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746

Machine Learning Engineer jobs in Canada

Data Analyst

Data Analyst
Verisk
Markham
CAD 70,000 - 85,000
Urgently required
2 days ago
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Data Analyst (Remarketing, Risk & Compliance)

Data Analyst (Remarketing, Risk & Compliance)
Kelly Services, Inc.
Vaughan
CAD 60,000 - 80,000
Urgently required
2 days ago

Data Analyst

Data Analyst
Homewood Research Institute (HRI)
Guelph
CAD 70,000 - 90,000
Urgently required
2 days ago

Data Analyst

Data Analyst
Intact Financial Corporation
Montreal
CAD 70,000 - 90,000
Urgently required
2 days ago

Collection Admin (Data Analyst & SQL)

Collection Admin (Data Analyst & SQL)
Cartrack
Markham
CAD 50,000 - 65,000
Urgently required
2 days ago
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AI & Data - Senior Consultant Data Scientist

AI & Data - Senior Consultant Data Scientist
EY
Saint John
CAD 85,000 - 120,000
Urgently required
2 days ago

Data Modeler

Data Modeler
Akkodis group
Toronto
CAD 80,000 - 100,000
Urgently required
2 days ago

FSI Low-Latency AI Solutions Specialist

FSI Low-Latency AI Solutions Specialist
FD Technologies
Toronto
CAD 100,000 - 130,000
Urgently required
2 days ago
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Data Scientist

Data Scientist
FCC / FAC
Regina
CAD 92,000 - 125,000
Urgently required
2 days ago

Analyste informatique – Volet Exploitation TI

Analyste informatique – Volet Exploitation TI
CIUSSS de l'Est-de-l'Île-de-Montréal
Montreal
CAD 96,000 - 129,000
Urgently required
2 days ago

Manager, Machine Learning Engineering

Manager, Machine Learning Engineering
Latinx in AI (LXAI)
Vancouver
CAD 147,000 - 222,000
Urgently required
2 days ago

Lead Data Scientist

Lead Data Scientist
E Inc.
Toronto
CAD 170,000 - 200,000
Urgently required
2 days ago

Customer Master Data Specialist

Customer Master Data Specialist
ABB
Longueuil
CAD 68,000 - 70,000
Urgently required
2 days ago

Data Analyst

Data Analyst
Intact
Toronto
CAD 70,000 - 90,000
Urgently required
2 days ago

Scientifique des données – analyste de bases de données intermédiaire

Scientifique des données – analyste de bases de données intermédiaire
Groupe Civilia Inc.
Longueuil
Remote
CAD 55,000 - 75,000
Urgently required
2 days ago

Data Engineer 2 - 19364

Data Engineer 2 - 19364
emergiTEL Inc.
Toronto
CAD 80,000 - 110,000
Urgently required
2 days ago

Intermediate Machine Learning Developer

Intermediate Machine Learning Developer
Weir
Vancouver
CAD 80,000 - 100,000
Urgently required
3 days ago

AI & Data - Senior Consultant Data Scientist

AI & Data - Senior Consultant Data Scientist
Ernst & Young Advisory Services Sdn Bhd
Calgary
CAD 85,000 - 120,000
Urgently required
3 days ago

Intermediate/Senior MLOps/Data Engineer

Intermediate/Senior MLOps/Data Engineer
TerraSense Analytics
Kelowna
CAD 119,000 - 141,000
Urgently required
7 days ago

Data Scientist

Data Scientist
Canada Goose
Toronto
CAD 70,000 - 90,000
Urgently required
3 days ago

Machine Learning Engineer II, Tim Hortons

Machine Learning Engineer II, Tim Hortons
3700 Firehouse Subs
Toronto
CAD 90,000 - 130,000

Senior Machine Learning Engineer

Senior Machine Learning Engineer
Technexus Inc.
Toronto
CAD 100,000 - 160,000

Staff Machine Learning Engineer - ML Frameworks

Staff Machine Learning Engineer - ML Frameworks
Torc Robotics
Montreal
CAD 195,000 - 235,000

Machine Learning Engineer

Machine Learning Engineer
PCRecruiter - Recruitment Software & Applicant Tracking System
Mississauga
CAD 90,000 - 130,000

Machine Learning Engineer

Machine Learning Engineer
Demand For HR
Ontario
USD 100,000 - 140,000

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Data Analyst

Be among the first applicants.
Verisk
Markham
CAD 70,000 - 85,000
Be among the first applicants.
2 days ago
Job description
Job Description

The Data Analyst will be a key contributor to Opta’s big data and AI expertise. The incumbent will be responsible for building, analyzing, and reporting on large and sample data assets. Using their strong statistical techniques, they will apply the right analysis strategy to deliver insight, relationships and repeatable queries or processes. Working closely with Product, Sales, R&D, IT and Professional Services, the individual will be responsible for analyzing complex data sets and the fulfillment of customer requests with an eye to business value and quality. The individual will work closely with Business Analysts to articulate production system requirements for Opta’s data assets, and with IT, Operations, Professional Services, and R&D to deliver and optimize analytical products and solutions. In addition, the individual will be responsible for augmenting Opta’s data assets with additional open data sources that support Opta’s data driven strategies and financial objectives.

Responsibilities

Accuracy and attention to detail is critically important. The incumbent will utilize multiple technical tools on a daily basis, including SQL, Glue, Athena, Excel, Snowflake and other similar related data management tools, as well as tools to build on data-mining and predictive analytics logic. The incumbent must have the ability to assemble, extract, and illustrate meaningful insights from disparate Data Lake sources to drive actionable results.

About The Day To Day Responsibilities Of The Role

  • Prepare, coordinate and analyze customer data set and deliverables.
  • Participate in the production and operations of analytics and reporting products and solutions, with responsibility for specific deliverables.
  • Provide direct support to Sales partners in the development and conversion of pipeline opportunities
  • Review existing data and current techniques to ensure integrity, and identify new data management and translation methods resulting in data integration improvements
  • Maintain and improve data integrity and accuracy of assets, identifying ways to eliminate recurring data issues
  • Articulate data requirements for production systems
  • Load, validate, compile and analyze available data assets
  • Produce reports based on business objectives and strategic requirements
  • Assess market needs related to data and develop strategic options for data acquisition and product development
  • Aid in the setup, process improvement and maturing of an analytics practice with in the organization
  • Provide summary reporting to management on his/her ongoing work, analysis and projects

Qualifications

About You and How You Can Excel in this Role

  • 3-5 years experience working in an entrepreneurial, fast-paced environment with cross functional teams
  • Strong analytical and problem solving skills with the capability to look for solutions outside existing boundaries.
  • Ability to navigate, construct and transform big data, data lakes and databases to create actionable insights.
  • Adept at statistical analysis, trending and very detail oriented.
  • Highly proficient in some of the following: Excel, SQL, Snowflake, Databricks, AWS with a strong understanding of computer systems.
  • Experience with Robotic Process Automation (RPA) tools would be an asset
  • Strong interpersonal skills and customer focus
  • Written and oral fluency in English.
  • Familiarity with data mining techniques, ETL practices and solutions within a Data Warehouse environment.
  • Confident in creating and comprehending advanced spreadsheets, databases, data structures, etc.
  • Experience effectively identifying (non-technical) user requirements, develop and execute a plan to deliver those requirements.
  • Mortgage, banking or insurance industry knowledge would be an asset.

About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Marketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

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* 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.

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