28 Emplois pour Data Science - Canada

Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values – Care, Commitment, Community, and Confidence.Aviva Canada is one of the country’s leading property and casualty insurance providers, offering coverage for homes, vehicles, businesses, and more. At Aviva, we’re committed to helping Canadians live confidently by protecting what matters most—providing peace of mind with the right insurance for life’s unexpected moments.We’re proud to be recognized as a Top Employer, known for our inclusive culture, forward-thinking mindset, and leadership in data-driven innovation. At Aviva, you’ll find a workplace that values curiosity, collaboration, and continuous growth—where your ideas can help shape the future of insurance.Looking to join a recognized Top Employer known for data-driven innovation?As a Senior Actuarial Analyst on our Risk Sharing Pool Data Science team, you’ll transform complex data into strategic insights that drive real-world impact. By applying advanced analytics and predictive modeling, you’ll help shape key decisions and uncover opportunities for innovation. Working alongside a collaborative team of actuaries and data scientists, you’ll be part of a forward-thinking environment where actuarial science meets cutting-edge data science. If you're passionate about leading with data and making a difference—this is your opportunity.What You’ll Do:Translate complex data into actionable insights to support Risk Sharing Pool strategies, long-term planning, and scenario analysis.Design and implement advanced actuarial models to analyze Risk Sharing Pool performance, trends, and emerging risks.Apply statistical and machine learning techniques to improve the accuracy and efficiency of predictive models.Collaborate cross-functionally with data scientists, underwriters, and actuarial professionals to align analytical solutions with business objectives.Communicate analytical findings clearly to both technical and non-technical partners, delivering timely, actionable recommendations that drive strategic decisions.Foster innovation and continuous improvement by mentoring colleagues, sharing actuarial expertise, and contributing to the evolution of data science practices.What You’ll Bring:Undergraduate degree in Actuarial Science, Data Science, Mathematics, Statistics, or a related field.Minimum of 3–5 CAS exams.Minimum 3 years of P&C work experience.Actuarial curiosity to learn and explore new solutions.Strong problem-solving and analytical skills.Proficiency in Python and familiarity with software engineering best practices (e.g., modularity, code reuse, documentation).Experience with SAS and VBA is an asset.Excellent communication skills and the ability to explain complex concepts to diverse audiences.A collaborative approach and eagerness to learn and grow within a high-performing team.What You’ll Get:Robust Actuarial Student Program to support actuarial students in becoming fully qualified actuaries and future leaders.Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.Outstanding Career Development opportunities.We’ll support your professional development education.Competitive vacation package with the option to purchase 5 extra days off per year.Employee driven programs focused on gender, LGBTQ+, origins, diversity and inclusion.Corporate wellness programs to support our employees’ physical and mental health.Hybrid flexible work model.Please note that we may use AI tools to help us through the recruitment process. This is a new position which has been posted both internally & externally.Aviva Canada has an accommodation process in place to provide accommodations for employees with disabilities. If upon commencement of employment you require a specific accommodation because of a disability, please contact your Talent Acquisition Partner so that an appropriate accommodation can be arranged. This process applies throughout your career with Aviva Canada.

Job DescriptionWhat's the opportunity?You will lead Fraud Management(FM) Machine Learning(ML) and Artificial Intelligence(AI) advancements, develop strategy for predictive fraud detection ML models and explore ML/AI technique application. You will set standards for ML model development, ensuring consistency, accuracy and repeatability, collaborate with partners and work with Fraud Strategy, Fraud IT and Enterprise Model Risk Management(EMRM) on emerging fraud risks, solution design and model validation frameworks. You will fully comprehend the technical architecture supporting the Fraud decisioning ecosystem and how it supports DSA detection requirements. As a Subject Matter Expert (SME) on FM initiatives, you will collaborate with stakeholders at varying levels of seniority.What will you do?Lead the development and implementation of the Data Science Machine Learning (ML) strategy and act as key point of contact for all ML modelsDevelop supervised fraud detection models and explore opportunities for unsupervised/anomaly detection applicationsPlan timelines, resource allocation, standards and best practices for ML model development with DS&I and be responsible for technical validation exercises for new model deploymentsCollaborate effectively with partners in Fraud IT on continuous improvement of the fraud detection ecosystem, understanding the technical requirements and their impact on the business users in DSAWork with EMRM to enable efficient model validation and develop a strong relationship with Fraud Strategy partners focused on identifying emerging fraud risks and how the application of ML can minimize these risksIdentify opportunities and develop solutions to automate/enhance processes through analytical tools and workflows; and utilize technology tools to build the most effective solution; Python, R, Spark, PySpark, etc.Provide thought leadership to support Fraud Management’s key priorities where there is a dependence on data analytics, machine learning or data engineeringLeverage expertise with ML and programming to provide support to the rest of the DSA team as requiredWhat you need to succeedMust have:5+ years of experience in Machine Learning, data mining and statisticsStrong practical knowledge of, and proven experience with, analytical software packages and programming languages: Python, R, SQL, etc.Working knowledge of Big Data Framework (Hadoop, etc.)Strong understanding of version control (Git/GitHub)Strong problem solving, research and quantitative skillsExceptional time management and organizational skills, ability to manage multiple projects simultaneously and prioritize workload effectivelyProven ability to perform complex data analysis on large volumes of dataProfessional oral and written communication and presentation skills, including the ability to effectively communicate analytical recommendations to both technical and non-technical audiences.Knowledge of Canadian banking and payment industry, payments transaction data and financial fraudBachelor’s degree in a quantitative disciplineNice to have:Graduate degree in a quantitative disciplineExperience with Docker and KubernetesExperience with Cloud technologies (Azure, AWS, OpenShift)Prior experience in fraud detection and data analyticsWhat’s in it for you?We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.A comprehensive Total Rewards ProgramLeaders who support your developmentAbility to make a difference and lasting impactOpportunity to take on progressively greater accountabilitiesJob SkillsActuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)Additional Job DetailsAddress:YORK MILLS CENTRE, 36 YORK MILLS RD:TORONTOCity:TorontoCountry:CanadaWork hours/week:37.5Employment Type:Full timePlatform:PERSONAL & COMMERCIAL BANKINGJob Type:RegularPay Type:SalariedPosted Date:2025-08-26Application Deadline:2025-09-12Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveInclusion and Equal Opportunity EmploymentAt 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.Join our Talent CommunityStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

Job Description What is the opportunity? In this role, you will become the subject matter expert for Cards and Payments Data, playing a key role in leading the BI Tool Tableau development within the Decision Management team. The role will drive superior business results, by providing key strategic insights and recommendations on new and existing business opportunities, through in-depth knowledge of the RBC data warehouse environment and data lake. This role will also champion the use of deep analytic rigour as the basis for the decision management methodology, as well as leveraging all available sources of data to create value within the business.What will you do? BI Tool & Analytic support Transform the way cards and payments use data by developing advanced reporting and analytics to serve external and internal clients.Develop new methodologies and business analytical tools to address complex business issues. Identify, measure, and monitor the impact and success of new and existing initiatives, including but not limited to pricing, acquisition, and portfolio management.Coach/Mentor junior team members in term of building proper and impactful Tableau reportsData AnalysisBecome the data subject matter expert (SME) for Cards, Payments and Loyalty, Retail, Small business and Commercial credit card holders.Support the roll-out of key business projects and ensure data and analytics capabilities are developed on time and on budget.Help in data preparation for complex analytical projectsResponsible for the rapid identification, prioritization and deployment of reporting and analytics to define new potential business opportunities and to make well informed decisions (short and long term) through the use of internal, industry and competitor data.Provide and/or support reporting requests, on cards, payments, and loyalty clients and for tracking the Moneris Transformational Program to appropriate groups (both internal and external), as required.Value Added ConsultationBe a thought leader within the Reporting COE, applying a strategic lens to the development of reporting insights, advancing technical capabilities and influencing an environment of continuous improvement.Lead or co-ordinate projects with other partner groups to meet business requirements on behalf of Cards & Payments that are completed using other Centre’s of Excellence.Support senior management with the Reporting & Analytics workstream of the Moneris Transformation Program (MTP) as part of the Commerce & Payment mega-journeySupport senior management by analyzing new business opportunities and providing recommendations and support in developing business cases.Frequently interact with partners to understand their business processes and objectives in order to define/recommend data & reporting solutions to meet those objectives. Build and manage effective relationships with key stakeholders, functional groups and other relevant members of the enterprise and our T&O partners.Participate in decision making related to ongoing prioritization and reprioritization of work to accommodate evolving business priorities and changing needs.What do you need to succeed? Must have:4+ years of experience with Tableau5+ years of experience with relational databases (Db2, MySQL, Teradata) as well as 2+ years of experience with big data environment / processing tools such as Hadoop (Hive, HDFS, Pig) and Apache SparkStrong coding experience in programming languages like SQL, PythonStrong proficiency with statistical software – SASEffective storytelling skills – written and verbal. Produce simple, concise presentations and visualizations to clearly communicate to senior leadership. Data translation: Insights, Business Implications and Business Recommendations.Demonstrated ability to work collaboratively through impact and influence in a cross-functional environment, as well as independently with initiative taking ownership.Problem solver and logical thinker who can trace back and identify root cause of issues and articulate impacts of changesA ‘Growth Mindset’ – embraces new data mining tools and different analytical techniques to generate impactful insights. Proactive and inquisitive mindset, continuously seeking opportunities to improve existing reporting, processes and streamline activitiesProven ability to manage multiple projects.Nice to have:Degree in Computer Science, Information Technology or equivalent related experience Certification in Tableau and/or relational databasesKnowledge of credit cards, payments, and/or bankingKnowledge of RBC databases and RBC data warehouse environment.Experience with database systems and data management.What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.Ability to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high-performing teamOpportunities to do challenging workJob SkillsBig Data Analytics, Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research DocumentsAdditional Job DetailsAddress:RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOCity:TorontoCountry:CanadaWork hours/week:37.5Employment Type:Full timePlatform:PERSONAL & COMMERCIAL BANKINGJob Type:RegularPay Type:SalariedPosted Date:2025-07-23Application Deadline:2025-09-10Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveInclusion and Equal Opportunity EmploymentAt 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.Join our Talent CommunityStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

About the Role As a machine learning engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models. You will develop and deploy new products at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers.In addition to contributing to feature and service development, you must have an approach of continuous improvement, passion for quality, scale, and security. You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved. You also should have a product approach and strong intuition around how ML can drive a better customer experience. Lastly, a strong sense of ownership and teamwork are essential to succeed in this role. Key Responsibilities:Own exploration, design and execution of advanced ML models, algorithms and frameworks that deliver value to our users.Apply machine learning techniques including LLMs, knowledge graphs, deep learning including generative models, natural language understanding, and named entity recognition to analyze large sets of HR and Finance-related text data, and design and launch pioneering cloud based machine learning architectures.Own the performance, scalability, metric based deployed evaluation, and ongoing data driven enhancements of your products.Keep abreast of the latest advancements in NLP research, techniques, and tools and apply this knowledge onto ML Features.Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.About YouSenior Machine Learning Engineer:Basic Qualifications:Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent5+ yrs experience as a member of a machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation5+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, Huggingface3+ years of professional experience in building services to host machine learning models in production at scale with cloud computing platforms (e.g. AWS, GCP, etc.)3+ years of professional experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use casesMachine Learning Engineer III:Basic Qualifications3+ yrs experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation1+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow1+ years of professional experience in building services to host machine learning models in production at scale 1+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases1+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalentOther Qualifications:Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovationDeep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use casesProfessional experience in independently solving ambiguous, open-ended problems and technically leading teamsExcellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholdersProven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvementWorkday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please .Primary Location: USA.CA.PleasantonPrimary Location Base Pay Range: $198,400 USD - $97,600 USDAdditional US Location(s) Base Pay Range: 167,200 USD - 297,600 USDAdditional Considerations: If performed in Colorado, the pay range for this job is 176,000 - 264,000 USD based on min and max pay range for that role if performed in CO.The application deadline for this role is the same as the posting end date stated as below: 08/28/2025