1

Internship Machine Learning Quant Jobs in Alberta

Train machine learning systems using data annotation and benchmarking techniques. Help your ... Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs ...

Demonstrable extensive quantitative expertise gained in domains of expertise, such as numerical analysis, optimization, probabilistic methods, and AI & Machine Learning. * Strong planning skills and ...

... machine learning modeling. • Train machine learning systems using data annotation and ... Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs ...

... machine learning modeling. • Train machine learning systems using data annotation and ... Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs ...

The successful candidate will combine strong quantitative and systems skills with sound ... Leverage AI and emerging analytical tools (e.g., Copilot, LLMs, machine learning libraries) to ...

Bachelor's degree in Computer Science, or a related quantitative field. * Deep experience building ... Experience supporting forecasting, optimization, machine learning, or analytical systems. * Cloud ...

Bachelor's degree in Computer Science, or a related quantitative field. * Deep experience building ... Experience supporting forecasting, optimization, machine learning, or analytical systems. * Cloud ...

... how to leverage machine learning capabilities to solve real user problems. * Execution and ... You are a visionary who uses both qualitative and quantitative data to drive product strategy ...

Showing results 21-40

Internship Machine Learning Quant information

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are popular job titles related to Internship Machine Learning Quant jobs in Alberta?

For Internship Machine Learning Quant jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Quant jobs in Alberta look for?

The top searched job categories for Internship Machine Learning Quant jobs in Alberta are:

What cities in Alberta are hiring for Internship Machine Learning Quant jobs?

Cities in Alberta with the most Internship Machine Learning Quant job openings:

Infographic showing various Internship Machine Learning Quant job openings in Alberta as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Data Science Student

Edmonton, AB • On-site

PCL Construction
Construction • 1 - 5K employees

Full-time

Re-posted 2 days ago


PCL Construction rating

7.2

Company rating: 7.2 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

The future you want is within reach. 
At PCL, we build the places where life happens and find camaraderie in the process. We're a community of builders committed to building better communities. That's why we're always looking ahead, and not just to the next project or what's next in our industry.  
We're also looking at what's next for you and how we can help you build a career you're proud of. As a student at PCL, you will get the opportunity for challenging work assignments in a supportive work environment which promotes personal and professional growth.  


We are seeking a Data Science Student for our Canadian Industrial Division district office in Edmonton, AB, that is availablefor 4, 8, or 12 months starting in January, 2027, Year.This position willbe under the direct supervision of the Manager, Data Science. 

Remote work not available for this position.

Responsibilities

As a Data Science Student, you will contribute to our team by: 
Gain proficiency in exploratory data analysis, perform it, and present insights. 
   Prepare data sets for visualization and machine learning modeling. 
   Train machine learning systems using data annotation and benchmarking techniques. 
   Help your colleagues assess AI/ML model performance and propose paths for potential improvement. 
   Prepare data visualizations using industry-leading tools to summarize results for stakeholders. 
   Document your results - tell the story of the work, the successes, and the lessons-learned for posterity. 
   Keep an open mind, in order to utilize your unique skills and your determination when other opportunities arise. 


This position has a twist. Contingent on successful early work, the team member will have a chance to build their portfolio through a capstone project. For the final two months, a portion of their time will be focused on a design-focused initiative, of value to PCL, of their choosing. You'll be supported while you: 
   Develop a proposal 
   Engage with the right people to inform your work 
   Build your prototype or visualization 
   Assess and present the results 

Qualifications

What you will bring to the role: 
Currently enrolled in a postsecondary program 
   You should be an outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good fit regardless. 
   Analytical skills - ability to quickly analyze data to identify and visualize key insights - as evidenced by coursework, projects, or research requiring the analysis of large datasets. 
   Coursework in statistics. Applied statistics and probability are the focus of the position: if you can converse about regression models, and clustering approaches, you'll be fine. 
   Prior exposure to a statistical or scientific programming environment is helpful. If you don't have it, you'll become familiar while you're with us.  We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools. 
   Excellent oral and written communication skills will help. You'll work with both experts in the field and business staff, so you'll find it important to be able to communicate appropriately with both as needed. 

Next Step:

 
   Please note that candidates who have been selected to move forward to the next stage of the recruitment process will receive an email to complete a short online video interview.  


PCL is an innovative, employee-owned company comprised of people who find passion in their profession and take pride in doing great work every day. Our work powers the infrastructure and utilities that are essential to daily life and our projects are the scene of vacations, careers, education and healing. We are consistently ranked among the best companies to work for because we are committed to supporting and developing our teams. 


The PCL Companies celebrate diversity and are proud to be an equal opportunity employer. We are committed to creating equitable opportunities and an inclusive environment for all employees and applicants.  We make employment-related decisions without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status.
Should you require an accommodation during the application process, please contact us at careers@pcl.com with the position and location you are interested in.  

 
Together, we can build success and a better future. Let's get started! 


What PCL Construction employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom