InternshipExternal listing
DATA SCIENTIST - INTERN
Matsci AiData ScienceRemotePosted September 30, 2026
About this role
About the Role
Matsci Ai is seeking a motivated Data Scientist Intern to join our growing data science team. This is a fully remote position open to candidates with 0-1 years of experience who are passionate about applying machine learning and statistical analysis to real-world problems. As an intern, you will work closely with senior data scientists and engineers to build, evaluate, and deploy predictive models that drive product decisions.
Key Responsibilities
- Assist in data collection, cleaning, and preprocessing from diverse sources.
- Conduct exploratory data analysis to uncover patterns and insights.
- Develop and test machine learning models using Python (scikit-learn, TensorFlow, or PyTorch).
- Participate in model evaluation, hyperparameter tuning, and validation.
- Collaborate with cross-functional teams to integrate models into production pipelines.
- Document methodologies, experiments, and results clearly.
What We Offer
- Mentorship from experienced data scientists.
- Exposure to end-to-end ML lifecycle in a fast-paced startup environment.
- Flexible working hours and remote-first culture.
- Opportunity to convert to a full-time role based on performance.
If you are eager to learn, have a strong foundation in statistics and programming, and want to make an impact with data, we encourage you to apply.
Requirements
- Pursuing or completed Bachelor's/Master's in Computer Science, Statistics, Mathematics, or related field.
- Proficiency in Python and SQL.
- Solid understanding of statistical concepts (hypothesis testing, regression, probability).
- Hands-on experience with ML libraries (scikit-learn, pandas, NumPy).
- Familiarity with version control (Git) and Jupyter notebooks.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Prior internship or project experience in data science is a plus.
Quick Info
Employment Type
Internship
Location
Remote
Department
Data Science
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