Job Search and Career Advice Platform
  • Jobs
  • Headhunters
  • Free resume review
  • About Us
EN
4,382

Python jobs in Canada

Associate Data Scientist

Manulife

Toronto
Hybrid
CAD 63,000 - 114,000
6 days ago
Be an early applicant
I want to receive the latest job alerts for “Python” jobs

Senior Full Stack Engineer - Developer API, Poe (Remote)

Quora (Poe)

Canada
Remote
CAD 188,000 - 260,000
7 days ago
Be an early applicant

German-speaking Solution Architect, #TSCM-41602

Eleks

Canada
Remote
CAD 100,000 - 130,000
7 days ago
Be an early applicant

Engineering manager(s), manulife bank

Société Financière Manuvie

Southwestern Ontario
Hybrid
CAD 94,000 - 175,000
7 days ago
Be an early applicant

Senior Software Engineer - Virtualization and SIL Integration

General Motors of Canada

Markham
Hybrid
CAD 90,000 - 120,000
7 days ago
Be an early applicant
discover more jobs illustrationDiscover more opportunities than anywhere else. Find more jobs now

Senior Software Developer, Web3

Robinhood

Toronto
On-site
CAD 145,000 - 170,000
7 days ago
Be an early applicant

Supply Chain Specialist

Zs Associates

Toronto
Hybrid
CAD 80,000 - 100,000
7 days ago
Be an early applicant

Treasury Manager

TD

Canada
On-site
CAD 96,000 - 137,000
7 days ago
Be an early applicant
HeadhuntersConnect with headhunters to apply for similar jobs

Virtualization & SIL Integration Engineer - Automotive (Hybrid)

General Motors of Canada

Markham
Hybrid
CAD 90,000 - 120,000
7 days ago
Be an early applicant

Lead Instrumentation

SBQuantum

Sherbrooke
On-site
CAD 80,000 - 100,000
7 days ago
Be an early applicant

Automation Test Engineer (1-Year Contract)

TEEMA Solutions Group

Toronto
Hybrid
CAD 100,000 - 125,000
7 days ago
Be an early applicant

Robotics/Coding/Computer Teacher

Elk Island Catholic Schools

Camrose
On-site
CAD 60,000 - 80,000
7 days ago
Be an early applicant

AI Systems Developer — Scalable, Ethical AI (Flexible Hours, ESOP)

dcbel

Montreal
Hybrid
CAD 100,000 - 130,000
7 days ago
Be an early applicant

AWS Data and AI Consultant

PwC

Vancouver
Hybrid
CAD 103,000 - 172,000
7 days ago
Be an early applicant

Lead Deposits Analytics & Pricing Manager

Scotiabank

Toronto
On-site
CAD 90,000 - 110,000
7 days ago
Be an early applicant

Business Analyst

Insight Global

Mississauga
Hybrid
CAD 70,000 - 90,000
7 days ago
Be an early applicant

Senior Data Engineer — Databricks, Python & AWS (Energy)

Eleks

Canada
Remote
CAD 80,000 - 110,000
7 days ago
Be an early applicant

Principal AI Agent Engineer — Full-Stack & Cloud

Workday

Toronto
Hybrid
CAD 156,000 - 236,000
7 days ago
Be an early applicant

Principal Software Development Engineer, Full Stack

Workday

Toronto
Hybrid
CAD 156,000 - 236,000
7 days ago
Be an early applicant

Senior Data Engineer (energy, #TSCM-42680)

Eleks

Canada
Remote
CAD 80,000 - 110,000
7 days ago
Be an early applicant

Research Software Analyst - Medical Data & ML

University of Toronto

Toronto
On-site
CAD 67,000 - 87,000
7 days ago
Be an early applicant

Research Software Analyst

University of Toronto

Toronto
On-site
CAD 67,000 - 87,000
7 days ago
Be an early applicant

Project Manager, Data

Diagram

Quebec
Remote
CAD 75,000 - 90,000
7 days ago
Be an early applicant

Ingénieur(e) Télécommunications (Temporaire, durée approximative 23 mois)

Hydro-Québec

Montreal
On-site
CAD 67,000 - 139,000
7 days ago
Be an early applicant

Senior Data Developer - BigQuery & IaC | Remote Canada

Diagram

Canada
Remote
CAD 85,000 - 110,000
7 days ago
Be an early applicant

Top job titles:

Bar jobsEngineer Civil Engineering jobsUx jobsData Engineer jobsChemical jobsPhoto jobsAssistance jobsManagement And Operations jobsData Entry Clerk jobsPhysicist jobs

Top companies:

Jobs at AhsJobs at SephoraJobs at NikeJobs at NrcJobs at SyscoJobs at AdidasJobs at AramarkJobs at AtlassianJobs at DatabricksJobs at Mars

Top cities:

Jobs in CalgaryJobs in MississaugaJobs in EdmontonJobs in BurnabyJobs in OakvilleJobs in ReginaJobs in GatineauJobs in AjaxJobs in BarrieJobs in Thunder Bay

Similar jobs:

Python Developer jobsPython Software Developer jobs
Associate Data Scientist
Manulife
Toronto
Hybrid
CAD 63,000 - 114,000
Full time
7 days ago
Be an early applicant

Job summary

A leading financial services provider in Toronto is seeking an Associate Data Scientist to enhance fraud detection using AI. The successful candidate will utilize machine learning and cloud technology to develop sophisticated models, collaborating with various teams. Ideal applicants should have strong programming skills in Python, familiarity with cloud platforms like Azure, and an advanced degree in a relevant field. This role offers a competitive salary and a hybrid work environment.

Benefits

Health and dental benefits
Mental health support
Flexible working environment
Retirement savings plans
Generous paid time off

Qualifications

  • Strong programming skills in Python and familiarity with PySpark/Spark SQL/SparkML.
  • Experience with Generative AI techniques and Azure Databricks.
  • Excellent communication skills and collaboration abilities.
  • Advanced degree required in relevant fields.

Responsibilities

  • Design and refine machine learning models for fraud detection.
  • Utilize Azure Databricks for processing large datasets.
  • Conduct in-depth data exploration to identify patterns.
  • Stay updated on developments in ML and GenAI.

Skills

Python programming
PySpark/Spark SQL/SparkML
Generative AI techniques
Cloud computing (Azure Databricks)
Problem-solving skills
Effective communication

Education

Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering or related fields

Tools

Azure
Databricks
Neo4j
Job description

Join our dynamic Group Functions AI team as an Associate Data Scientist, where you will play a crucial role in enhancing our Global Fraud Center of Excellence. We are seeking a motivated individual with expertise in Machine Learning (ML) modeling, Generative AI (GenAI) integration, and cloud computing. You will develop sophisticated AI models and leverage cloud technologies like Azure and Databricks to process large volumes of data efficiently. Your work will directly contribute to the security and integrity of our global financial services, collaborating with cross‑functional teams to design and implement cutting‑edge fraud detection AI tools.

Position Responsibilities:
  • ML Model Development: Design and refine machine learning models for fraud detection, integrating GenAI techniques to enhance capabilities, with a focus on graph analytics and experience with graph databases like Neo4j being a plus.
  • Cloud Computing: Utilize Azure Databricks and other cloud platforms to efficiently process large datasets, ensuring solutions are scalable and high‑performing.
  • Data Exploration: Conduct in‑depth data exploration and preprocessing to identify patterns, trends, and anomalies within large‑scale datasets.
  • Innovation and Improvement: Stay updated on the latest developments in ML, GenAI, and data processing methods to continuously enhance our anti‑fraud analytics.
  • Scalable Coding: Implement scalable and performance‑optimized coding practices for deploying ML models in cloud environments.
  • Collaboration: Work closely with business partners to translate their requirements into code and with data engineers and ML engineers to integrate data science solutions into existing workflows.
  • Communication: Clearly communicate complex technical concepts and findings in plain English to both technical and non‑technical stakeholders.
Required Qualifications:
  • Strong programming skills in Python and familiarity with PySpark/Spark SQL/SparkML.
  • Experience with Generative AI techniques and cloud platforms, specifically Azure Databricks.
  • Excellent communication skills and the ability to collaborate effectively with diverse teams.
  • Strong problem‑solving skills and the ability to think creatively.
  • Advanced degree (Master's, or Ph.D.) in Computer Science, Data Science, Statistics, Engineering, or related fields.
Preferred Qualifications:
  • 1‑2 years of industry experience (including co‑op) in data science with a focus on fraud detection.
  • Experience building production‑ready models based on very large datasets containing millions of records.
  • Experience in building Q&A bots or agentic solutions for automation.
  • Resilient and adaptable to change, able to pivot based on outcome‑driven or value‑driven needs.
When you join our team:
  • We’ll empower you to learn and grow the career you want.
  • We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.
  • As part of our global team, we’ll support you in shaping the future you want to see.

#LI-Hybrid

Acerca de Manulife y John Hancock

Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite http://www.manulife.com.

Manulife es un empleador que ofrece igualdad de oportunidades

En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.

Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a recruitment@manulife.com.

Referenced Salary Location

Toronto, Ontario

Modalidades de Trabajo

Híbrido

Salary range is expected to be between

$63,100.00 CAD - $113,100.00 CAD.

Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con recruitment@manulife.com para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.

Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con recruitment@manulife.com para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

  • 1
  • ...
  • 33
  • 34
  • 35
  • ...
  • 176

* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

Job Search and Career Advice Platform

Empoweringjob seekers

Tools
  • Jobs
  • Resume review
  • Headhunters
  • Browse jobs
Company
  • About us
  • Careers at JobLeads
  • Site notice
  • Press
  • Reviews
Support
  • Help
  • Partner integration
  • ATS Partners
Social
  • JobLeads Blog
  • YouTube
  • LinkedIn
  • Instagram
  • Facebook
  • Privacy Policy
  • Terms of Use

© JobLeads 2007 - 2025 | All rights reserved