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Added 4 months ago
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Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
At Slalom, we co-create modern technology and software products with clients who are ready to accelerate their digital product development. We imagine how things can be made better, then…
Added 4 months ago
MN
Senior Sales Operations Analyst - Ottawa
March Networks
Ottawa, Ontario
- Full-time
Advanced proficiency in Salesforce or other CRM software systems and a strong command of data analysis tools (excel, tableau, python)
Added 1 month ago
TC
Machine Learning Engineer - Express Scripts Canada
The Cigna Group
Mississauga, ON
- Full-time
- Other
The role blends hands-on data engineering (Oracle + ETL), model development (unsupervised learning), and API serving (Python/FastAPI), with close collaboration across business teams. You’ll…
Added 3 months ago
CH
Machine Learning Engineer - Express Scripts Canada
Cigna Healthcare
Mississauga, ON
- Full-time
The role blends hands-on data engineering (Oracle + ETL), model development (unsupervised learning), and API serving (Python/FastAPI), with close collaboration across business teams. You’ll…
Added 2 months ago
AN
Senior Software Engineer, Linux Kernel
Arista Networks
Vancouver, BC
- Full-time
…advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our…
Added 2 months ago
AN
BIOS Senior/Lead Software Engineer
Arista Networks
Vancouver, BC
- Full-time
…advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our…
Added 2 months ago
AN
Expert/Principal Software Engineer
Arista Networks
Vancouver, BC
- Full-time
Independently implement solutions to small-sized problems in our EOS and related software, using the C, C++, and python programming languages.
Added 2 months ago
AN
Senior/Lead Software Engineer
Arista Networks
Vancouver, BC
- Full-time
Independently implement solutions to small-sized problems in our EOS software, using the C, C++, and python programming languages.
Added 2 months ago
AN
Senior/Lead Software Engineer, Layer1
Arista Networks
Vancouver, BC
- Full-time
…advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our…
Added 2 months ago
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Technical Lead / Senior Developer - Software Development
EY
Toronto, ON
- Full-time
…social wellbeing. Our extensive benefits include comprehensive medical, dental, and prescription drug coverage, as well as mental health benefits, a robust Employee Assistance Program and…
Added 4 months ago
CG
Embedded Software Engineer - DO 178
CS GROUP
Montreal, Quebec
- Full-time
Today CS Group Canada is looking for a Software Verification Engineer. Their role will be to test embedded software applications on aircraft and space system such as engine control, flight…
Added 2 months ago
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Technical Lead / Senior Developer - Software Development
EY
Edmonton, AB
- Full-time
…social wellbeing. Our extensive benefits include comprehensive medical, dental, and prescription drug coverage, as well as mental health benefits, a robust Employee Assistance Program and…
Added 5 months ago
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Java Developer
Synechron
Montreal, Quebec
- $85,000 to $95,000 CAD / year
- Full-time
We are seeking a skilled and proactive Java Developer to join our dynamic team. The ideal candidate will participate in all phases of the Software Development Life Cycle (SDLC), deliver…
Added 4 months ago
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Structurer
TradingHub
Toronto, Ontario
- Full-time
Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use…
Added 3 months ago
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Lead Applied Scientist
AXIS (AXIS Capital)
Halifax, NS
- Full-time
Strong programming ability in Python and fluency with the modern AI and data science tooling, including frameworks for building with large language models alongside libraries such as…
Added 2 months ago
Engineering Manager, Platform Infrastructure
OpenTable
Toronto, ON
Hands-on experience in Linux systems administration and practical experience with scripting or automation using Python, Go, or Bash.
Added 4 months ago
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Java Developer with QA
LTM
Ontario · Ontario, Canada
- $85,000 to $120,000 USD / year
- Full-time
Handson test automation development experience using various languages like Java Python and TypeScript
Added 4 months ago
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Senior Automation Engineer
Tubi
Toronto, Ontario
- Full-time
Strong programming skills in JavaScript/TypeScript (preferred), or Python/Java.
Added 4 months ago
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Senior QA Automation Engineer
Tubi
Toronto, Ontario
- Full-time
Help drive a shift-left testing approach by engaging early in the software development lifecycle, partnering with product managers, engineers, and data scientists to identify quality risks,…
Added 4 months ago
ES
Senior Technical Artist - EA SPORTS FC
EA SPORTS
Vancouver, British Columbia
- Full-time
Proficient scripting/programming language such as Python or C#. (C++ is a bonus, but is not required).
Added 4 months ago
TS
Linux Administrator
T-Rex Solutions
Remote, Canada
- $75,000 to $112,000 USD / year
- Full-time
- Remote
Develop and maintain automation scripts using Bash, Python, and other relevant scripting languages.
Added 1 month ago
Senior Consultant- Finance Optimization- Financial Accounting and Advisory Services- Assurance
EY
Toronto, ON
Experience in using software tools such as the MS Office suite, process documentation (e.g., Visio, LucidChart), financial/data modeling, data analytics (e.g., Python)
Added 1 month ago
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Architect - FinOps
Zynga
Toronto, ON
- $156,140 to $206,140 CAD / year
8+ years of hands-on experience with software programming (preferably Python)
Added 3 months ago
CC
Senior Product Engineer - Onsite Position
Curtiss-Wright Corporation
Ottawa, ON · Canada-Ottawa
- Full-time
- Scripting/automation experience (Python or similar)
Added 2 months ago
AW
Senior Software Developer - Real-Time Processing Platform
Arctic Wolf
Waterloo, ON
- $75,000 to $246,000 CAD / year
- Full-time
Our mission is simple: End Cyber Risk. We’re looking for a Senior Developer to be part of making that happen.

AXIS (AXIS Capital)

Lead Applied Scientist

Halifax, NS, Canada

For this position, we currently expect to offer a base salary in the range of $110,000 - $130,000 CAD (Halifax, Nova Scotia); $175,000 - $200,000 USD (New York, NY) Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location. · Full-time

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Job details

Pay: For this position, we currently expect to offer a base salary in the range of $110,000 - $130,000 CAD (Halifax, Nova Scotia); $175,000 - $200,000 USD (New York, NY) Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location.
Job type: Full-time
Posting language: English
Posted: Jul 28, 2026

Original job description

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.

At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work.

All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.

How does this role contribute to our collective success?

Data and analytics are of critical importance for AXIS. We turn data into information so the business can make decisions with confidence, identify opportunities early, and operate more efficiently. The Lead Applied Scientist is the senior scientific authority in the Data Science and AI Delivery team and is responsible for the quality of the AI the team produces, much of which now uses large language models and agentic approaches. The role leads this work from the point a business problem is framed, through the choice of approach and the build itself, to how the resulting solution is evaluated, validated and monitored in production. Working alongside the engineering lead, it sets the scientific standards that give the business confidence in what the team delivers.

What will you do in this role?

You will lead the team’s approach to solving business problems through advanced analytics and AI, guide how solutions are designed and built, and continue to contribute directly to technical work such as model development, experimentation, code review and solution architecture.
You will lead the design and development of the team’s AI and ML solutions, choosing the right approach for each problem, with large language models and agentic AI increasingly central to the work.
You will bring mathematical and statistical rigor to how problems are framed, how uncertainty is handled, and how the team judges whether a solution is good enough.
You will build and evaluate solutions to the most demanding problems the team takes on, review the work of others to keep standards high across the delivery scrums. and act as the point of escalation for difficult technical decisions.
You will hold sign-off on scientific approach and solution quality.

In this role you will be responsible for:

Leading the design and development of the team’s AI/ML solutions, and framing business problems so that the right approach can be chosen and the result measured against clear success criteria.
Leading the design of generative and agentic AI solutions, including prompting, retrieval augmented generation, tool use and multi-step agent workflows, and the techniques needed to make them accurate and reliable.
Selecting the right approach for each problem, with large language models and agentic AI to the fore, and drawing on deep learning, machine learning and statistical methods where they are the better fit.
Owning the evaluation and accuracy methodology for the team’s models, agents and AI systems, including the metrics, test sets and acceptance thresholds that govern performance, with proper treatment of uncertainty and statistical significance, and the monitoring needed to detect drift in production.
Leading the team’s responsible AI work, including bias and fairness testing, explainability, and validation of model and agent behavior against regulatory expectations.
Solving the team’s most challenging problems, such as extracting information from unstructured documents, automating expert workflows with agents, optimization, forecasting, and portfolio and claims analytics.
Owning the scientific design decisions on each solution, including choice of approach, model and method selection, and evaluation strategy, while working closely with the engineering lead on architecture and deployment.
Writing production quality code and building solutions directly, particularly on novel or higher risk work.
Setting the experimentation, evaluation, coding and documentation standards for the team, and raising them through code review, pairing and technical mentoring.
Explaining methods, results and trade-offs clearly to business stakeholders, model risk, and governance forums.

What you need to have

Strong, hands-on expertise with large language models and generative AI, including prompt engineering, retrieval augmented generation, fine tuning, and the design and evaluation of agentic systems that use tools and operate over multiple steps.
Strong programming ability in Python and fluency with the modern AI and data science tooling, including frameworks for building with large language models alongside libraries such as pandas, NumPy and scikit-learn.
Strong mathematical and statistical foundations, including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error and model behavior.
A sound grounding in machine learning, including model validation and experimental design, applied where it is the right tool for the problem.
Demonstrable experience designing evaluation and validation frameworks for AI systems, including methods for measuring the quality of large language model, retrieval augmented generation and agent outputs.
A strong track record of building AI solutions that solve real business problems and of taking them from prototype to production.
Practical experience with Databricks, MLflow and Spark based data processing.
Working knowledge of responsible AI methods, including bias and fairness testing, explainability techniques, and model risk.
The ability to explain complex technical concepts clearly to non-technical and senior audiences.
A track record of setting technical standards and developing other scientists and engineers.

What we prefer you to have

Experience with agent frameworks and orchestration tools for building multi-step, tool-using AI systems.
Experience in the insurance or reinsurance industry, with an understanding of underwriting, claims or actuarial data.
A postgraduate qualification in a quantitative or computational subject such as computer science, statistics, mathematics or a related field.

Role Level

Expertise: A recognized specialist in applied AI, including large language models and agentic systems, underpinned by strong mathematical and statistical foundations, who sets the scientific approach for the team and advises the wider function. The role typically requires a degree in a mathematical, statistical or computational field, often at postgraduate level, together with substantial experience building and evaluating AI solutions in production.
Relationship Management: Acts as a trusted technical advisor. Influences senior stakeholders and governance forums, represents the scientific view of the function, and develops other members of the team.
Complexity and Strategic Impact: Sets the approach for new and ambiguous problems where no established method exists. The work is strategic, the planning horizon spans quarters, and the decisions affect the reliability and trustworthiness of the team’s models, agents and AI systems.
Autonomy and Authority: Works with a high degree of independence and is the technical authority that others escalate to. Holds sign-off on scientific approach and solution quality.
Contribution: Sets best practice and standards for the design and evaluation of AI systems, including generative and agentic AI, responsible AI and overall solution quality, shapes how the team works, and drives improvements that raise the quality and confidence of the team’s AI work.

Role Factors

In this role, you will typically be required to:

Attend your local office at least three (3) days per week to meet and build relationships with colleagues and the wider business.
Engage in company activities to grow your network and build a strong team culture.

In addition, you will be offered competitive target incentive compensation, with awards based on overall corporate and individual performance. On top of this, you will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more.  

Where this role is based in the United States of America, this role is Exempt for FLSA purposes.

This posting is for an existing vacancy.

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More about this job

Responsibilities

The Lead Applied Scientist will oversee the design and development of AI and machine learning solutions, specifically focusing on large language models and agentic workflows. They are responsible for setting scientific standards, ensuring model quality, and mentoring the team while solving complex business problems.

Requirements

Candidates must possess strong hands-on expertise in generative AI, Python programming, and advanced statistical methods. A proven track record of taking AI solutions from prototype to production and the ability to communicate complex technical concepts to senior stakeholders are essential.

Skills

Large language models
Generative AI
Agentic systems
Python
Machine learning
Statistical modeling
Prompt engineering
Retrieval augmented generation
Data science
Model validation
Experimental design
Databricks
MLflow
Spark
Deep learning
Optimization

Benefits

Medical plans
Health and wellness programs
Retirement plans
Tuition reimbursement
Paid vacation

Visa sponsorship

Not detected in the job text

Keywords

Applied Scientist
Large Language Models
Generative AI
Agentic AI
Python
Machine Learning
Deep Learning
Statistics
Prompt Engineering
Retrieval Augmented Generation
Databricks
MLflow
Spark
Model Validation
Responsible AI
Insurance
Reinsurance
Underwriting
Claims Analytics
Portfolio Analytics
Optimization
Forecasting
Data Science
Software Engineering
Technical Leadership
Bias Testing
Explainability
Linear Algebra
Probability
Solution Architecture

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