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Data scientist • canada

Dernière mise à jour : il y a 5 jours

Data Scientist

0000050007 Royal Bank of CanadaHALIFAX, Nova Scotia, Canada
Temps plein

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking, boosting ...Voir plus

Data Scientist

Royal Bank of Canada>HALIFAX, Canada
Temps plein

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking, boosting ...Voir plus

Sr. Data Scientist

Randstad CanadaToronto, Ontario, CA
Temporaire
Quick Apply

We are seeking a highly experienced Senior Data Scientist to lead the development and implementation of AI-powered analytics solutions for a 36-month engagement.This role is central to enhancing pr...Voir plus

Senior Data Scientist

theScoreToronto, ON
Temps plein

North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences.From casinos and racetracks to online gaming, sports betting and entertainment content, w...Voir plus

Valnet | Data Scientist

Valnet Inc.Montreal, QC, CA
Temps plein
Quick Apply

Location: Montreal Job Type: Full-Time About the Role: We are seeking a data-driven, business-savvy Data Scientist to support our publishing businesses.Reporting directly to the Portfolio Manager ,...Voir plus

Data Scientist

Interac Corp.Toronto
Temps plein

At Interac, we protect both — driving trust, security, and inclusion, so our digital economy thrives.Founded in 1984, Interac connects Canadians through secure digital payments, advanced identity v...Voir plus

Data Scientist

Tundra Talent CommunityToronto, ON, Canada (Hybrid)
Temps plein

Position Title: Data Scientist.Location: Downtown Toronto – Hybrid.As a Data Scientist with expertise in Machine Learning, and advanced analytics you will play a crucial role in advancing our data-...Voir plus

Principal Data Scientist

Farm Credit CanadaRegina, Saskatchewan
Temps plein

Salary Range (plus eligible to receive a performance based incentive, applicable to position) :.Expertise in big-data analytics for financial industry required.Provide informal leadership to an exp...Voir plus

Data Scientist

BDOOakville
Temps plein

Putting people first, every day.BDO is a firm built on a foundation of positive relationships with our people and our clients.Each day, our professionals provide exceptional service, helping client...Voir plus

Data Scientist

businessIn-person
Temps plein

HireArt is helping our client find a Data Scientist to build and optimize data mining and validation frameworks that support an autonomous vehicle’s understanding of its environment.In this role, y...Voir plus

Senior Data Scientist

Company 1 - The Manufacturers Life Insurance CompanyToronto, Ontario
Temps plein

Join our Group Functions AI team as a Senior Data Scientist, where you’ll design and operate large scale AI/ML systems that protect customers and prevent financial crime globally.In this role, you’...Voir plus

Senior Data Scientist

Search AtlasToronto, CA
Temps plein
Quick Apply

Lead the data roadmap at Search Atlas!.Manage resources & partner with leadership to elevate SEO standards.This is a high-impact strategic mission, not just a role.Shape the future with us today.We...Voir plus

Data Scientist

Canadian Tire Corporation, LimitedToronto, ON
Temps plein

Support the development of machine learning models for offer personalization, customer propensity, next-best-product, and related use cases.Explore, clean, and analyze large datasets to uncover ins...Voir plus

Data Scientist

ManulifeToronto, Ontario
Temps plein

This role provides the opportunity to support analytics‑enabled initiatives by developing and delivering data analysis and models that address defined business needs.As part of the MBPS Advanced An...Voir plus

Data Scientist

Accurant InternationalCA
Télétravail
Temps plein
Quick Apply

Hiring Entity: FlexEnergi, a Subsidiary of Accurant International.Salary Range: $160,000 - 200,000 CAD.We are hiring a Data Scientist to lead forecasting and optimization efforts within our platfor...Voir plus

DATA SCIENTIST

RED TICMontréal
Permanent

Collecter, nettoyer et structurer des données issues de sources diverses (bases de données, API, fichiers logs, etc.Concevoir, entraîner et déployer des modèles de machine learning pour résoudre de...Voir plus

Pharmaceutical Data Scientist

Amaris ConsultingToronto, Canada
Temps plein

We are seeking a highly skilled.This role plays a key part in transforming scientific, clinical, manufacturing, and commercial data into actionable insights that accelerate drug development, optimi...Voir plus

Data Scientist II

Intact Financial CorporationMontréal, Quebec, CAN
Temps plein

We’re looking for a Data Scientist II to join our growing team!.Utilize machine learning and advanced statistical methods to identify trends and patterns in complex datasets.Convert complex databas...Voir plus

Sr. Data Scientist

MCD McKesson Canada Corporation / La Corporation McKesson Canada2300 Meadowvale Blvd, CAN, ON, Mississauga
Temps plein

Location: hybrid in Mississauga, ON.This role partners with business stakeholders to translate requirements into technical solutions, ensures robust model governance and performance benchmarking, a...Voir plus

Data Scientist

Data Scientist

0000050007 Royal Bank of CanadaHALIFAX, Nova Scotia, Canada
Il y a 9 jours
Type de contrat
  • Temps plein
Description de poste

Job Description

What is the opportunity?

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking, boosting ensembles in fraud detection and AML, voice assistants in customer service, to algorithmic trading in capital markets. A failure to effectively prepare for and manage emerging model risk related to AI would subject RBC to financial, regulatory, and reputational risks and, as a result, RBC would not be able to provide its clients with the best quality service. Therefore, the AI validation team within RBC’s Enterprise Model Risk Management (RBC Group Risk Management) is tasked with overseeing, assessing, and managing the model risk that may arise from these AI capabilities.

The AI validation team uses machine learning, statistical, and computational strategies to assess model risk. In doing so, RBC is able to identify model weaknesses early and enhance the reliability of production models across all lines of business.

What will you do?

  • Application: You will have the opportunity to work in any of the many areas we work in, across an even wider variety of business functions, such as the following:

Types of Models

Classification, regression, anomaly detection, natural language processing, computer vision, reinforcement learning, recommendation systems, dimensionality reduction, Large Language Models including generative AI

Business Functions

Internal Audit, Cybersecurity, Fraud Management, Anti-Money Laundering, Insurance, Credit Risk, Technology Operations, Identity & Access Management, Human Resources

  • Validation: Your role is to challenge models and identify risks associated with their use – both conceptually and empirically. To that end, you will design and execute validation frameworks, exploring modelling considerations such as conceptual soundness, data processing, metric reproducibility & stability, benchmarking, robustness, uncertainty quantification, fairness, privacy, explainability, implementation controls and more. You will also have the freedom to explore ideas that interest you and build your own models and tools.

  • Research & Development: You will read research papers (established work and state-of-the-art) to enhance how our team validates models and contribute to our knowledge pool. You are encouraged to apply what you’ve learned to real-world problems, develop reusable software packages, and share your insights with others.

  • IT: You will collaborate with cross-functional stakeholders to establish and promote best-practices related to MLOps, tooling and IT infrastructure.

  • Governance: You will work with model developers (data scientists, researchers, engineers) and business stakeholders to inventory applications of AI and machine learning at the bank, determine their materiality, and assess whether they require review.

What do you need to succeed?

Must-have

  • Passionate about learning and staying up-to-date with research and technology

  • Strong communication and interpersonal skills

  • Progress towards a PhD or Master’s degree in Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field

  • Proficient programming skills in Python or a similar language; you should already be comfortable with writing research experiments and be willing to learn how to write clean code.

  • Familiarity with popular machine learning frameworks and libraries

Nice-to-have

  • A risk-oriented mindset: You are curious about the “how” as well as the “why"

  • Publication or prior research experience (applied or fundamental)

  • Experience with version control systems

  • Comfortable with command line tools

What’s in it for you?

As a team, we thrive on the challenge to be our best, encourage progressive thinking for continued growth, and collaborate with one another to deliver trusted advice to help our clients thrive and our communities prosper. We respect and care about all of our team members and support one another in reaching our fullest potential. We work together to make a difference in our communities and to achieve success that is mutual.

This opportunity will provide you with:

  • Leaders who support your development through coaching and managing opportunities

  • Flexibility to work on projects that you are passionate about

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • Opportunities to do challenging work and make a difference

  • Opportunities to build close relationships

#LI-POST
#TECHPJ

Job SkillsClient Counseling, Communication, Critical Thinking, Financial Instruments, Group Problem Solving, Investment Risk Management, Market Risk, Quantitative Methods, Risk ManagementAdditional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-03-16

Application Deadline:

2026-05-31Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur Employment OpportunitiesAt RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.