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Data Science New Grad Jobs in Brampton, ON (NOW HIRING)

Powered by AI, data science, and a secure data foundation, our platform makes data actionable with ... About the Role We're hiring a Client Services Analyst to support rapid new client activations ...

Data Science Manager

Toronto, ON · Hybrid

CA$90K - CA$100K/yr

Position Summary We are hiring a Data Science Manager to lead project delivery across a range of ... Contribute to proposal development and statements of work for new and existing client engagements.

Manager, Data Science

Toronto, ON · Hybrid

CA$173K - CA$197K/yr

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Manager, Data Science About Capital One ... Investigating the impact of new technologies on the future of digital banking and the financial ...

New

Implement data exchange methods and standards and develop prototypes in collaboration with product ... Bachelor's or advanced degree in computer science or a related discipline * A solid grasp of ...

Credit Risk Expert & Strategic Builder We are looking for a hands-on, data-obsessed Data Science ... Design and evaluate statistically rigorous experiments to assess new models, features, and credit ...

... attract new customers and retain existing ones. * Collaborate with business partners to develop ... Effectively communicate the analytics approach and data science lifecycle with leadership and ...

Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who ... Data Science and Machine Learning * Translate business goals into analytical problems;

Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who ... Data Science and Machine Learning * Translate business goals into analytical problems;

... new AI capabilities for practical business use. You'll collaborate closely with subject matter ... Lead end-to-end data science projects of moderate scope, from problem framing through analysis and ...

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Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What are the key skills and qualifications needed to thrive as a data science new grad?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What cities near Brampton, ON are hiring for Data Science New Grad jobs?

Cities near Brampton, ON with the most Data Science New Grad job openings:

Infographic showing various Data Science New Grad job openings in Brampton, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Data Analyst - New Grad

B3 Systems, Inc

Toronto, ON • On-site

Full-time

Posted 6 days ago


Job description

About B3

B3 is a cloud-native, AI-driven data experiences innovator that puts data to work for everyone. Powered by AI, data science, and a secure data foundation, our platform makes data actionable with seamless integration, real-time visibility, and intuitive dashboards. With B3, companies get intelligent, agile data experiences that drive exponential business impact.

About the Role

We're hiring a Client Services Analyst to support rapid new client activations, onboarding, requests, and support as B3 continues to scale quickly. This is a hands-on, execution-focused role at the center of our growth - working directly with customers as they go live on the B3 platform and supporting them in real production environments.

You'll be part of a fast-moving team onboarding new customers and sites on a regular basis. One week you may be helping launch a new plant, the next responding to live customer requests or supporting an expansion at an existing client. This role offers constant variety, real responsibility, and the opportunity to work with exciting industrial customers adopting AI for the first time.

About the Work


  • Reverse-engineer legacy reporting systems and rebuild them within our platform.
  • Design efficient data flows and pipelines to bring in data cleanly and reliably.
  • Triage, track, and follow up on requests in a fast-moving environment.
  • Coordinate with Engineering and Platform teams to resolve issues.
  • Help improve onboarding workflows and support processes