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Data Science Analyst Intern Jobs in Victoria, BC

Data Engineer II

Victoria, BC

CA$80K - CA$100K/yr

Partner with Data Scientists, Product, and Analytics teams to turn ideas into production-ready data products * Debug, optimise, and continuously improve pipelines through deep root cause analysis

... analysts and our customers. What you will be doing * Own and improve our big data pipelines in AWS ... Work closely with our data scientists and our data engineers in the US East Coast to create and ...

Security Analyst

Victoria, BC · Hybrid

CA$88K - CA$101K/yr

... data, across the entire technology landscape. Must have * A degree or diploma in computer science ... Strong analytical and problemsolving skills to investigate security incidents, assess risks ...

Security Analyst

Victoria, BC · Hybrid

CA$88K - CA$101K/yr

... data, across the entire technology landscape. Must have * A degree or diploma in computer science ... Strong analytical and problemsolving skills to investigate security incidents, assess risks ...

... scientific processes and results. Project Support * Provide statistical expertise and guidance ... Statistical Analysis/Data Collection Planning * Prepare statistical analysis plan and oversee ...

Fisheries Biologist

Victoria, BC · On-site

CA$40 - CA$50/hr

... health data. * Effective analytical and technical editing and review skills, and ability to ensure the delivery of high-quality reports and proposals. * Ability to communicate complex scientific ...

New

Manage diverse, matrixed project teams (Business Analysts, Data Analysts, Clinical teams ... Bachelor's degree in Business, Computer Science, Healthcare, or a related field * Project ...

... data protection * Analyzing requirements for cloud security tools and technology and support ... Bachelor's or master's degree in Information Technology, Computer Science, or a related work ...

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Data Science Analyst Intern information

What does a Data Science Analyst Intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a Data Science Analyst Intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a Data Science Analyst Intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

What is the difference between Data Science Analyst Intern vs Data Analyst Intern?

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What are popular job titles related to Data Science Analyst Intern jobs in Victoria, BC? For Data Science Analyst Intern jobs in Victoria, BC, the most frequently searched job titles are:
What job categories do people searching Data Science Analyst Intern jobs in Victoria, BC look for? The top searched job categories for Data Science Analyst Intern jobs in Victoria, BC are:
Infographic showing various Data Science Analyst Intern job openings in Victoria, BC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, 29% Hybrid, and 14% Remote job distribution.

Other

Posted 2 days ago

New


Job description

Mandate: The Analyst/Statistician advances evidence based decision making across the university by collecting, analyzing, and interpreting data related to enrolment, student success, academic programs, operations, and strategic initiatives. The role leverages modern analytics tools-including Power BI and emerging AI driven technologies-to transform complex information into actionable insights. This position supports institutional planning, accreditation, assessment, and compliance reporting while collaborating with academic and administrative units to strengthen the university's strategic capacity.

Objectives: This position strengthens the university's ability to make informed, strategic decisions. By integrating advanced analytics, Power BI dashboards, and AI driven insights, the Analyst/Statistician helps shape academic planning, improve student outcomes, and ensure accountability to internal and external stakeholders.This position requires a bachelor's degree in education, Statistics, Social Sciences, Data Science, or a related field and 3 years related experience. An equivalent combination of education, training, and experience may be considered

Knowledge, skills, and abilities include: Strong analytical, problem solving, and communication skills. Proficiency with statistical software (e.g., SAS, SPSS, R, Python) and database tools (e.g., SQL). Ability to manage multiple projects and meet deadlines

Collaborative and independent work. High level of attention to detail, clear documentation, and ability to work with sensitive information. Experience with data visualization tools, including Power BI.

Predictive modeling, time series analysis, forecasting. Familiarity with AI assisted analytics tools (e.g., natural language query features, automated insights, predictive modeling platforms) and the curation of results. Preferred Master's degree in a relevant field

Experience in higher education or institutional research, especially in the BC context. Knowledge of student information systems (e.g., Banner). Experience applying AI tools to data analysis, forecasting, or workflow automation

Familiarity with accreditation standards and government reporting requirements.This position requires a bachelor's degree in education, Statistics, Social Sciences, Data Science, or a related field and 3 years related experience. An equivalent combination of education, training, and experience may be considered. Knowledge, skills, and abilities include: Strong analytical, problem solving, and communication skills

Proficiency with statistical software (e.g., SAS, SPSS, R, Python) and database tools (e.g., SQL). Ability to manage multiple projects and meet deadlines. Collaborative and independent work

High level of attention to detail, clear documentation, and ability to work with sensitive information. Experience with data visualization tools, including Power BI. Predictive modeling, time series analysis, forecasting.

Familiarity with AI assisted analytics tools (e.g., natural language query features, automated insights, predictive modeling platforms) and the curation of results. Preferred Master's degree in a relevant field. Experience in higher education or institutional research, especially in the BC context

Knowledge of student information systems (e.g., Banner). Experience applying AI tools to data analysis, forecasting, or workflow automation. Familiarity with accreditation standards and government reporting requirements.