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Relocation Package Data Science Jobs in Toronto, ON

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other ... Your recruiter will share more information about our total rewards package during the hiring ...

Data Scientist II

Toronto, ON

CA$81K - CA$115K/yr

You'll gain hands-on experience with data science, and business analytics while building a strong ... Our Total Rewards Package Our Total Rewards package reflects the investments we make in our ...

Role Overview As a Senior Credit Risk Modeling - Data Science, you will be an individual ... Competitive base salary + performance bonus + equity package. * Fast-growth startup environment ...

Lead client consultations as the primary data science expert, translating complex statistical ... Proven experience building complex models from scratch, not just using pre-built packages * Strong ...

Data Scientist

Toronto, ON · 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 ...

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 ...

Data Architect

Toronto, ON · 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

Markham, ON · 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 ...

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

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 ...

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 ...

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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 Toronto, ON?

For Relocation Package Data Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Relocation Package Data Science jobs in Toronto, ON look for?

The top searched job categories for Relocation Package Data Science jobs in Toronto, ON are:

Infographic showing various Relocation Package Data Science job openings in Toronto, 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.
Meridian Credit Union
1 - 5K employees

CA$68K - CA$100K/yr

Full-time

Posted 24 days ago


Job description

Why Meridian? 

At Meridian our aspiration is to integrate our purpose into everything we do for people, the planet, and communities. We believe that our greatest opportunity is to create opportunity and meet people where they are. 

Factor us into your next career opportunity. We want you to grow with us and have an experience that’s different. This is a place where you can expect the unexpected.  

Find our story here: About Meridian

The role: *Please note - this is a 12-month contract opportunity*

The Data Scientist will be a pivotal member of the Enterprise Data and Analytics Team, responsible for developing, and implementing advanced analytics and AI models. Leverage statistical techniques, machine learning, and data mining. This role involves building robust data models, and leveraging a suite of Microsoft and other AI and data technologies to ensure data solutions, accessibility, and usability across the organization.

Key Responsibilities:

AI Modeling & Documentation

  • Develop models to support AI and automation use cases across Meridian
  • Develop GenAI and LLM models. Get direction from and technical guidance from more senior members of the team
  • Work closely with data engineers, data analysts, and other stakeholders
  • Analyze large and complex, structured and unstructured data. Prepare AI-ready data models
  • Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other predictive models

AI and Data Science research and development

  • Research, code, develop and implement advanced analytics and AI models
  • Research and stay updated with the latest advancements in data science and AI technologies
  • Ensure AI models have proper documentation and model transparency and that they adhere to responsible AI framework
  • Collaboration: Work closely with data analysts, senior data scientists, and other stakeholders to understand and deliver on data requirements.
  • Help define AI and automation use cases and requirements as well as assessing technical feasibility

Knowledge, Skills, and Experience:

  • Experience with machine learning frameworks and data mining techniques, nice-to-have: cloud computing
  • Proficiency in a software programming languages, e.g., Python
  • Knowledge of programming languages such as Python or Java.
  • Nice-to-have:
    • Knowledge of SQL Server and T-SQL programming.
    • Experience with PowerBI for data visualization and reporting.
    • Familiarity with MS Fabric for data integration and management.
    • Proficiency in Microsoft Azure, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
    • Strong understanding of data warehousing concepts and best practices.
    • Experience in developing and managing ETL pipelines.
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets.
  • Good verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.
  • Ability to work collaboratively in a team environment and manage multiple priorities.
  • Experience: 2-4 years of experience in data science and Microsoft technologies.

This role represents an existing vacancy. Internal candidates are being considered as part of our standard process.

Salary Range: CAD $68,800- $100,000

Compensation for this role is based on a combination of skills, experience, and internal equity. Candidates with stronger alignment to the role’s requirements may be placed higher within the range. Your recruiter will share more information about our total rewards package during the hiring process.

Join us! This role is hybrid. Our offices are located at 3280 Bloor St W, Etobicoke, and 75 Corporate Park Dr, St. Catharines. Travel between these offices may be required, as well as occasional travel to branches. Meridian has a remote work policy that allows flexibility for employees to work remotely but also requires regular time in the office for purposeful meetings to collaborate, innovate and build effective relationships with your team, your colleagues and your leader which is very important to us.What's in it for you?
  • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
  • We provide you with the tools and technology needed to delight your candidates and clients!
  • You'll get to work with and learn from diverse industry leaders, who have hailed from top organizations around the world
  • Hybrid work arrangements with in-person office time to collaborate, innovate and build relationships with your colleagues
  • This isn't your typical "corporate" job. We work hard and we have fun!

Build the Future of Banking with Us 

At Meridian, we’re not just adapting to the future—we’re shaping it. We see talent as a catalyst for sustainable growth, community impact, and future-readiness. As the financial landscape evolves, we’re looking for team members who bring: 

  • Embedding & leveraging technology – Confidence and willingness to learn and integrate AI and emerging technologies into new ways of working.  Experience with low/no code tools like the Microsoft Power Platform and generative AI productivity tools like Microsoft Copilot is considered an asset 
  • Critical Thinking – The ability to analyze, evaluate and interpret information from various sources and apply logic and problem solving to make decisions.
  • Data Driven– Leverage data and insights to identify, prioritize and improve member experience and business efficiency. 
  • Curiosity & Flexibility – Comfortable navigating and embracing change and uncertainty, ask more questions, explore more options. Continuously learn and grow.
Our Commitment to YouMeridian is committed to promoting an inclusive, accessible environment, where all employees and customers feel valued, respected, and supported. We are dedicated to employing a workforce that reflects the diversity of our communities and Members in which we live and serve.Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, or disability.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.Please note that due to the volume of applications, only those under consideration will be contacted for an interview.Thank you for your interest in Meridian Credit Union.Follow us on Twitter at@MeridianCareersConnect with us on LinkedIn

Meridian only posts jobs on our official Careers Site, LinkedIn, and Indeed. If you find a Meridian job posting on any other site, please verify it by ensuring it directs back to our official career page. Meridian never asks candidates to apply through thirdparty links that do not redirect to our Careers portal (UltiPro). For more tips on how to protect yourself from job scams visit Protect yourself from job scams | Meridian

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