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Data Science New Grad Jobs in British Columbia (NOW HIRING)

Data Scientist

Mcleese Lake, BC · On-site

CA$102K - CA$128K/yr

This role presents an opportunity to expand the site's data science capabilities and support our ... new targets for optimization schemes, and validating data/model health. * Designing reports and ...

Within this space, the Identity Data Science portfolio plays an important role in advancing ... and apply new technologies, staying current with industry trends and advancements Good ...

Data Scientist

Mcleese Lake, BC · On-site

CA$102K - CA$128K/yr

This role presents an opportunity to expand the site's data science capabilities and support our ... new targets for optimization schemes, and validating data/model health. * Designing reports and ...

This role presents an opportunity to expand the site's data science capabilities and support our ... new targets for optimization schemes, and validating data/model health. * Designing reports and ...

You enjoy ambiguity, you pick up new tools quickly, and you care about outcomes more than orthodoxy. What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics ...

You enjoy ambiguity, you pick up new tools quickly, and you care about outcomes more than orthodoxy. What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics ...

You enjoy ambiguity, you pick up new tools quickly, and you care about outcomes more than orthodoxy. What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics ...

You enjoy ambiguity, you pick up new tools quickly, and you care about outcomes more than orthodoxy. What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics ...

You enjoy ambiguity, you pick up new tools quickly, and you care about outcomes more than orthodoxy. What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics ...

You enjoy ambiguity, you pick up new tools quickly, and you care about outcomes more than orthodoxy. What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics ...

You enjoy ambiguity, you pick up new tools quickly, and you care about outcomes more than orthodoxy. What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics ...

You enjoy ambiguity, you pick up new tools quickly, and you care about outcomes more than orthodoxy. What You'll Bring to Our Team - * 5+ years of hands-on experience in data science, analytics ...

C++ Developers With the ever growing global demand to secure networks in the face of emerging new threats and data breaches, there is a greater need to provide end-to-end, next generation Security ...

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Showing results 1-20

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 are popular job titles related to Data Science New Grad jobs in British Columbia?

For Data Science New Grad jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Data Science New Grad jobs in British Columbia look for?

The top searched job categories for Data Science New Grad jobs in British Columbia are:

What cities in British Columbia are hiring for Data Science New Grad jobs?

Cities in British Columbia with the most Data Science New Grad job openings:

Infographic showing various Data Science New Grad job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Gibraltar Mine

Mcleese Lake, BC • On-site

CA$102K - CA$128K/yr

Full-time

Re-posted 21 days ago


Job description

Position Title

Data Scientist, Technical Services

Employment Type

Full-Time

Organization

Gibraltar Mine

Location

Mcleese Lake, BC

Reporting Relationship

Senior Engineer, Process Control

Salary Range

$102,700 to $128,300

About Trekor

Headquartered in Vancouver, British Columbia (BC), Canada, Trekor Metals Limited (Trekor) is a leading North American copper producer with a robust development pipeline of minerals projects and properties in Canada and the United States.

Known for seeing opportunities where other mining companies do not, Trekor has a two-decade track record of delivering value for shareholders, employees, communities where we operate, and others — from acquiring the Gibraltar Mine in BC for a single dollar and building it into Canada's second-largest copper producer, to transforming Arizona’s Florence Copper into the world's first greenfield in-situ copper recovery operation.

Trekor goes Beyond Potential.

For more information visit our website www.Trekormetals.com.

Role Overview

We are looking for an enthusiastic data scientist to join our technical services team. This role presents an opportunity to expand the site’s data science capabilities and support our data science lead.

Gibraltar Mine currently uses machine learning tools in our milling processes. This role’s key function would be to assist in developing and maintaining these tools by:

  • Training machine learning models on observational data sets from sensors and assays in the mine and mills.
  • Conducting exploratory data analyses to discover opportunities for process improvements, feature engineering, new targets for optimization schemes, and validating data/model health.
  • Designing reports and visualizations to communicate KPIs and insights.

The position will also support other departments by providing broader on-site data management, wrangling, analysis, and modeling to support complex mining and milling processes.

Core Responsibilities
  • Contribute to ongoing model maintenance and optimization activities for existing machine learning tools.
  • Design and implement secure, automated end-to-end data pipelines from source data to analytics-ready datasets for use in production environments.
  • Conduct exploratory data analyses and correlation studies in collaboration with the milling and mining departments.
  • Develop scalable, testable, and reliable internal data science tools, primarily in Python.