Data Science Internship

Data Science Internship – Winnipeg (Hybrid)
Job ID: J‑18808‑Ljbffr

Location: Winnipeg, MB (Hybrid – on‑site & remote)
Duration: September – December (4 months)
Eligibility: Undergraduate students (full‑time) enrolled in a Data Science, Computer Science, Statistics, Applied Mathematics, or related program.

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About the Role

Join our fast‑growing analytics team and dive into real‑world data projects that directly shape business strategy. This hands‑on internship blends data engineering, analytics, and model deployment in a supportive, collaborative environment. You’ll work side‑by‑side with senior data scientists and engineers, turning raw data into actionable insights while sharpening your technical toolkit.

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What You’ll Do

• Data Preparation & Management

  • Build and maintain clean, well‑documented datasets from multiple sources (SQL databases, APIs, flat files, cloud storage).
  • Write efficient SQL queries and Python scripts for data extraction, transformation, and loading (ETL).

• Analytics & Insight Generation

  • Conduct exploratory data analysis to uncover trends, patterns, and business opportunities.
  • Produce operational dashboards and reports that translate complex findings into clear, actionable recommendations.

• Model Development & Deployment

  • Assist in the design, training, and validation of predictive/diagnostic models.
  • Collaborate with the engineering team to package models for production (e.g., Docker, CI/CD pipelines).

• Testing & Documentation

  • Participate in unit‑ and integration‑testing of data pipelines and analytical solutions.
  • Maintain thorough documentation in Git repositories, ensuring reproducibility and knowledge sharing.

• Team Collaboration

  • Contribute to agile ceremonies (stand‑ups, sprint planning, retrospectives).
  • Work closely with cross‑functional stakeholders (product, marketing, finance) to align analytics with business goals.

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What We’re Looking For

Requirement	Desired Experience
Academic Background	Enrolled in a Data Science, Computer Science, Statistics, or related undergraduate program.
Programming & Query Languages	Proficient in Python (pandas, NumPy, scikit‑learn) and SQL.
Version Control	Comfortable using Git for collaborative development.
Reporting & Visualization	Experience with Power BI, Tableau, or similar tools (a plus).
Cloud Exposure	Familiarity with Azure, AWS, or GCP services (e.g., storage, compute, ML platforms) is a bonus.
Soft Skills	Strong analytical mindset, problem‑solving ability, and teamwork orientation.

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What You’ll Gain

• Technical Growth: Hands‑on experience with end‑to‑end data pipelines, model lifecycle management, and cloud‑based analytics.
• Business Acumen: Direct exposure to how data drives strategic decisions across the organization.
• Mentorship: Regular guidance from senior data scientists and engineers.
• Professional Network: Build relationships with a diverse, data‑driven community.
• Hybrid Flexibility: Balance in‑office collaboration with remote productivity.

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How to Apply

Submit the following to [careers@yourcompany.com] (subject line: Data Science Internship – Winnipeg – [Your Name]):

1. Updated résumé (PDF)
2. A brief cover letter (max 300 words) outlining your interest and relevant experience.
3. Optional: A portfolio or GitHub link showcasing data‑science projects (e.g., notebooks, dashboards, models).

Application Deadline: [Insert Date]

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We are an equal‑opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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Take the next step in your data journey—apply today and turn data into impact!