developing dashboards, reports, and data visualizations for key stakeholders.
• Perform exploratory data analysis (EDA) to find trends, patterns, and insights.
• Document processes, results, and code for reproducibility.
• Collaborate with developers and business teams to integrate models into products.
• Stay updated with the latest data science tools, frameworks, and research papers.

Required Skills

• Technical Skills:
  • Strong knowledge of Python (NumPy, Pandas, Matplotlib/Seaborn)
  • Basic understanding of statistics, probability, and hypothesis testing
  • Familiarity with machine learning libraries (Scikit-learn, TensorFlow, or PyTorch)
  • Experience working with Jupyter Notebooks
  • Understanding of SQL for data querying
• Soft Skills:
  • Analytical thinking and attention to detail
  • Eagerness to learn and experiment with data
  • Ability to work independently and in a team

Preferred Qualifications

• Experience with data visualization tools (Tableau, Power BI, or Looker)
• Familiarity with big data tools (Hadoop, Spark)
• Knowledge of cloud platforms (AWS Sagemaker, Google Cloud AI, Azure ML)
• Participation in Kaggle competitions or personal data projects (share GitHub/portfolio link!)

Benefits & Perks

• Hands-on experience working with real-world data and live projects
• 1:1 mentorship from experienced data scientists and engineers
• Flexible work hours and remote-friendly setup
• Certificate of completion + Letter of Recommendation (performance-based)
• Opportunity for full-time employment based on performance

Internship Details

• Duration: 3–6 months
• Location: Remote / Hybrid (if applicable)
• Stipend: Based on project contribution (if offered)
• Start Date: Immediate / Flexible