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- Employment type
- Volunteer, Internship / apprenticeship
- Experience level
- Entry, Junior · 0+ years
- Apply by
- Oct 30, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Internship
Job summary
Handle and analyze data using Python, NumPy, and pandas, and apply machine learning methods including supervised learning, decision trees, ensemble methods, clustering, and principal component analysis. Build dashboards with Streamlit, collaborate using Git, support deployment, and complete a capstone project.
Job details
Last Date Of Application : 2026-06-30 Job Type : Internship Valin Solutions Limited, Data Science Intern Required Experience : 0-1 (Students who are currently doing any IT related course in Canada can also Apply) Apply Now Job Description This internship will provide an opportunity to work in a busy IT firm aiming to gain knowledge about Data Science and look at further opportunities for growth. As a Data Science Intern, you will be responsible to perform the following tasks: Python Programmin Data handling Data Analysis with NumPy Univariate Analysis with pandas Multivariate Analysis with pandas Supervised Learning Decision Trees and Ensemble methods Clustering algorithms Principal Component Analysis Cross-validation techniques Dashboards with Streamlight Collaborating with Git Deployment Capstone Project Performance based Stipend will be provided About Company Valin Solutions Limited, an IT company registered in the Canada since 2022, is bringing next-generation innovation and value to Managed IT services, delivered seamlessly through our prompt end-to-end solutions and global service delivery channels. Our parent company, IPSR Solutions Limited, is a leading EdTech company that has been globally recognised as an outstanding training provider in Open Source technologies. IPSR has 37 awards—national and international—from Red Hat, the world’s leading open source provider. We have mentored 100K+ students from 50+ countries over the last two decades.
What you’ll do
Handle and analyze data using Python, NumPy, and pandas, and apply machine learning methods including supervised learning, decision trees, ensemble methods, clustering, and principal component analysis. Build dashboards with Streamlit, collaborate using Git, support deployment, and complete a capstone project.
Requirements
The internship is intended for candidates with 0–1 years of experience; students currently taking an IT-related course in Canada may also apply. No specific degree or other formal education requirement is stated.
Listed skills
- Data analysis · Preferred
- Git · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python Programming
- Data Handling
- Data Analysis
- NumPy
- Pandas
- Univariate Analysis
- Multivariate Analysis
- Supervised Learning
- Decision Trees
- Ensemble Methods
- Clustering Algorithms
- Principal Component Analysis
- Cross-Validation
- Streamlit Dashboards
- Git
- Deployment
Job areas
- Data & Analytics
- Technology
- Software
- Science & Research