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Google Internship Data Science Jobs in Calgary, AB

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 ...

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 ...

Delivery Engineer - Canada

Calgary, AB · On-site

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 ...

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 ...

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 ...

Showing results 21-40

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.

Infographic showing various Google Internship Data Science job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Lead Knowledge Engineer - Semantic Web Technologies

S&P Global

Calgary, AB • Hybrid

Full-time

Medical, Retirement

Re-posted 6 hours ago


S&P Global rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

About the Role:

Grade Level (for internal use):

12

Segment: S&P GlobalEnterprise Data Organization

S&P GlobalEnterprise Data Organizationisaunified, cross-divisionalteam focused on transformingS&PGlobal'sdata assets.We streamline processes and enhance collaboration by integrating diverse datasets with advanced technologies, ensuring efficient data governance and management.

The Role:Lead Knowledge Engineer

Work Location: Gdansk, Poland, Calgary, Canada, Mexico City, Mexico (hybrid setting: 2 days on site per week), The Netherlands (Virtual), Argentina (Virtual)

The Team:

TheKnowledge Engineeringteam withinDistribution & Data Platforms helps to lead fundamental organizational and operational change driving our linked data, open data, and datagovernancestrategy, both internally and externally. The team partners closely withdataand softwareengineering to envision and build the next generation of data architecture and tooling with modern technologies.

The Impact:

Knowledge Engineeringefforts occur within the broader context of major strategic initiatives to extend market leadership and build next-generation data, insights and analytics products that are powered by our world class datasets.

What'sin it for you:

TheLeadKnowledge Engineerrole is an opportunity to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues.It'sa role with highly visible initiatives andoutsizedimpact. The wider division has a great culture of innovation, collaboration, and flexibility with a focus on delivery. Every person is respected and encouraged to be their authentic self.

Responsibilities:

  • Develop, implement, and continue to enhance ontologies, taxonomies,knowledge graphs, and relatedsemantic artefactsfor interconnected data, as well as topical/indexed query, search, and asset discovery

  • Design and prototypedata/ softwareengineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts andinterconnected datalayerforvariousapplication contexts

  • Provide thought leadership for strategic projects ensuring timelines arefeasible, work is effectively prioritized, and deliverables met

  • Influence the strategic semantic vision, roadmap, and next-generation architecture

  • Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains

  • Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment

  • Influence andparticipatein governance bodies to advocate for the use of established semanticsand knowledge-based tools

Qualifications:

  • Able to communicate complex technical strategies and concepts in a relatable way to both technical and non-technical stakeholders and executives to effectively persuade and influence

  • 5+ years of experience with ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL) and open-source or commercial semantic tools (e.g., VocBench, TopQuadrant, PoolParty, RDFLib, triple stores); Advanced studies in computer science, knowledgeengineering, information sciences,or related discipline preferred

  • 3+ years of experience in advanced data integration withsemantic and knowledge graphtechnologies in complex, enterprise-class, multi-system environment(s); skilled in all phases from conceptualization to optimization

  • Programming skills inamainstream programming language (Python, Java, JavaScript),with experience in utilizing cloud services(AWS, Google Cloud, Azure)is a great bonus

  • Understanding of the agile development life cycle and the broaderdatamanagement discipline (data governance, data quality, metadata management,referenceand master data management)

What's In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity, Discovery, Partnership


Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:

We take care of you, so you cantake care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:

  • Health & Wellness: Health care coverage designed for the mind and body.

  • Flexible Downtime: Generous time off helps keep you energized for your time on.

  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

  • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

  • Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported toreportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activityhere.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to:EEO.Compliance@spglobal.comand your request will be forwarded to the appropriate person.
US Candidates Only:Know Your Rights: Workplace discrimination is illegal

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20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

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