14 Emplois pour Chef De Projet Data - Canada
Data Science Specialist
Montréal, Quebec
Intact Financial Corporation
Aujourd'hui
Emploi consulté
Description De L'emploi
About the roleAt Intact Lab, we leverage machine learning, data science, agility, and UX to transform the customer experience for millions of Canadians. Here, innovation is everyone's responsibility. Are you ready to make your mark?Are you an expert in machine learning or insurance pricing? Are you passionate about advanced analytics and big data? Do you keep up with the latest trends in analytics and jump at the chance to experiment with new tools? We have the perfect opportunity for you!What you'll do here:Be the technical leader who assists in identifying and defining pricing improvement opportunities and helps develop solutions using machine learning and advanced statistics.Ensure that teams build AI systems aligned with business goals and quality expectations, considering sustainability and following best practices and internal policies.Help achieve long-term business objectives by identifying and implementing solutions to highly uncertain problems with the utmost scientific rigor.Influence the technical direction of the lab by making recommendations based on scientific and business outcomes.Contribute to the strategic vision of projects within your business unit by identifying opportunities in existing processes and providing innovative solutions. Rally multiple stakeholders to this vision.Coach and mentor senior actuaries and data scientists and act as a technical reference for management.Validate machine learning solutions and determine their readiness for deployment in production.Help teams maintain a high scientific standard by ensuring adherence to data science standard of practice and participating in their evolution.What you bring to the table:Master's degree or PhD in a relevant discipline (such as, but not limited to: mathematics, computer science, economics, statistics, physics), or any combination of equivalent education and experience, such as a strong background in actuarial sciences (e.g., FCAS).Strong business acumen with prior experience working across multiple business units in large organizations. Expert understanding or approximately 8 years of experience in at least one of the following areas of advanced analytics, modeling, or machine learning: pricing, predictive modeling, time series forecasting, computer vision, natural language processing including generative AI, or any other AI application relevant to insurance.Strong skills in communication, time management, teamwork, and organization. Demonstrated ability to influence peers across teams.Proven experience in delivering complex projects with a high level of autonomy.The position requires programming expertise, preferably in Python and its popular libraries/frameworks such as scikit-learn, xgboost, pytorch, etc. Candidates must either show their acquired skills or demonstrate their ability to acquire them.Ability to perform advanced data analyses using cloud-based data analytics platforms like Databricks or AWS SageMaker is a plus. More broadly, knowledge of cloud solutions such as AWS and practical experience in building solutions integrating its services is a plus.What we offer Our hybrid work model provides the balance between working from home and enjoying meaningful in-person interactions.Working here means you'll be empowered to be and do your best every day. Here is some of what you can expect as a permanent member of our team: A financial rewards program that recognizes your success An industry leading Employee Share Purchase Plan; we match 50% of net shares purchased An extensive flex pension and benefits package, with access to virtual healthcare Flexible work arrangements Possibility to purchase up to 5 extra days off per year An annual wellness account that promotes an active and healthy lifestyle Access to tools and resources to support physical and mental health, embracing change and connecting with colleagues A dynamic workplace learning ecosystem complete with learning journeys, interactive online content, and inspiring programs Inclusive employee-led networks to educate, inspire, amplify voices, build relationships and provide development opportunitiesInspiring leaders and colleagues who will lift you up and help you grow A Community Impact program, because what you care about is a part of what makes you different. And how you contribute to your community should be just as unique.
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0
PhD Data Science Consultant
Aligned Labs
Aujourd'hui
Emploi consulté
Description De L'emploi
Looking to expand our team with 15 talented PhD Data Scientists for part-time REMOTE work supporting AI research. Projects start at $60-90 USD / hour.
Do you have a PhD in data science or statistics and 5+ years experience at a highly reputable institution (university, company, lab, or government organization)? Are you looking to supplement your income with high-paying, fully-remote freelance projects at the world's top AI research and frontier model companies?
Join our talented community of statistics experts supporting the world's leading AI companies, and be competitively compensated for your hard-earned skills and insights. Statistics projects start at $0 to 90 USD / hour for newly approved experts and scale upwards of 200 USD / hour for our highest performing experts.
Visit Aligned Lab to apply:
About Aligned
At Aligned, we have built a platform that connects the world’s most talented professionals to freelance projects at AI companies in need of their expertise. From doctors and scientists to engineers and business professionals, the Aligned community comprises the top 10% of experts and freelancers in every domain.
Unlike low-skill freelance work on traditional consulting platforms, our community of experts set their own pay and are exclusively matched to the top-paying projects at the world's leading AI research companies.
How it Works
- Sign up at and complete the process to verify your identity and experience.
- Once approved as an expert on our platform, you will become immediately eligible to be assigned to AI projects that match your desired pay rate.
- While the work is highly varied, projects will typically involve creating complex real-world problems in your field from scratch, reviewing AI-generated content, and explaining complicated concepts to non-technical audiences.
- Projects are paid hourly and start at $6 - 90 USD / hour for newly approved experts. You will be paid bi-weekly.
Minimum Qualifications
- You are a native or fluent English speaker and can confidently write at the university level.
- You have a PhD in data science, statistics or related field from a reputable university.
- You have a minimum of 5 years of statistics or data science experience at a highly regarded organization.
- You have proven experience applying data science and/or advanced statistical methods to real-world problems with measurable impact.
- You possess exceptional communication skills, with a proven ability to explain complex concepts clearly to both expert and non-expert audiences.
Benefits
- Competitive Compensation. Set your own rates and work on your own terms.
- Flexible Remote Projects. All jobs are fully remote with flexible hours.
- No-Stress Matching. No need to search for jobs or promote yourself. We do the work.
- Expert Community. Gain access to a network of like-minded experts and professionals.
- Impact on the Future of AI. Regularly contribute to unreleased AI projects at the world's top AI research companies.
Join the Aligned community of global professionals and domain experts powering the technology of tomorrow! Learn more and apply here:
Désolé, cet emploi n'est pas disponible dans votre région
1
PhD Data Science Consultant
Aligned Labs
Aujourd'hui
Emploi consulté
Description De L'emploi
Looking to expand our team with 15 talented PhD Data Scientists for part-time REMOTE work supporting AI research. Projects start at $60-90 USD / hour.
Do you have a PhD in data science or statistics and 5+ years experience at a highly reputable institution (university, company, lab, or government organization)? Are you looking to supplement your income with high-paying, fully-remote freelance projects at the world's top AI research and frontier model companies?
Join our talented community of statistics experts supporting the world's leading AI companies, and be competitively compensated for your hard-earned skills and insights. Statistics projects start at $0 to 90 USD / hour for newly approved experts and scale upwards of 200 USD / hour for our highest performing experts.
Visit Aligned Lab to apply:
About Aligned
At Aligned, we have built a platform that connects the world’s most talented professionals to freelance projects at AI companies in need of their expertise. From doctors and scientists to engineers and business professionals, the Aligned community comprises the top 10% of experts and freelancers in every domain.
Unlike low-skill freelance work on traditional consulting platforms, our community of experts set their own pay and are exclusively matched to the top-paying projects at the world's leading AI research companies.
How it Works
- Sign up at and complete the process to verify your identity and experience.
- Once approved as an expert on our platform, you will become immediately eligible to be assigned to AI projects that match your desired pay rate.
- While the work is highly varied, projects will typically involve creating complex real-world problems in your field from scratch, reviewing AI-generated content, and explaining complicated concepts to non-technical audiences.
- Projects are paid hourly and start at $6 - 90 USD / hour for newly approved experts. You will be paid bi-weekly.
Minimum Qualifications
- You are a native or fluent English speaker and can confidently write at the university level.
- You have a PhD in data science, statistics or related field from a reputable university.
- You have a minimum of 5 years of statistics or data science experience at a highly regarded organization.
- You have proven experience applying data science and/or advanced statistical methods to real-world problems with measurable impact.
- You possess exceptional communication skills, with a proven ability to explain complex concepts clearly to both expert and non-expert audiences.
Benefits
- Competitive Compensation. Set your own rates and work on your own terms.
- Flexible Remote Projects. All jobs are fully remote with flexible hours.
- No-Stress Matching. No need to search for jobs or promote yourself. We do the work.
- Expert Community. Gain access to a network of like-minded experts and professionals.
- Impact on the Future of AI. Regularly contribute to unreleased AI projects at the world's top AI research companies.
Join the Aligned community of global professionals and domain experts powering the technology of tomorrow! Learn more and apply here:
Désolé, cet emploi n'est pas disponible dans votre région
2
Senior Actuarial Analyst, Data Science
Toronto, Ontario
Aviva
Aujourd'hui
Emploi consulté
Description De L'emploi
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.
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3
Lead Data Scientist, Fraud Data Science & Innovation
Toronto, Ontario
RBC
Aujourd'hui
Emploi consulté
Description De L'emploi
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.
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