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Relocation Package Data Science Jobs in Ontario (NOW HIRING)

Data Architect

Toronto, ON ยท Hybrid

CA$120K - CA$150K/yr

Stay current with emerging data science, AI, and machine learning techniques and tools ... Comprehensive Health & Wellness Benefits Package * Socials, Outings & Retreats * Retirement ...

Data Scientist

Toronto, ON ยท On-site

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Compelling rewards package including base compensation, eligibility for annual bonus, retirement ...

Data Scientist

Markham, ON

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Compelling rewards package including base compensation, eligibility for annual bonus, retirement ...

Lead and enforce data science best practices: coding, peer-review, experimentation and testing ... An extensive flex pension and benefits package, with access to virtual healthcare * Flexible work ...

Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field ... In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package ...

You'llbuild and deliver data science solutions end-to-end, framing problems with partners ... Recommend and useappropriate tools, packages, and libraries to solve problems efficiently and ...

You'llbuild and deliver data science solutions end-to-end, framing problems with partners ... Recommend and useappropriate tools, packages, and libraries to solve problems efficiently and ...

Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

... science experience delivering models to production with measurable business impact; 4+ years ... Git, testing, packaging, pipelines; containerization; performance/cost tuning in cloud ...

... science experience delivering models to production with measurable business impact; 4+ years ... Git, testing, packaging, pipelines; containerization; performance/cost tuning in cloud ...

... science, mechanical, aerospace, or related field. -Proficiency in multiple of the following ... Python, SQL, C++/C#, MATLAB, Server Integration Services (SSIS) packages -Proficiency in ...

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Relocation Package Data Science information

What is a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What are the key skills and qualifications needed to thrive as a Data Scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

What are popular job titles related to Relocation Package Data Science jobs in Ontario? For Relocation Package Data Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Ontario look for? The top searched job categories for Relocation Package Data Science jobs in Ontario are:
What cities in Ontario are hiring for Relocation Package Data Science jobs? Cities in Ontario with the most Relocation Package Data Science job openings:

Senior Data Scientist (Applied AI & Analytics)

ITPS (Canada) LTD

London, ON โ€ข On-site

Full-time

Posted 8 days ago


Job description

Salary:

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

  • Bachelors or Masters 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 Were 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.