ZipRecruiter

Log In

1

Relocation Package Data Science Jobs in Toronto, ON

Bmo

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 ...

Braze

Forward-Deployed Data Scientist

Toronto, ON

CA$125K - CA$188K/yr

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 ...

Intact Financial

Data Scientist II

Toronto, ON

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 ...

Intact Financial

Data Scientist II

Ajax, ON

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 ...

Bank of Montreal

Principal Data Scientist

Toronto, ON · On-site

$103.20 - $192/hr

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 ...

BMO Capital Markets

Principal Data Scientist

Toronto, ON

CA$103K - CA$192K/yr

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 ...

Flinks

Senior Data Scientist

Toronto, ON · Remote

This is a hands-on, engineering-heavy data-science role: you build and ship your own models. Where ... Build your model's training pipeline and package it for serving, deploying onto the shared platform ...

McKesson

Senior/Lead Data Scientist

Mississauga, ON · On-site +1

Business Experience - * 7+ years of hands-on data science experience delivering models to ... Git, testing, packaging, pipelines; containerization; performance/cost tuning in cloud ...

next page

Showing results 1-20

All JobsRelocation Package Data Science JobsRelocation Package Data Science Jobs in Toronto, ON

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:
Relocation Package Data Science jobs near you

Data Scientist, Marketing Analytics

Bell Canada

Toronto, ON • Hybrid

Other

Medical, Dental, Vision

Posted 9 days ago

Job description

 Req Id: 431373

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we're building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day. 

We believe in empowering people. That's why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you're inspired by innovation that advances how people connect and transforms what's possible, you belong on #TeamBell.

Summary

We are looking for a Data Scientist, Marketing Analytics to join our team. In this role, you will be responsible for leveraging sales, marketing, and behavioral data to analyze and optimize marketing activities. This position will support a portfolio of marketing projects including marketing mix modelling, causal impact analysis, predictive modeling for customer acquisition and retention, lifetime value analysis, and more.

Key Responsibilities
  • Develop and maintain mathematical models to guide strategic business planning and marketing
  • Develop and maintain continuous training predictive models for customer acquisition/retention
  • Conduct statistical experiments to support a knowledge hub for strategic marketing insights
  • Analyze, interpret, and present findings and recommendations to cross-functional business teams
  • Collaborate with brand, marketing, and technical teams to translate business needs into solutions
  • Participate in pilot programs to stay ahead of the curve in applied AI/ML advancements
  • Support MLOps/DevOps for production model environments and process/test automation
  • Clearly document your work and present concepts to both technical and non-technical audiences
  • Participate in knowledge-transfer and cross-training to facilitate business continuity and resilience
Critical Qualifications
  • Bachelor's degree in a quantitative field (eg. Computer Science, Math, Statistics, Engineering)
  • 3 + years of experience applying Data Science, Machine Learning, and advanced statistical modeling techniques to marketing analytics, customer acquisition, customer retention, customer segmentation, marketing measurement, or campaign optimization initiative
  • Strong experience in data science, machine learning, research, and data pipeline development
  • Proficient in data management and analytical programming languages (Python, SQL, R)
  • Proficient using common data visualization packages and business intelligence tools
  • Proficient using LLMs to judiciously expedite and automate tasks in a production environment
  • Experience developing and maintaining data warehousing and data lake products
  • Experience working with large marketing, media, behavioural, or cognitive data sets
  • Experience working in secure corporate cloud environments (eg. GCP, AWS, Azure)
  • Experience with constrained optimization models and statistical simulation methods
  • Experience in applying both Bayesian and frequentist statistical concepts to large data sets
  • Experience with analytical Python libraries (eg. TensorFlow, Keras, scikit-learn, pandas)
  • Knowledge of agile project management philosophies and workflows

Adequate knowledge of French is required for positions in Quebec. 

Additional Information:

Position Type: Management 
Job Status: Regular - Full Time 
Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Quebec : Montreal 
Work Arrangement: Hybrid 
Application Deadline: 07/26/2026 

For work arrangements that are 'Hybrid', successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role.  Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you'll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we're actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements.If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page  for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, ON, Toronto

Bell, one of Canada's Top 100 Employers.

Apply