Data science manager Jobs in North York, ON
Manager, Data Science
Royal Bank of Canada>TORONTO, Canada- Promoted
RQ08371 Data Science Developer
Randstad CanadaNorth York, Ontario, CA- Promoted
Data Science Specialist
Celebal TechnologiesToronto, ON, Canada- Promoted
Data Science Developer
Cleo ConsultingToronto, Ontario, Canada- Promoted
Data Science Program Analyst
University Health NetworkToronto, Ontario, Canada- Promoted
DATA SCIENCE INTERN - REMOTE
New iTalent DigitalToronto, Ontario, Canada
Specialist - Data Science
CNToronto, ONTARIO, CA- Promoted
RQ08371 - Data Science Developer - Senior
Maarut IncToronto, Ontario, Canada- Promoted
Data Science
Tek Tron ITToronto, ON, Canada
Data Science Manager
LyftToronto, Canada
Senior Manager, Data Science
CorelToronto, ON, CA- Promoted
Data Science Manager
placingITpeopleToronto, ON, Canada- Promoted
Data Science Developer
Flexstaf ITToronto, Ontario, Canada- Promoted
Senior Data Science Engineer
Stefanini North America and APACToronto, ON, Canada
Data Science Lead
SanofiToronto, ON
Sr. Manager, Marketing Data Science
ThumbtackOntario
Engineering Lead Manager, Data Science
Index ExchangeToronto
Audit Manager, Data Science
BMOToronto, Ontario, Canada
Manager, Data Science – UBI
Intact Financial CorporationToronto, 700 University Avenue
Sr. Manager, Data Science
CineplexToronto, CanadaManager, Data Science
Royal Bank of Canada>TORONTO, CanadaJob Summary
Job Description
What is the opportunity?
If you combine robust technical knowledge of data science solutions (ML, AI, Gen AI), data / model development cycle and a keen desire to put such solution into production, please consider this role.
As a Manager, Data Science, you explore and operationalize data sources using scientific, statistical processes and technologies to develop solutions with a keen focus on business value. This role also supports the Associate Director and establishes relationships with technology and business groups to delivered assigned projects.
What will you do?
Inquisitive mind, with a passion for self-education and aptitude to develop working models that have business value.
Able to self-organize, provide opinions and recommend solutions.
Ability to develop predictive data models, quantitative analyses and visualization of targeted, big data sources.
Data management / data prep experience : acquisition, ingestion, normalization of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data.
Accountability for data exploration and analytic projects and execution against big data topics (visualization, data mining, analytic techniques).
Exploring and implementing semantic data capabilities through NLP, text mining and machine learning techniques.
What do you need to succeed?
Must have :
Undergraduate degree coupled with 1-3 years of experience in teams that delivered value through statistical, data science methods.
Technical proficiency in programming languages in Python, PysPark, JavaScript, SQL
Good understanding of application architecture
Experience with ML and / or deep learning Tensorflow, PyTorch, Keras, etc.
Nice-to-have :
Assist the team in bringing AI / ML solutions to production.
Develop, maintain, and enhance the backend and frontend of ML applications
Work with modern open source and vendor packages to support use cases in conversational AI & document processing.
Collaborate with enterprise technology teams to develop and reuse ML / AI solutions
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.
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Flexible work / life balance options
Opportunities to do challenging work
LI-Post
LI-Hybrid
TechPJ
Job Skills
Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis
Additional Job Details
Address :
RBC CENTRE, 155 WELLINGTON ST W : TORONTO
City : TORONTO
Country : Canada
Work hours / week : 37.5
Employment Type : Full time
Platform : WEALTH MANAGEMENT
Job Type : Regular
Pay Type : Salaried
Posted Date : 2025-01-22
Application Deadline :
2025-02-28
Note : Applications will be accepted until 11 : 59 PM on the day prior to the application deadline date above
I nclusion and Equal Opportunity Employment
At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.
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