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Data Science Jobs in Winnipeg, MB (NOW HIRING)

Propose and support network experiments in partnership with tech & data science teams. Assess experiment outcomes and own/approve changes for your assigned regions. * Use critical-thinking skills to ...

Catastrophe Risk Specialist

Winnipeg, MB ยท Hybrid

CA$85K - CA$115K/yr

Analyze historical data, scientific research, and insurance claims to enhance model accuracy. * Collaborate with actuaries, underwriters, and analysts to understand risk exposures, and manage ...

Junior Building Sciences Technician

Winnipeg, MB ยท On-site

CA$57K - CA$76K/yr

... Science, Civil or Mechanical Engineering, or a related discipline. * Eligibility or registration ... Ability to interpret drawings, collect field data, and synthesize findings into clear and concise ...

... Science, Civil or Mechanical Engineering, or a related discipline. * Eligibility or registration ... Ability to interpret drawings, collect field data, and synthesize findings into clear and concise ...

Quality control of year-end data input and verification of program output, including Annual Benefit ... Currently pursuing or recently completed a degree in Actuarial Science, Mathematics, Statistics ...

Responsible for the application of biostatistical methods to support clinical trials and data ... scientific processes and results. Project Support * Provide statistical expertise and guidance ...

We are passionate about the power of science to solve agriculture's biggest challenges. With one of ... The position is also accountable for leading the data compensation process in Canada as well as ...

Showing results 21-40

Data Science information

See Winnipeg, MB salary details

$24.1K

$119.7K

$215.5K

How much do data science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data science in Winnipeg, MB is $119,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,526.00 and $164,839.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Winnipeg, MB?

The most popular types of Data Science jobs in Winnipeg, MB are:

What are popular job titles related to Data Science jobs in Winnipeg, MB?

For Data Science jobs in Winnipeg, MB, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Winnipeg, MB look for?

The top searched job categories for Data Science jobs in Winnipeg, MB are:

Infographic showing various Data Science job openings in Winnipeg, MB as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 76% In-person, 12% Hybrid, and 12% Remote job distribution, with an average salary of $119,650 per year, or $57.5 per hour.

Senior Data Analyst

Winnipeg, MB โ€ข On-site

CA$80K - CA$130K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 6 days ago


Job description

Permanent Full Timeย 

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We are looking forย Senior Analysts to join Canada Life's Business Enablement, Data Analytics & Reporting team. We are currently hiring for multiple Senior Data Analyst roles and are seeking candidates with experience across one or more of the following skill sets:

We're hiring for experience in the following areas:

  • Senior BI Analyst - Core BI delivery focused on requirements, KPI definition, analysis, and Power BI reporting using curated datasets
  • Senior BI Specialist - Endtoend delivery specialists combining advanced Power BI development with strong dataengineering capability, owning solutions from discovery through build, validation, and rollout
  • Senior Data Foundation Analyst - Dataengineering-focused role responsible for building, enriching, and governing data pipelines and datasets that enable downstream BI and analytics

As a Senior Analyst you will join Canada Life's Business Enablement, Data Analytics and Reporting team. In this role you will support all Canada Operations and Business Enablement teams with the ideation, development, implementation, and maintenance of analytics solutions ranging from descriptive and diagnostic to predictive.

The Senior Analyst, Data & Analytics is a data subject matter expert enhancing decision making, monitoring business performance, providing actionable insight, and driving operational efficiencies using advanced analytics and statistical techniques.

In this role, you will model, analyze, and predict complex business processes. You will translate business requirements into data, reporting, and analytics projects, which you will oversee and support throughout their entire lifecycle.

What you will do

  • Translate business needs into data requirements; collect, integrate, clean, model, and analyze large datasets; and visualize and present insights to business leaders
  • Build, implement and maintain data models, custom reports, and dashboards
  • Use Azure Databricks and advanced SQL to transform and model data, and Power BI to deliver governed, insightdriven reporting and analytics solutions
  • Work with large datasets that are not consistent, clean, or fully modelled
  • Apply strong communication, influence, and strategic thinking to shape analytics solutions and drive business decisions
  • Define, implement, and monitor metrics and KPIs and ensure ongoing strategic alignment with short and long-term business objectives
  • Enable effective, efficient working relationships with business partners
  • Work closely with senior leaders to understand business drivers and enable them to make decisions based on data
  • Oversee and support projects throughout the entire analytics lifecycle
  • Assist the business in the ideation of new analytics initiatives ranging from descriptive, diagnostic, predictive to prescriptive
  • Present and communicate insights and recommendations in a visual and simplified manner
  • Retrieve, integrate, and transform data from multiple systems using SQL, Python, and other scripting languages

What you will bring

  • 3-5 years of relevant experience and a master's degree in related field of study, or an equivalent combination of bachelor's degree and extensive related experience
  • Strong experience in working with data analytics tools (SQL, Python), Databases (SQL Server), Cloud (Azure, Databricks), data visualization tools (Power BI) with demonstrated experience at creating interactive dashboards
  • Ability to write complex and efficient SQL and Python queries to extract, integrate and transform data from multiple sources and automate data pipelines
  • Advanced skills in Power BI, Data Modeling, Power Query, and DAX
  • Microsoft Power BI Data Analyst (PL300) certification preferred
  • Strong experience working with raw data and manipulating large datasets
  • Subject matter expertise in data analytics and statistical modelling
  • Polished communication and presentation skills to audiences including senior leadership
  • Strong analytical skills for problem solving and to monetize value for the organization
  • Ability to work with little to no documentation or instruction
  • Think outside the box and identify solutions to overcome obstacles
  • Proven ability to learn and handle multiple priorities in a challenging work environment
  • Experience within the Financial Services sector would be an asset
  • Reliability Status Security Clearance - this can only be completed with candidates who receive an offer of employment. This is a personal security status that is required as a condition of employment before an employee can gain access to Protected B information, assets or work sites as outlined by theย Government of Canada ย website.ย  The cost of submitting these checks will be covered by Canada Life.
    ย 

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The base salary for this position is between $80,400 - $130,400 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Lifeย 

We'reย united by a shared purpose: to improve the financial,ย physicalย and mental well-beingย of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.ย ย 

We'reย looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers,ย communitiesย and each other.ย Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you!ย 

What we offer:ย ย 

We're committed to supporting our employees through every stage of their career. Here's what you can expect as a full-time or part-time permanent team member:ย 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annuallyย towardsย education reimbursement.ย 
  • Health & Wellness:Flexible health and dental benefits,ย plus a $5,000 mental health benefit to support your well-being.ย 
  • Time Off:In addition to regular vacation andย personal days,ย we support communityย involvement with aย volunteer day.ย 
  • Financial Security:Company-matching pension plan,share ownership program andย additionalinvestment options.ย 
  • Rewards and Recognition:ย Employee recognition programs, service milestone celebrations, employee discounts and more!ย ย 
  • Emphasis onย Community:ย We provide aย workplace whereย employeesย feel connected and supported throughย Employee Resource Groups (ERGs),ย mentorshipย programs,ย socialย clubsย andย events.ย ย 

Learn moreย aboutย Canada Life.ย ย 

We'reย committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contactย ย talentacquisitioncanada@canadalife.com. All information provided will be handledย in accordance withย applicable laws and Canada Life policies. ย 

Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted.ย 

#LI-Hybridย