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Data engineer • laval qc
Data Scientist I
Meloche Monnex Inc.50 Boulevard Cremazie West, Montreal, QuebecApplication Engineer
ABBSaint-Laurent, Quebec, CanadaQuality Assurance Engineer
DamotechBoisbriand, QC, CABackend Data Engineer
Astra North Infoteck Inc.Laval, QcData Scientist II
Intact Financial CorporationBourassa, Robert,MontréalVirtual Data Entry Clerk
FocusGroupPanelHampstead, Quebec, CanadaData Warehouse systems development & production Support
Nöord Technologies CorporationLaval, QcData Platform Architect
BRPHochelaga, Quebec, CAelectronics engineer
Media Graph Depot Inc.Saint-Laurent, QC, CAdevops engineer
High Tech GenesisMont-Royal, QC, CABuilding Electrical Engineer
StantecLaval, QCOliver Wyman - Principal Data Engineer
US063 Oliver Wyman, LLCPierre de Coubertin,MontrealData Entry Specialist
Randstad CanadaSaint-Léonard, Quebec, CAProject Engineer
Services Éclipsetech inc.Duvernay, Quebec, CASoftware Engineer I
The Toronto-Dominion Bank (Canada)50 Boulevard Cremazie West, Montreal, QuebecData Analyst
American Iron and MetalLaval, Québec, CanadaEngineer - Technical Studies
Ville de LavalLaval, QC, CARemote AI Data Trainer (Creative & Visual Arts) - AI Trainer
SuperAnnotateBlainville, Quebec, CAEngineer – Civil/Infrastructure (telework possible)
GCM Consultants inc.Rivière-des-Prairies Northeast, Quebec, CA- Kitchener, ON (from $ 84,695 to $ 285,460 year)
- Iroquois Falls, ON (from $ 134,453 to $ 181,248 year)
- Prince George, BC (from $ 92,469 to $ 180,500 year)
- Thunder Bay, ON (from $ 120,000 to $ 177,500 year)
- Glace Bay, NS (from $ 120,000 to $ 177,500 year)
- Niagara Falls, ON (from $ 128,175 to $ 176,710 year)
- Spruce Grove, AB (from $ 153,483 to $ 173,684 year)
- Chatham-Kent, ON (from $ 121,003 to $ 173,490 year)
- Surrey, BC (from $ 112,450 to $ 172,519 year)
- Medicine Hat, AB (from $ 117,476 to $ 170,000 year)
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Data Scientist I
Meloche Monnex Inc.50 Boulevard Cremazie West, Montreal, Quebec- Full-time
Description
:The TD Insurance AI2 team has the mandate to provide business intelligence using advanced analytical techniques such as machine learning and artificial intelligence (AI) models. This group is responsible for doing in-depth analysis to better understand claim payments, client or advisor behaviors, product design and a lot more. This group is also responsible to develop, maintain and calibrate all models used within TD Insurance, including but not limited to loss cost models and customer behavior models.
Within this team, the Underwriting Analytics function is a multidisciplinary team that is dedicated to developing and maintaining underwriting models, rules and guidelines. The team is composed of Actuarial Analysts whose primary task is to gather and analyses data to develop schemes and predictive models that will refine TDI's risk appetite. Collaboration with Underwriting Specialists is also essential; their main role to determine underwriting rules that will respect the government's regulatory guidelines, while being clear and easy to apply for advisors.
Main tasks of the Data Scientist, Underwriting Analytics:
- Using state-of-the-art predictive modelling techniques (GLM, GBM, …) to refine segmentation models and underwriting rules for the general insurance automobile and residential products for the TD Insurance Canadian market
- Provide expertise on mathematical concepts for the broader analytics team and inspire the adoption of advanced analytics and machine learning across the organization.
- Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
- Pushing forward the knowledge of the client's expected risk and profitability to the business by leveraging insight and making data-driven decisions
- Execution and presentation of numerous underwriting analyses aiming to support growth and profitability objectives of TD Insurance
- Development and maintenance of tools to monitor the evolution of our portfolio
- Collaboration with numerous departments within the organization (Underwriting, Underwriting Strategy, Pricing, Product, DAI, Risk Management, Client Service Center, etc.)
Job Requirement
- Bachelor’s or master's degree in one of the following: Statistics, Mathematics, Actuarial Science, Computer science, predictive models
- 3+ years work experience in an industry setting
- Analytical mind and ability to make sound decisions
- Good organizational and time management skills
- Highly adaptable to changing situations
- Programming skills (SAS, VBA, Python, R, etc.) and knowledge of Microsoft Office Suite
- Deep understanding of a broad spectrum of modern machine learning techniques and their practical applications
- Experience in the insurance industry would be an asset
- Effective written and oral communication skills in English and French (an asset)
Who We Are:
As part of TD Bank Group, one of Canada's largest financial institutions, at TD Insurance, we care for Canadian families, making it easy to get the best advice, protection, and support in their moments of need, always.
TD Insurance offers a wide range of products, including General Insurance and Life and Health. Everyday, we strive to make every interaction, product and experience remarkably human and refreshingly simple for more than four million customers who count on us.
Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.
Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.
If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.
Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
Language Requirement (Quebec only):
Sans Objet