Data Science Intern

Data Science Intern — Canada | Remote Position Overview We are hiring on behalf of our client for a Data Science Intern to support data-driven initiatives involving analysis, statistical modeling, experimentation, and predictive insights. This remote opportunity is suited to candidates who are interested in applying data science concepts to practical business and technology challenges while working with structured and unstructured datasets. Key Responsibilities Assist in collecting, cleaning, organizing, and preparing datasets for analysis and modeling. Explore datasets to identify trends, relationships, anomalies, and meaningful business patterns. Develop and evaluate statistical and machine learning models under the guidance of experienced team members. Support the creation of predictive solutions for business and operational use cases. Conduct exploratory data analysis and communicate findings through clear visualizations and reports. Help assess model performance using appropriate evaluation methods and contribute to improving results. Work with different data sources and assist in transforming raw information into analysis-ready datasets. Document analytical approaches, assumptions, findings, and results in a clear and structured manner. Collaborate with cross-functional teams to understand requirements and translate business questions into data-focused solutions. Stay informed about relevant developments in data science, machine learning, and analytical methodologies. Qualifications Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline. Understanding of fundamental concepts in statistics, probability, data analysis, and machine learning. Familiarity with Python and commonly used data science libraries. Basic knowledge of SQL and relational databases. Ability to work with datasets and interpret analytical results accurately. Strong problem-solving and logical reasoning abilities. Good written and verbal communication skills. Comfortable working independently in a remote environment while collaborating with a distributed team. Strong attention to detail and willingness to learn new methodologies and technologies. What You’ll Work On Real-world datasets and analytical challenges. Exploratory and predictive data analysis. Machine learning model development and evaluation. Data visualization and insight generation. Data preparation and transformation workflows. Documentation and presentation of analytical findings. What You’ll Receive Practical exposure to data science workflows and industry-oriented projects. Opportunities to strengthen analytical and problem-solving abilities. Experience collaborating in a professional remote work environment. Exposure to real-world data-driven decision-making. Professional development opportunities and project-based learning.

The intern will support data-driven initiatives by collecting, cleaning, and analyzing datasets to identify business patterns. They will develop and evaluate machine learning models and communicate findings through visualizations and reports.

Candidates should be pursuing or have completed a degree in Data Science, Computer Science, Statistics, or a related field. Proficiency in Python, SQL, and fundamental statistical concepts is required.

• Practical exposure to data science workflows • Professional development opportunities • Project-based learning

• Data visualizationPreferred
• SQLPreferred
• Data analysisPreferred
• Machine learningPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Machine Learning
• Statistical Modeling
• Data Analysis
• Data Visualization
• Exploratory Data Analysis
• Relational Databases
• Data Cleaning
• Predictive Modeling

• Data & Analytics
• Technology
• Science & Research
• Software
• Consulting

Minimum education

Bachelor’s degree

Minimum experience

0+ years

Posting language

English

Working hours

40 hours per week

Seniority

Not Applicable

Application method

Direct apply is available