Data Science Freshers / Graduates Remote / Telecommute

Junior Data Science & Analytics Intern

Opportunity for aspiring Data Scientists to clean datasets, build predictive ML models, and visualize business analytics using Python, Pandas, and Scikit-Learn.

Key Responsibilities & Tasks

  • Clean, transform, and analyze structured datasets using Pandas and NumPy.
  • Build baseline machine learning models (Regression, Classification, Clustering).
  • Create analytics charts and business reporting dashboards.

Required Skills & Qualifications

  • Familiarity with Python syntax and basic statistics.
  • Interest in data analysis, machine learning algorithms, and SQL.
  • Analytical mindset with attention to data accuracy.

Data Science & Predictive Analytics Roadmap

Every trainee at CACTS undergoes our structured 1-to-1 developer mentorship protocol to ensure direct transition from academic concepts to production-grade engineering workflows.

Phase 1

1-to-1 Exploratory Data Analysis & Pandas Pipelines

Phase 2

Scikit-Learn Machine Learning & Model Evaluation

Phase 3

Feature Engineering & Statistical Hypothesis Testing

Phase 4

Production Model API Deployment & Verification

Explore our Live Projects Internship Program, check the 1-to-1 Technical Syllabus, or verify credentials via our ISO 29993:2017 Certificate Verification Portal.

Looking to break into Data Science & AI?

Take our 1-to-1 Data Science & ML Course to master Pandas, NumPy, Scikit-Learn, SQL, and predictive analytics on real datasets.

Explore Data Science & Machine Learning Course >

Apply for this Position

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