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Data Science Internship Cpt Jobs in Calgary, AB (NOW HIRING)

DataVisor

Delivery Engineer - Canada

Calgary, AB · Remote

CA$80K - CA$120K/yr

Bachelor's degree in Computer Science, Engineering or a related field is required; a Master ... data technologies, or machine learning through coursework, internships, or project experience is a ...

DataVisor

Delivery Engineer - Canada

Calgary, AB

CA$80K - CA$120K/yr

Bachelor's degree in Computer Science, Engineering or a related field is required; a Master ... data technologies, or machine learning through coursework, internships, or project experience is a ...

Onterris

Workday Analyst - Financials & Projects

Calgary, AB · On-site +1

CA$85K - CA$100K/yr

Prior exposure to Workday or another ERP system (through coursework, an internship, or on-the-job ... unites science, data and practical expertise to deliver solutions that strengthen our clients ...

Cenovus

Software and AI Developer

Calgary, AB · On-site

Interested in starting your AI & Software Development career at the intersection of AI, data, and ... Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, or an equivalent ...

All JobsData Science Cpt JobsData Science Internship Cpt JobsData Science Internship Cpt Jobs in Calgary, AB

Data Science Internship Cpt information

What is a Data Science Internship CPT?

A Data Science Internship CPT (Curricular Practical Training) is a temporary work authorization for F-1 international students in the U.S., allowing them to gain practical experience in data science while enrolled in a degree program. The internship must be directly related to the student's major and typically offered through a cooperative agreement between the employer and the educational institution. CPT is usually part-time during the academic year and can be full-time during breaks, but using full-time CPT for 12 months or more may affect eligibility for Optional Practical Training (OPT).

What types of projects and collaboration opportunities can I expect during a Data Science Internship CPT?

During a Data Science Internship CPT, you can expect to work on real-world data projects such as data cleaning, exploratory analysis, model development, and visualization tasks. Interns often collaborate closely with data scientists, engineers, and product managers, gaining exposure to cross-functional teamwork. You may also participate in meetings, present findings, and contribute to solving business challenges using data-driven approaches. This environment fosters both technical skill development and professional growth, providing valuable experience for future roles in the field.

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

To thrive as a Data Science Internship CPT, you typically need foundational knowledge in statistics, programming (usually Python or R), and data analysis, often supported by ongoing studies in computer science or a related field. Familiarity with tools such as Jupyter Notebook, SQL databases, and machine learning libraries like scikit-learn or TensorFlow is highly valuable. Strong problem-solving skills, curiosity, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for contributing meaningfully to data-driven projects and learning effectively during the internship.

What is the difference between Data Science Internship Cpt vs Data Analyst Internship Cpt?

AspectData Science Internship CptData Analyst Internship Cpt
Required CredentialsTypically requires coursework in statistics, programming, and data analysis; sometimes a related degreeSimilar requirements, often focusing on data analysis and visualization skills
Work EnvironmentInvolves data modeling, machine learning, and predictive analytics in tech or finance sectorsFocuses on data cleaning, reporting, and visualization in various industries
Employer & Industry UsageUsed by tech companies, finance, and consulting firms for data-driven projectsCommon across multiple industries including marketing, healthcare, and retail

While both internships involve working with data, Data Science Internship Cpt emphasizes machine learning and predictive modeling, whereas Data Analyst Internship Cpt focuses on data visualization and reporting. Both roles require similar foundational skills but differ in their technical depth and application areas.

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Data Science Internship Cpt jobs near you

Data Science and Analytics Co-op Student

Washington Gas Light Co.

Calgary, AB

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Washington Gas Light rating

8.0

Company rating: 8.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Job Description

# of Positions: 1

Duration: 8-12 Months

Start: September

About the Role

Interested in using data to help drive business decisions?

AltaGas is seeking a Data Science and Analytics Co-op Student to join our Operations Planning & Analysis team. In this role, you'll support budgeting, forecasting, workforce planning, reporting, and analytics initiatives that help business leaders make informed decisions across the organization.

You will work with operational, workforce, and financial data to identify trends, develop insights, and support planning activities. This role is ideal for students who enjoy working with data, solving problems, building reports and dashboards, and collaborating with stakeholders to turn information into meaningful business insights.

Working closely with Operations, Engineering, Finance, and Corporate teams, you'll gain hands-on experience supporting strategic planning and continuous improvement initiatives across the business.

What You'll Do

Reporting & Analytics

  • Support the maintenance, validation, and enhancement of Power BI dashboards and reports.

  • Create visualizations, summaries, and presentations that communicate key business insights to leadership teams.

  • Assist in identifying and investigating reporting discrepancies and data quality issues.

  • Maintain reporting documentation, business definitions, and data dictionaries.

  • Help prepare recurring operational and management reporting packages.

  • Document business processes and workflows using Microsoft Visio to support process mapping, standardization, and continuous improvement initiatives.

Budgeting & Forecasting

  • Support annual budgeting and long-range planning processes.

  • Assist in gathering, compiling, and organizing inputs from stakeholders across the organization.

  • Maintain planning templates, documentation, and supporting analysis.

  • Perform variance analysis to identify trends, risks, and opportunities.

  • Support projects that connect operational performance drivers to financial outcomes.

Workforce Planning & Business Insights

  • Maintain workforce and headcount tracking files.

  • Reconcile employee and contractor data across multiple systems.

  • Analyze vacancy trends, workforce metrics, and organizational data.

  • Support ad hoc analysis and reporting requests from business leaders.

  • Contribute to continuous improvement initiatives that enhance reporting, planning, and analytics processes.

What You'll Bring

  • Currently enrolled in a post-secondary degree program in Data Science, Business Analytics, Data Analytics, Statistics, Mathematics, Management Information Systems (MIS), Computer Science, Economics, or a related analytical discipline.

  • Experience using Microsoft Excel, including Pivot Tables, XLOOKUP/VLOOKUP, SUMIFS, and data validation.

  • Experience with Power BI, dashboard development, data visualization, reporting tools, or similar analytics platforms.

  • Strong analytical and critical-thinking skills with the ability to identify trends, patterns, and business insights.

  • Comfortable working with data from multiple sources and validating information for accuracy.

  • Curiosity and a desire to understand the "why" behind the data.

  • Strong verbal and written communication skills.

  • Excellent interpersonal, collaboration, and relationship-building skills.

  • Ability to work effectively with stakeholders across different teams and levels of the organization.

  • Strong organizational skills and attention to detail.

What You'll Gain

  • Hands-on experience supporting budgeting, forecasting, workforce planning, and business analytics initiatives.

  • Exposure to strategic planning and decision-making processes within a large energy infrastructure company.

  • Experience working with Power BI, Excel, reporting tools, and business datasets.

  • Opportunities to collaborate with professionals across Operations, Engineering, Finance, and Corporate functions.

  • Mentorship from experienced professionals and opportunities to build your professional network.

  • Meaningful project work that directly supports business performance and operational decision-making.

#LI-INTERNS

For Canadian hires: AltaGas hires personnel on the basis of job-related qualifications. All qualified applicants will receive consideration without regard to a person's ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity or expression, age, record of offences, marital status, family status or disability or any other characteristic protected by applicable law.

For U.S. hires: WGL/SEMCO/AltaGas offers a total rewards package that includes competitive pay, incentive bonus plans, holiday pay, 401K matching and a wide array of benefits. These benefits including medical, dental and vision coverage are designed to help you and your family stay healthy. We also have paid time off (PTO) to balance the demands of your work and personal life. Available benefits vary depending upon the specifics of the role.

U.S. affiliates of AltaGas are committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, ethnicity, religion, gender, age, national origin, marital status, sexual orientation, gender identity, family responsibilities, matriculation, physical or mental disabilities, political affiliation, genetic information, status as a protected veteran or any other characteristic protected by federal, state, or local law.

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