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Added 1 month ago
R
Director, DevOps Insights
RBC
Toronto, ON
- Full-time
…What is AI adoption costing us, what is it returning, where is developer productivity improving, and where is it stuck? You'll own the Tokenomics model that forecasts AI spend across…
Added 1 month ago
T
AI/ML Engineer I
TD
Toronto, ON
- Full-time
Programming skills with experience in API and Webhook development using Python, Git Actions and Terraform
Added 1 month ago
IT Network Specialist
IREN
Vancouver, BC
Scripting/automation against network platform APIs (Python, PowerShell)
Added 1 month ago
SC
Sr. Mixed Signal ASIC Systems Engineer
SiTime Corporation
Ottawa, ON
- $96,190 to $132,270 CAD / year
- Full-time
Use python scripts to create automated tests using available lab equipment to verify the functionality of devices
Added 1 month ago
Actuarial Analyst, Reserving
Aviva
Markham, ON
Analyze the adequacy of claim reserve levels using both standard actuarial methods and advanced reserving models including machine learning techniques using Python.
Added 1 month ago
Senior Actuarial Analyst, Reserving
Aviva
Markham, ON
Analyze the adequacy of claim reserve levels using both standard actuarial methods and advanced reserving models including machine learning techniques using Python.
Added 1 month ago
F
Senior Security Operations Analyst, Detection & Response
Financeit
Remote, Canada
- Full-time
- Remote
Strong query and scripting skills (Python preferred), with experience working directly with REST APIs
Added 1 month ago
RB
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Proficient in Python and libraries such as NumPy, Pandas, Matplotlib, OpenCV, Scikit-Learn, TensorFlow, Keras, PyTorch, and PySpark.
Added 1 month ago
E
Senior Software Engineer, AI Platform
eBay
Toronto, ON
- Full-time
…operates backend services that power intelligent workflows and developer-facing capabilities, enabling product teams across eBay to move faster while maintaining high quality and…
Added 1 month ago
Software Development Engineer Intern, ROBOTICS - 2027
Amazon
Toronto, ON
- Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
Added 1 month ago
RB
Principal Data Science and AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Added 1 month ago
DS
Ingénieur Analytique / Analytics Engineer
Data Sciences
Montreal, QC
- Full-time
Added 1 month ago
E
Security Software Developer
Evertz
Markham, ON
- Full-time
We’re looking for a Security Software Developer to join the networking device development team behind Evertz IP switch fabric products, including the EXE and NATX, and Evertz SDI router…
Added 1 month ago
D
Analyst, Credit Risk Models
Deloitte
Toronto, ON
- Full-time
…model performs under stress, develop a benchmark model using Python or R by leveraging statistics, machine learning and artificial intelligence, or translate complex analyses into clear…
Added 1 month ago
EN
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
- Full-time
We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our…
Added 1 month ago
D
Manager, P&C Insurance Model Risk - Financial Engineering & Modelling
Deloitte
Toronto, ON
- Full-time
Strong technical skills including ResQ, Excel, VBA, SAS, Emblem, and Python. Knowledge of programming is an asset
Added 1 month ago
RF
UX Specialist
Rodeo FX
Montreal, QC
- Full-time
Added 1 month ago
Applied Data Scientist - Contract
Arcurve Inc.
Calgary, AB
Expert-level Python and experience with the modern machine learning stack, including scikit-learn, PyTorch, and statsmodels or equivalent libraries.
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
Added 1 month ago
A
Director of AI
APPLY
Toronto, ON
- Full-time
Hands-on proficiency in Python and experience with modern application, data, and AI engineering frameworks.
Added 1 month ago
TT
Software Test Leader
Teledyne Technologies Incorporated
Richmond, BC · Canada - Richmond, BC
- Full-time
Required: Expertise in Python and C/C++ development environments.
Added 1 month ago
RB
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
Royal Bank of Canada
Toronto, ON
- Full-time
Experience in software development with proficiency in Python, Java, or C++.
Added 1 month ago
FF
Staff Applied AI Engineer
Forward Financing
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
Demonstrated experience as a backend software engineer with strong programming skills (Python preferred; experience with Ruby or Go is a plus).
Added 1 month ago
M
Director, Center for Inclusive Growth - Tech for Good
Mastercard
Toronto, ON
- Full-time
Experience with machine learning methods and data mining, utilizing advanced analytical techniques, algorithms, and methodologies (Python, R, SAS, etc.) preferred
Added 1 month ago
RF
UX Specialist
Rodeo FX
Montreal, QC
- Full-time

Arcurve Inc.

Applied Data Scientist - Contract

Calgary, AB, Canada

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Job details

Posting language: English
Posted: Sep 9, 2026

Original job description

Arcurve is one of North America’s leading full-service technology, advisory and software development companies. In 2006, we began with a belief that there was a better way to deliver professional services in the technology industry. Since then, we have completed more than 1000 projects for clients ranging from start-ups to Fortune 500 companies. From our office in Calgary and hubs in Halifax, Houston, and Vancouver we deliver exceptional results for our clients in a diverse range of industries including telecommunications, oil and gas, transportation, private equity, gaming, infrastructure, software, finance, and hospitality.

At Arcurve, we believe that work should be an enjoyable experience and that the best “aha” moments come through team learning and continuous motivation. We know the key to success is collaboration, and that you can’t put a value on accountable, transparent, and authentic interactions. We strive to deliver exceptional service while creating lasting relationships with our employees, our students, our clients, and our community.

We’re looking for an authentic, collaborative, and accountable Applied Data Scientist to join the Arcurve team.

YOU ARE

Passionate about technology
An authentic and creative human
Driven to succeed
A believer in the importance of teamwork
Community-minded
An expert problem solver
Someone who thrives on challenge
Motivated by exceptional results
Someone who cares about your clients

THE GOAL

To deliver best-in-class technical solutions across a broad array of clients in different industries utilizing the tech stack best suited to solving the problem with a focus on delivering business value for our clients.

THE ROLE

Arcurve delivers applied machine learning for clients operating in complex technical environments. Our project portfolio spans computer vision, timeseries forecasting, causal analysis, and large language model and agentic systems.

As a Data Scientist, you will own the analytical approach on client engagements. You will frame the problem, select or design the method, define how success is measured, and implement a solution of sufficient quality to run in production. You will work alongside a Data Engineer who owns the pipelines and platform, which allows you to concentrate on the modelling itself.

This is an applied role. Theoretical depth matters, and so does the ability to deliver clean, maintainable code that a colleague can extend without assistance.

THE RESPONSIBILITIES

Design, develop, and validate machine learning models across a range of problem domains and data types.
Establish evaluation criteria and testing strategy before development begins, and measure performance against them.
Translate ambiguous business problems into well-defined analytical ones, and select methods that are appropriate to the constraints rather than to fashion.
Design and evaluate LLM and agentic systems, including the guardrails required for enterprise deployment.
Define data models and semantic structures that support reliable AI-driven analysis.
Partner with data engineering to move models into production and monitor their behaviour over time.
Present findings, methodology, and limitations to technical and business stakeholders.

THE REQUIREMENTS

Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field, or equivalent practical experience.
Demonstrated experience as a Data Scientist or Machine Learning Engineer, including models deployed to production and maintained there.
Expert-level Python and experience with the modern machine learning stack, including scikit-learn, PyTorch, and statsmodels or equivalent libraries.
Strong SQL.
Solid grounding in statistics, probability, and linear algebra, sufficient to reason about uncertainty and model assumptions rather than only reporting metrics.
Working knowledge of Databricks and/or Snowflake, and experience operating in a Spark-backed environment.
Familiarity with MLOps practice, including experiment tracking, model registry, versioning, monitoring, and retraining.
Experience delivering in a major cloud environment, with Azure preferred and AWS a strong second.
Established software engineering habits, including version control, code review, and automated testing.
Excellent written and verbal communication, including the ability to explain and defend methodology to stakeholders who will challenge it.

THE PERKS

A fun work atmosphere that values equity, diversity and inclusion.
Competitive contractor rates.
Hybrid work environment and flexible scheduling.
6-month contract with the possibility of extension.

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More about this job

Responsibilities

You will design, develop, and validate machine learning models while translating ambiguous business problems into well-defined analytical solutions. Additionally, you will partner with data engineering teams to deploy models into production and monitor their performance over time.

Requirements

Candidates must hold a bachelor's degree in a quantitative field and possess demonstrated experience deploying machine learning models to production. Expert-level proficiency in Python, SQL, and familiarity with modern MLOps practices and cloud environments are required.

Skills

Machine learning
Python
SQL
Scikit-learn
PyTorch
Statsmodels
Databricks
Snowflake
Spark
MLOps
Azure
AWS
Computer vision
Timeseries forecasting
Large language models
Software engineering

Benefits

Fun work atmosphere
Equity, diversity and inclusion
Competitive contractor rates
Hybrid work environment
Flexible scheduling

Visa sponsorship

Not detected in the job text

Keywords

Applied Data Scientist
Machine Learning
Python
SQL
Scikit-learn
PyTorch
Statsmodels
Databricks
Snowflake
Spark
MLOps
Azure
AWS
Computer Vision
Timeseries Forecasting
Large Language Models
Agentic Systems
Software Engineering
Version Control
Automated Testing
Data Modeling
Statistics
Probability
Linear Algebra
Production Deployment
Consulting
Technology
Data Science
Artificial Intelligence
Analytical Modeling

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