Machine Learning Engineer Jobs 2026 at Wawanesa Winnipeg Canada
Wawanesa is hiring a Machine Learning Engineer for their Advanced Analytics Exploration team in Winnipeg, Manitoba with annual compensation between $110,000 and $140,000. This hybrid role combines technical expertise with business insight, building predictive models that support decision-making across the insurance enterprise.
Working at Wawanesa means applying cutting-edge machine learning techniques to real-world insurance challenges. If you have Python skills, understand statistical modeling, and bring property and casualty insurance experience, this position offers meaningful work solving diverse business problems through advanced analytics.
What This Position Entails
The Advanced Analytics Exploration team blends actuarial analysis with machine learning engineering to create predictive models driving smarter business decisions. You’ll work with both structured database information and unstructured data sources, applying statistical methods and visualization techniques to uncover insights.
Your responsibilities span understanding business needs and translating them into scalable machine learning workflows. This means talking with pricing teams, reserving departments, claims handlers, and underwriters to grasp their challenges, then building models addressing those specific problems.
Exploratory analysis generates insights for business units and senior leadership. You’ll dig through data looking for patterns, anomalies, and opportunities that traditional analysis might miss. Communicating these findings clearly to non-technical stakeholders requires explaining complex concepts in understandable terms.
Collaboration with Machine Learning Operations teams ensures your models move from development into production environments where they actually impact business operations. You’ll also conduct independent research exploring new algorithms, tools, and artificial intelligence techniques that could benefit the organization.
Model governance and data security compliance matter significantly in insurance. Your work must meet performance standards while protecting sensitive customer information and following regulatory requirements.
Current Opening
Wawanesa is filling one Machine Learning Engineer position for their Winnipeg office with hybrid work arrangements.
Who Should Apply
Educational Requirements
A bachelor’s degree in software engineering, data science, computer science, or related quantitative field is required. Equivalent work experience can substitute for formal education. An advanced degree like a master’s or PhD in quantitative fields strengthens your application.
Technical Skills Needed
Strong programming abilities in Python and SQL form the foundation. You must understand machine learning algorithms and large language models well enough to implement them for business problems.
Knowledge of probability and statistical models enables proper model selection and validation. Experience with code reproducibility and version control systems like Git ensures your work can be maintained and improved by team members.
Industry Experience
Previous experience in property and casualty insurance is required. Understanding insurance business processes, terminology, and challenges helps you build relevant models addressing actual industry needs rather than theoretical exercises.
Experience with Amazon Web Services and Power BI adds value but isn’t mandatory.
Professional Capabilities
Advanced communication skills matter tremendously. You’ll explain technical concepts to business stakeholders who don’t share your technical background. Navigating ambiguity when business problems aren’t clearly defined requires adaptability.
Collaboration across multiple teams including actuarial, analytical, and operations groups demands interpersonal skills alongside technical expertise.
Language Requirements
Full English proficiency is mandatory since this head office role communicates with stakeholders across Canada where English serves as the primary business language.
Age Considerations
No age restrictions apply. Wawanesa evaluates candidates based on qualifications and experience.
Application Steps
Visit the official Wawanesa careers page for this Machine Learning Engineer position.
Review the complete job description confirming you meet the bachelor’s degree requirement and have P&C insurance experience.
Prepare your resume highlighting machine learning projects you’ve completed, Python and SQL work, insurance industry experience, and communication examples where you translated technical work for business audiences.
Complete Wawanesa’s online application form providing accurate employment history and education details.
Submit your application and monitor email for responses from Wawanesa’s recruitment team.
Key Considerations
The hybrid work model requires some office presence in Winnipeg. Clarify specific in-office expectations during interviews to understand weekly scheduling requirements.
Insurance domain knowledge isn’t optional for this role. Generic machine learning experience without P&C insurance background won’t qualify you even with strong technical skills.
The salary range accounts for experience level and capabilities. Your placement within the $110,000 to $140,000 range depends on your background and negotiation.
Application Deadline
Wawanesa hasn’t specified a closing date. They likely accept applications until finding qualified candidates. Applying promptly improves your consideration chances.
Common Questions
What does P&C insurance experience mean exactly?
Property and Casualty insurance covers assets like homes, vehicles, and liability protection. P&C experience means you’ve worked in this insurance sector understanding products like auto insurance, homeowners policies, commercial coverage, and claims processes. Generic insurance experience from life or health insurance doesn’t satisfy this requirement since P&C operates differently. Your background should include exposure to underwriting, pricing, claims, or related P&C insurance functions.
Can I apply if my degree is in mathematics or physics rather than computer science?
Yes, mathematics and physics qualify as related quantitative fields. The position emphasizes quantitative background over specific degree titles. Statistics, engineering, economics, or any field requiring substantial mathematical rigor counts as relevant. What matters is your ability to apply quantitative thinking to machine learning problems combined with your Python programming skills and P&C insurance knowledge.
How much autonomy does this role offer versus following strict directions?
The job description emphasizes independent research, navigating ambiguity, and translating business needs into technical solutions suggesting considerable autonomy. You’ll identify appropriate techniques for business problems rather than implementing predetermined solutions. However, collaboration with multiple stakeholders and adherence to governance requirements provides structure. Expect freedom in technical approach balanced with accountability to business objectives and regulatory compliance. This suits people comfortable with self-direction within organizational frameworks.
Final Thoughts
Wawanesa’s Machine Learning Engineer position offers strong compensation between $110,000 and $140,000 for experienced professionals combining technical machine learning expertise with P&C insurance knowledge. The hybrid Winnipeg location and collaborative team environment provide stability while working on cutting-edge analytics.
If you hold a quantitative bachelor’s degree, demonstrate Python and SQL proficiency, bring P&C insurance background, and communicate technical concepts effectively, apply through Wawanesa’s careers portal emphasizing your insurance industry experience alongside machine learning accomplishments.
For additional opportunities, explore unit manager physical damage jobs 2026 and other insurance career options.
