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

Td

Software Engineer III (AI Integration)

London, ON · On-site +1

CA$125K - CA$154K/yr

This role combines software engineering, data science, and machine learning expertise to develop ... Evaluate new AI frameworks, tools, and techniques. * Prototype solutions and run experiments to ...

Td

Software Engineer II (AI Integration)

London, ON · On-site +1

CA$96K - CA$115K/yr

This role combines software engineering, data science, and machine learning expertise to develop ... Evaluate new AI frameworks, tools, and techniques. * Prototype solutions and run experiments to ...

Dillon Consulting Limited

M&A and FP&A Analyst

London, ON · Hybrid

CA$70K - CA$105K/yr

... new reports and leverage FP&A insights for decision-making. Qualifications * Undergraduate degree in Business, Accounting, Data Science, Engineering, or a related field. * 3-6 years in a data-heavy ...

Dillon Consulting Limited

M&A and FP&A Analyst

London, ON · Hybrid

CA$70K - CA$105K/yr

Support the Manager in training non-finance stakeholders on how to interpret new reports and leverage FP&A insights for decision-making. * Undergraduate degree in Business, Accounting, Data Science ...

Squarepoint Capital

Graduate Software Developer

London, ON · On-site

CA$100K/yr

Build software products used worldwide by traders, researchers, data scientists, and other teams at ... Eagerness to continuously learn new technologies and develop with us, * Ability to work well in a ...

BGBx

VP, Brand Strategy

London, ON · On-site +1

CA$200K - CA$240K/yr

... scientists, communicators, creatives, technologists, and data experts to tackle some of health ... Contribute to new business with stories that stand out and strategies that win * Help define what ...

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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 London, ON are hiring for Data Science New Grad jobs?

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

Data Science New Grad jobs near you
Infographic showing various Data Science New Grad job openings in London, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 64% In-person, 12% Hybrid, and 24% Remote job distribution.

Senior Data Scientist (Applied AI & Analytics)

International Test Pilots School (ITPS)

London, ON

CA$110K - CA$150K/yr

Full-time

Re-posted 13 days ago

Job description

Job Title: Senior Data Scientist (Applied AI & Analytics)

Location: London, ON / North Bay, ON (Hybrid)
Employment Type: 2-Year Contract (with option to extend)
Salary Range: $110,000 - $150,000 CAD (commensurate with experience)
Relocation Support: Moving allowance available


About ITPS

International Test Pilots School (ITPS Canada Ltd.) is a globally recognized aerospace training organization specializing in advanced flight training, flight test education, and tactical aviation programs. ITPS works with military organizations, government agencies, and aerospace companies worldwide to deliver high-performance training solutions supported by modern aircraft, simulation systems, and evolving data-driven methodologies.

As part of its continued investment in innovation, ITPS is expanding its capabilities in data analytics, artificial intelligence, and advanced training technologies.


Role Overview

ITPS is seeking a Senior Data Scientist to lead the development of advanced data analytics and AI capabilities within a growing R&D initiative. This role will focus on transforming complex, multi-source operational data into structured insights, performance metrics, and scalable analytical tools.

The successful candidate will play a key role in shaping the technical direction of the project, developing data models, and establishing best practices for data processing, analysis, and integration. This individual will also support the future build-out of a data team.


Key Responsibilities

  • Lead the design and development of data processing pipelines for complex, multi-source datasets
  • Develop methodologies to extract meaningful insights from time-series and high-frequency data
  • Design and implement statistical models and machine learning approaches where appropriate
  • Structure and integrate diverse data sources into unified analytical frameworks
  • Define key metrics, features, and indicators for performance analysis
  • Collaborate with subject matter experts to translate operational concepts into measurable outputs
  • Ensure data quality, consistency, and reliability across datasets
  • Support visualization and reporting of analytical results
  • Establish best practices for data management, documentation, and reproducibility
  • Contribute to technical planning and project execution
  • Participate in hiring and mentoring of junior data team members as the project expands


Required Qualifications & Experience

  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
  • 5+ years of experience in applied data science or analytics roles
  • Strong proficiency in Python (pandas, NumPy, scikit-learn or similar libraries)
  • Experience working with time-series data and large, complex datasets
  • Strong data wrangling, preprocessing, and feature engineering skills
  • Experience developing and deploying analytical models in real-world environments
  • Solid understanding of statistical methods and data analysis techniques
  • Experience with data visualization tools (e.g., matplotlib, seaborn, Power BI, or similar)
  • Ability to work independently and translate ambiguous problems into structured solutions


Preferred Qualifications

  • Experience with multi-modal data (e.g., sensor, telemetry, or behavioral data)
  • Experience in aerospace, defense, simulation, or human performance analytics
  • Familiarity with machine learning model development and evaluation
  • Experience with data architecture, pipelines, and cloud-based tools
  • Prior experience in R&D or applied innovation environments


What We're Looking For

  • Strong problem-solving ability and practical mindset
  • Ability to work with incomplete or evolving datasets
  • Comfortable operating in an applied, hands-on environment
  • Strong communication skills and ability to work with non-technical stakeholders
  • Interest in building new capabilities from the ground up


Compensation & Benefits

  • Competitive salary based on experience ($110,000 - $150,000 CAD)
  • Moving allowance available for qualified candidates
  • Opportunity to work on a high-impact, technically challenging project
  • Potential for contract extension based on project success and business needs


Why Join ITPS

This is a unique opportunity to work at the intersection of aerospace, data, and advanced analytics within a globally recognized organization. The role offers the chance to build foundational capabilities, work with highly specialized data, and contribute to the development of next-generation training technologies.


AI Disclosure:We do not use AI to evaluate applicants or make decisions during the interview process. All candidate assessments and hiring decisions are made by our recruitment and leadership teams.

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