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Data Science Intern Jobs in Delta, BC (NOW HIRING)

ProCogia

Digital Marketing Intern

Vancouver, BC · On-site

We partner with them by embedding expert data science, engineering, and AI talent directly into ... As an intern, you'll work alongside seasoned marketing and business development professionals and ...

Remitly

Data Scientist II

Burnaby, BC · On-site

CA$128K - CA$144K/yr

A degree in data science, statistics, mathematics, operations research, or related field (or equivalent experience) Compensation Details. The starting base salary range for this position is $128,000 ...

Kiewit Corporation

Data Scientist 2

Vancouver, BC · On-site +1

Qualifications * BS in Computer Science or equivalent. * Proven track record of three years in ... Strong proficiency in Python and experience with data pipeline development. * Must be proficient ...

GHD

Indigenous Engineer Intern/co-op

Vancouver, BC

We are currently seeking an Intern to work with our Design and Project Management groups on First ... Demonstrate an interest in science, engineering, and/or the environment through work, education ...

lululemon

Applied AI/ML Scientist

Vancouver, BC

About this team The Enterprise Data & AI team is a strategic and operational driver of growth for ... science, machine learning, mathematics, or related field, Masters preferred 4-8 years of experience ...

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All JobsData Science Intern JobsData Science Intern Jobs in Delta, BC

Data Science Intern information

See Delta, BC salary details

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$33

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How much do data science intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data science intern in Delta, BC is $33.96, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $40.23 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Delta, BC?

The most popular types of Data Science jobs in Delta, BC are:

What job categories do people searching Data Science Intern jobs in Delta, BC look for?

The top searched job categories for Data Science Intern jobs in Delta, BC are:

What cities near Delta, BC are hiring for Data Science Intern jobs?

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Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Delta, BC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $70,639 per year, or $34 per hour.

AI Intern, Applied & Agentic AI

ProCogia

Vancouver, BC

Full-time, Internship

Posted 7 days ago

Job description

About ProCogia:

We help businesses transform data into real growth!
Our clients operate in high-stakes, highly regulated industries (such as telecom, financial services, life sciences, and more), where precision, compliance, and measurable outcomes are non-negotiable. We partner with them by embedding expert data science, engineering, and AI talent directly into projects that matter.
We're a diverse, close-knit team with a shared goal: delivering top-class, end-to-end data solutions. We don't just analyse data, we push the boundaries of what's possible, helping clients unlock new value and insights.
When you join ProCogia, you'll find a supportive, growth-driven environment where your ideas are welcomed, and your development is prioritized. We offer competitive salaries, generous benefits and perks for personal and professional development.
If you're ready to unleash your potential and work at the cutting edge of data consulting, we'd love to meet you!

The core of our culture is maintaining a high level of cultural equality throughout the company. Our diversity and differences allow us to create innovative and effective data solutions for our clients.

Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership

About ProCogia

ProCogia is a data and AI consulting firm helping organizations turn complex technology challenges into measurable business outcomes. We work with clients across highly regulated and high-stakes industries, including telecommunications, financial services, life sciences, healthcare, and the public sector, where security, governance, reliability, and performance matter.

Our teams combine data science, engineering, AI, analytics, and consulting expertise to build practical, production-ready solutions. We are actively advancing capabilities across generative AI, agentic systems, workflow automation, AI governance, and enterprise AI applications.

At ProCogia, interns work alongside experienced practitioners on meaningful technical problems. You will have the opportunity to experiment, build, challenge assumptions, and contribute directly to internal products and client solutions.


Location: Vancouver (On-site)

Job Summary

We are seeking four AI Interns (Co-op Students) to join our team from September – December 2026. This is a hands-on role for students who want to go beyond AI experimentation and learn what it takes to build AI systems that are reliable enough for real enterprise environments. You will work alongside ProCogia's AI, data science, and engineering teams to design, build, evaluate, and improve AI agents, agentic workflows, RAG systems, and LLM-powered applications. We are looking for curious builders with strong technical fundamentals, an experimentation mindset, and the discipline to test and validate AI outputs rather than trust them blindly.

Key Responsibilities

  • Design, build, test, and improve AI agents and agentic workflows for internal and client-facing solutions.
  • Develop RAG pipelines that provide grounded responses with citations and traceable source information.
  • Integrate commercial and open-source LLMs into applications using APIs, SDKs, and enterprise systems.
  • Apply an evaluation-driven development approach by defining benchmarks, measuring quality, identifying failure modes, and improving system performance.
  • Build AI solutions with observability, auditability, traceability, and human oversight in mind.
  • Develop integrations with APIs, databases, cloud services, and other enterprise technologies.
  • Troubleshoot and improve workflow accuracy, reliability, latency, and overall performance.
  • Apply strong software engineering practices including testing, version control, modular development, and documentation.
  • Experiment with emerging tools and frameworks across AI agents, orchestration, retrieval, and model evaluation.
  • Collaborate with consultants, engineers, and data scientists to turn prototypes into scalable solutions.
  • Share your work through technical documentation, demonstrations, and presentations.
  • You work with technologies such as Python, OpenAI and Anthropic models, open-source LLMs, MCP, LangChain, LangGraph, Langfuse, cloud platforms, and containerized environments. Prior experience with all of these is not expected.


What You Bring

  • Currently enrolled in final year or recently completed a Bachelor's, Master's, or PhD program in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a related field.
  • Strong Python programming skills with solid software development, debugging, testing, and version-control fundamentals.
  • Foundational full-stack experience building frontend, backend, APIs, and integrated application components.
  • Familiarity with React and backend frameworks such as Node.js or FastAPI.
  • Ability to turn AI prototypes into functional, end-to-end applications for real users.
  • Strong problem-solving skills with a systematic approach to evaluating technical solutions and outputs.
  • Ability to learn quickly, navigate ambiguity, and independently work through technical challenges.
  • Clear communication skills with the ability to explain complex technical concepts simply & effectively.
  • High ownership, curiosity, professionalism, attention to detail, and willingness to continuously learn.
  • Hands-on exposure to generative AI, LLMs, AI agents, machine learning, or workflow automation

Nice to Have

Experience with any of the following is an asset, but not required:

  • LLM application development or prompt engineering
  • AI agents or orchestration frameworks
  • Model Context Protocol (MCP)
  • RAG architectures or vector databases
  • AI evaluation and benchmarking
  • Cloud platforms such as AWS, Azure, or GCP
  • Docker or containerized applications
  • Open-source LLMs
  • Building software products, side projects, research projects, or technical prototypes

Deadline for Applications: 25th August 2026

Compensation - $23/hour

ProCogia is proud to be an equal-opportunity employer. We are committed to creating a diverse and inclusive workspace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.