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

ProCogia

LLM Research Intern

Vancouver, BC · On-site

We partner with them by embedding expert data science, engineering, and AI talent directly into ... At ProCogia, interns work alongside experienced practitioners on meaningful technical problems and ...

Later

Data/Analytics Co-op

Vancouver, BC

CA$4.0K/mo

Currently pursuing an undergraduate degree or diploma in Computer Science, Data Science, Statistics ... internships, or prior co-op experience is a plus. How you work: * Driven by Impact: You deliver ...

ProCogia

Content Marketing Intern

Vancouver, BC · On-site

We partner with them by embedding expert data science, engineering, and AI talent directly into ... Interns get real responsibility, a personal development mindset, mentorship from experienced ...

Link Logistics

Engineer, Software

Vancouver, BC

CA$185K - CA$225K/yr

Lead by doing - mentor contractors and interns, set a high standard through code reviews, and bring ... Experience building ML-powered application workflows and integrating data science outputs

NumerixS Quant

Quantitative Developer

Vancouver, BC · On-site

$80 - $120/hr

We are a data-driven company with a collegial atmosphere looking for team members who can do great ... science graduates. We are looking for people with critical thinking and research skills who also ...

TELUS

Dietitian

Vancouver, BC · On-site

Reviewing and assessing relevant laboratory data * Conducting a thorough history of food/diet ... University Degree in Nutritional Science (dietetics) * Dietetic Internship in a public or private ...

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

Data Science Internship information

What types of projects or tasks can I expect to work on during a data science internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

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

Cities near Delta, BC with the most Data Science Internship job openings:

Data Science Internship jobs near you

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.