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Google Internship Data Science Jobs in Alberta (NOW HIRING)

Senior Automation Developer

Calgary, AB · On-site

CA$84K - CA$134K/yr

Google SecOps SOAR, Palo Alto Cortex XSOAR, Splunk SOAR, Microsoft Logic Apps. * Cloud fundamentals ... Amaster's degree in computer science/information securityoranotherrelevant field(asset)

Input and verify data in QA tracking systems (e.g., Google Sheets, QA App, IMT, WMS, Datalit ... Post-secondary education in Biological, Chemical or Food Sciences diploma * 6 Months to 1 year ...

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 ...

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 ...

Showing results 41-60

Google Internship Data Science information

What are the key skills and qualifications needed to thrive as a Google data science intern, and why are they important?

To thrive as a Google Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, typically supported by current enrollment in a relevant degree program. Familiarity with tools like SQL, TensorFlow, and data visualization platforms is commonly expected, along with experience in machine learning frameworks. Strong problem-solving abilities, effective communication, and collaboration skills help interns contribute meaningfully to cross-functional teams. These skills are essential to analyze complex datasets, deliver actionable insights, and succeed in Google's fast-paced, innovative environment.

What types of projects does a data science intern typically work on during a Google internship?

Data Science interns at Google often collaborate on high-impact projects alongside full-time data scientists and engineers. Projects may include analyzing large datasets to identify trends, building machine learning models, or developing data-driven solutions for products and services. Interns are encouraged to contribute ideas, participate in code reviews, and present findings to their teams. This hands-on experience allows interns to gain exposure to Google's tools and methodologies, while also building a strong foundation for future roles in data science.

What is a Google internship in data science?

A Google Internship in Data Science is a temporary, paid position where students or recent graduates work with Google's data science teams. Interns are involved in analyzing large datasets, building machine learning models, and providing insights to improve Google products and services. The internship offers hands-on experience, mentorship, and exposure to real-world data science challenges in a leading tech company. Applicants typically need strong analytical skills, proficiency in programming languages like Python or R, and a background in statistics or computer science.

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

AspectGoogle Internship Data ScienceGoogle Data Analyst Internship
Required SkillsProgramming (Python, R), statistics, machine learning, data modelingData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, research-focused, technical projectsBusiness-oriented, reporting, data interpretation
Industry UsageResearch, product development, machine learning modelsBusiness insights, performance metrics, reporting

Google Internship Data Science roles focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Google Data Analyst Internships emphasize data interpretation, reporting, and visualization for business decisions. Both roles are valuable within Google's data ecosystem but serve different functions based on technical depth and business application.

What job categories do people searching Google Internship Data Science jobs in Alberta look for? The top searched job categories for Google Internship Data Science jobs in Alberta are:
What cities in Alberta are hiring for Google Internship Data Science jobs? Cities in Alberta with the most Google Internship Data Science job openings:

Senior Technology Architect, Enterprise Security Architecture

TELUS

Edmonton, AB • Remote

Other

Posted 15 days ago


TELUS rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

23rd of 97 rated telecommunications companies


Job description

Description

Shape enterprise security across TELUS' transformation & lead architecture decisions that balance security rigor with business velocity

Join our team and what we'll accomplish together

The Enterprise Security Architecture team drives security design across TELUS' critical security domains including IAM, application, data, network, and infrastructure security. We architect solutions spanning MSSP operations, mobile platforms, AI, cloud-modernization, and compliance landscapes while managing large-scale cloud migration and regulatory alignment. You'll develop enterprise patterns and standards that enable secure innovation across these domains while mentoring junior architects.

The Senior Technology Architect will provide enterprise security architecture leadership across large scale transformation programs, cloud adoption initiatives, enterprise platforms, regulatory compliance activities, and security modernization efforts. The position will be responsible for developing and governing enterprise security patterns, reference architectures, and solution level security guidance while ensuring alignment with enterprise standards, risk management practices, and business objectives.

Why This Role Matters

As a major Canadian telecom serving millions, TELUS faces intense regulatory scrutiny, security expectations, and competition. Your architecture decisions directly enable faster, safer digital transformation while protecting customer trust and business continuity.

What you'll do

  • Lead enterprise security architecture activities across strategic programs and initiatives

  • Develop and maintain enterprise security reference architectures, standards, and patterns

  • Provide security architecture guidance for cloud, infrastructure, application, network, and data solutions

  • Conduct architecture and design reviews for major initiatives

  • Partner with delivery teams, infrastructure teams, application teams, and business stakeholders

  • Support risk assessments and security control alignment activities

  • Drive security architecture governance and decision consistency

  • Develop enterprise architecture models, viewpoints, and reusable architectural artifacts using ArchiMate

  • Contribute to the development and maintenance of centralized enterprise architecture repositories and reusable security patterns

  • Mentor and guide junior architects and technical teams

Qualifications

What you bring

  • Bachelor's degree in Computer Science, Engineering, or a related technical discipline

  • 7+ years of enterprise architecture

  • Strong experience with enterprise scale security architecture practices

  • Demonstrated experience developing enterprise architecture models and documentation using ArchiMate

  • Experience developing and maintaining enterprise architecture repositories, reference architectures, and reusable patterns

  • Strong experience with cloud security architecture, with Google Cloud Platform (GCP) experience strongly preferred

  • Strong knowledge of Zero Trust, IAM, network security, data protection, and security governance

  • Strong understanding of regulatory and compliance frameworks

  • Excellent stakeholder management and communication skills

  • Experience supporting large enterprise transformation programs

Great-to-haves

  • CISSP, SABSA, TOGAF, or equivalent certifications

  • Experience within Telecommunications or large enterprise environments

  • Experience with DevSecOps, CI/CD security, and AI security governance

  • Experience establishing enterprise architecture governance and modeling standards

  • Experience applying TOGAF principles and enterprise architecture methodologies in large enterprise environments

Advanced knowledge of English is required because you will most of the time interact in English with external parties (clients, suppliers, candidates, external partners, etc.); interact in English with internal parties (colleagues, internal partners, stakeholders, etc.); and work with IT tools whose interface is only accessible in English as part of this position's main responsibilities given its national scope.

#LI-Remote


What TELUS employees say

Pay

Hours and flexibility

Workplace

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