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Data Science In Healthcare Jobs in Quebec (NOW HIRING)

GIRO, Inc.

Junior Data Scientist

Montreal, QC · On-site +1

Employee assistance program, telemedicine and mental health support. Training and professional ... In addition to working in an agile environment, a career in data science at GIRO means: * Analyzing ...

Broadsign Careers

Data Analyst

Montreal, QC · Hybrid

Formal training in data science, including statistical analysis, visualization, and machine ... This includes a $500 annual Health Care Savings Account (HCSA) and unlimited access to the Telus ...

Intact Financial

Senior Data Scientist

Montreal, QC · On-site

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data science, analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ...

Targeted Talent

Senior Data Scientist

Montreal, QC · Remote

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... North of six figures salary + Equity + Health Spending Account (it's competitive) * Amazing ...

Targeted Talent

Senior Data Scientist

Quebec, QC · Remote

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... North of six figures salary + Equity + Health Spending Account (it's competitive) * Amazing ...

Targeted Talent

Senior Data Scientist

Montreal, QC · Remote

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... North of six figures salary + Equity + Health Spending Account (it's competitive) * Amazing ...

Targeted Talent

Senior Data Scientist

Quebec, QC · Remote

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... North of six figures salary + Equity + Health Spending Account (it's competitive) * Amazing ...

National Bank

Senior data scientist

Montreal, QC · On-site +1

Bachelor's degree or master's degree (in statistics, data science, mathematics, computer science or ... Health and wellness program, including many options * Flexible group insurance * Generous pension ...

National Bank

Senior data scientist

Montreal, QC · On-site +1

Prerequisites: Bachelor's degree or master's degree (in statistics, data science, mathematics ... Health and wellness program, including many options * Flexible group insurance * Generous pension ...

National Bank

Senior data scientist

Montreal, QC · On-site

Bachelor's degree or master's degree (in statistics, data science, mathematics, computer science or ... Health and wellness program, including many options * Flexible group insurance * Generous pension ...

Valnet Inc.

Valnet | Data Scientist

Montreal, QC · On-site

Degree in Data Science, Statistics, Computer Science or a related field. Why Join Us? * Work in a fast-paced, data-driven publishing environment with leading automotive and travel brands. * Direct ...

Artefact

Senior Data Scientist

Montreal, QC · On-site

... in financial services and healthcare - is a meaningful differentiator * Exposure to marketing ... data science thinking on the planet - while building something meaningful right here in Canada. You ...

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All JobsData Science In Healthcare JobsData Science In Healthcare Jobs in Quebec

Data Science In Healthcare information

Can a data scientist work in healthcare?

A data scientist can work in healthcare by analyzing medical data, developing predictive models, and supporting clinical decision-making. Skills in machine learning, statistical analysis, and familiarity with healthcare data standards like HIPAA are important for this role.

Who has more salary, a doctor or a data scientist?

Generally, doctors tend to have higher salaries than data scientists, especially in specialized medical fields. Data scientists in healthcare can earn competitive salaries, particularly with advanced skills in machine learning and healthcare analytics, but overall, medical doctors often have higher compensation due to their extensive training and responsibilities.

Is 30 too late for data science?

Data science in healthcare is accessible at any age, including at 30, especially with relevant skills in programming, statistics, and domain knowledge. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training, making age less of a barrier than skill and experience.

How can data science be used in health care?

Data science in healthcare involves analyzing large datasets to improve patient outcomes, optimize treatment plans, and enhance operational efficiency. Healthcare data scientists use tools like machine learning and statistical models to identify patterns, predict disease trends, and support clinical decision-making.
What are popular job titles related to Data Science In Healthcare jobs in Quebec? For Data Science In Healthcare jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Science In Healthcare jobs in Quebec look for? The top searched job categories for Data Science In Healthcare jobs in Quebec are:
What cities in Quebec are hiring for Data Science In Healthcare jobs? Cities in Quebec with the most Data Science In Healthcare job openings:
Data Science In Healthcare jobs near you

Senior Data Scientist II (ServiceNow)

Bell Canada

Montreal, QC

Other

Medical, Dental, Vision

Posted 3 days ago

Job description

 Req Id: 431027

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.

On the Bell Business Markets team, you'll be a vital part of making innovation happen for enterprise-scale customers. You'll deliver advanced solutions in areas such as IoT, Mobility/5G, Cloud, Cyber Security, Voice, Collaboration & Contact Centre and Internet & Private Networks.

At Bell, your skills and expertise will help set us apart as we continue to be the leading provider of digital connections and next generation services to businesses and governments.

Summary

We are seeking a highly accomplished and experienced Senior Data Scientist II to lead the technical development and implementation of complex machine learning (ML) solutions. This individual will be a key contributor, driving innovation and shaping the future of our data science initiatives. The ideal candidate will possess exceptional technical skills, strong leadership abilities, and a deep understanding of business operations. 

Key Responsibilities
  • Lead the entire lifecycle of data science projects, from initial conception and design to deployment and maintenance in production environments. 
  • Develop and implement advanced ML architectures for complex models, ensuring scalability, performance, and robustness. 
  • Collaborate with business stakeholders to gain a thorough understanding of operational processes, identify key challenges, and translate business needs into data-driven solutions. 
  • Guide and direct interaction with product teams to influence product design, ensuring alignment between business objectives and technical feasibility. 
  • Employ a production-first approach, conducting thorough feasibility studies and prototyping to evaluate project viability, considering performance, time, quality, and cost. 
  • Introduce and champion innovative ML techniques, processes, and products within the organization. 
  • Mentor and guide junior and senior data scientists, fostering a collaborative and high-performing team environment. 
  • Proactively identify and address potential challenges and risks throughout the project lifecycle. 
  • Stay abreast of the latest advancements in the field of machine learning and proactively identify opportunities for innovation and improvement. 
  • Contribute to the development and refinement of data science best practices and methodologies. 
Critical Qualifications
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Relevant experience may be considered in lieu of a degree. 
  • 8+ years of experience in a data science or analytics role, with a significant portion dedicated to leading complex projects. 
  • Advanced cloud certification (e.g., AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert, Google Cloud Professional Data Engineer - specify preferred certifications). 
  • Advanced knowledge of ML models: NLP, Gen AI and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras - specify preferred frameworks). 
  • Demonstrated ability to design and implement complex ML architectures. 
  • Advanced understanding of business operations, needs, and pain points, with the ability to translate business requirements into technical specifications. 
  • Exceptional proficiency in developing, training, and deploying ML models in production environments. 
  • Proficiency in at least one scripting language (Python preferred). 
  • Strong experience with data visualization tools (e.g., Tableau, Power BI). 
  • Excellent communication, leadership, and interpersonal skills. 
  • Proven ability to lead and motivate teams to achieve ambitious goals. 
  • Demonstrated ability to manage multiple projects simultaneously and meet deadlines. 
  • Strong problem-solving skills and a proactive approach to identifying and resolving challenges. 
Preferred Qualifications
  • Master's degree or PhD in a relevant field. 
  • Experience with specific industry-relevant datasets or technologies. 
  • Publication record in data science or related fields. 
  • Contributions to open-source projects or personal data science projects (portfolio encouraged). 
  • Experience with Servicenow

Adequate knowledge of French is required for positions in Quebec. 

Additional Information:

Position Type: Management

Job Status: Regular - Full Time

Job Location: Canada : Quebec : Montreal || Canada : Ontario : Ottawa || Canada : Ontario : Toronto 
Work Arrangement: Hybrid
Application Deadline: 07/12/2026

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, QC, Montreal

Bell, one of Canada's Top 100 Employers.

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