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Added 1 month ago
RB
Senior Full Stack Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
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 Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control…
Added 1 month ago
RB
Principal Data Science and AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…agents to interact with infrastructure systems like OpenShift, SQL Server, Apigee, Kafka, Elasticsearch,…
Added 1 month ago
DS
Ingénieur Analytique / Analytics Engineer
Data Sciences
Montreal, QC
- Full-time
3+ années expérience en rédaction de code SQL en tant qu’ingénieur analytique (analytics engineer), analyste de données (data analyst), ingénieur de données (data engineer) ou autres rôles…
Added 1 month ago
TG
Développeur C++
TMX Group
Toronto, ON
- Full-time
Expérience pratique de Java, SQL RDBMS, Linux, Perl, Python et JavaScript
Added 1 month ago
D
Analyst, Credit Risk Models
Deloitte
Toronto, ON
- Full-time
Significant experience and demonstrated ability using Python and SQL. Proficiency in other programming languages such as SAS and R is highly desirable.
Added 1 month ago
N(
Microsoft Fabric Data Engineer
Net2Source (N2S)
Brampton, ON
- Contract
Experience with Azure Data Services (Azure Data Factory| Synapse Analytics| Azure SQL).Knowledge of CI/CD| DevOps| and data governance frameworks.
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
BC
Managed Services Administrator
BearCom Canada
London, ON
- Full-time
Experience deploying and operating database servers including MySQL, PostGres and Microsoft SQL
Added 1 month ago
B
Analyst, Business Intelligence (BI)
Bombardier
Montreal, QC
- Full-time
Proficient with BI tools (Power BI, Power Apps, Power Automate), as well as SQL and advanced Excel.
Added 1 month ago
IC
Systems Engineering, Senior Specialist
Interac Corp.
Toronto, ON
- Full-time
Experience with Active Directory sites and services, Azure AD Connect, Azure AD, AD Certificate Services, Exchange Server, and MS SQL.
Added 1 month ago
Applied Data Scientist - Contract
Arcurve Inc.
Calgary, AB
Added 1 month ago
Intermediate Data Engineer
Arcurve Inc.
Calgary, AB
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
…agents to interact with infrastructure systems like OpenShift, SQL Server, Apigee, Kafka, Elasticsearch,…
Added 1 month ago
R
Senior Full Stack Engineer
RBC
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
Added 2 months ago
Senior Data Analyst
SAIT
Calgary, AB
Experience with Transact-SQL, data warehousing concepts, analytics and reporting tools (Power BI preferred) is an asset.
Added 1 month ago
Software Developer Full Stack Angular/.Net
Brightstar Lottery
Dieppe, NB
We’re looking for a Software Developer III Full Stack (Angular/.NET) to join a collaborative team in a senior-level, hands-on engineering role focused on designing, building, and sustaining…
Added 1 month ago
IR
Co-op Quality Assurance Analyst - Winter 2027 (January to April) - Hybrid
Info-Tech Research Group
London, ON · Toronto, ON
- Full-time
Added 1 month ago
Senior Specialist, Analytics
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Halifax, NS · Calgary, AB
Experience working with large datasets and tools such as SQL, Python, Power BI, SAS, or similar technologies.
Added 2 months ago
OT
Lead Technical Support Specialist
Open Text Corporation
Richmond Hill, ON
- Other
Knowledge of SAP performance analysis, debugging, SQL optimization, and root-cause analysis.
Added 1 month ago
TG
Senior C++ Developer
TMX Group
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
The role of the Senior Application Developer is to provide advanced technical and process oriented skills/knowledge, supported by good communication skills, in the development and support…
Added 1 month ago
IC
Systems Engineering, Specialist
Interac Corp.
Toronto, ON · Interac Corp. Head Office
- Full-time
Experience with Active Directory sites and services (including ADFS), Azure AD Connect, Azure AD, AD Certificate Services, Exchange Server, and MS SQL.
Added 1 month ago
IC
Systems Engineering, Senior Specialist
Interac Corp.
Toronto, ON · Interac Corp. Head Office
- Full-time
Experience with Active Directory sites and services, Azure AD Connect, Azure AD, AD Certificate Services, Exchange Server, and MS SQL.
Added 1 month ago
I
Senior Cloud Security Operations Analyst
Intelcom
Montreal, QC · Service Centre (Montreal) Lab
- Full-time
Proficiency in data analysis query using scripting languages such as Python, PowerShell, Bash, Yara-L, SQL, KQL, SPL or others

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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