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Added 3 mins ago
BL
Team Lead, Office Services
BC Legal Management Association
Vancouver, BC · Greater Vancouver Metropolitan Area
- Other
Train, coach, mentor, onboard, and cross-train team members on processes, equipment, systems, service standards, and best practices.
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LS
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- Part-time
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- Full-time
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- Full-time
…environment. You operate as the senior engineer on a delivery pod, mentor Associates, own technical workstreams end-to-end, and translate client ambiguity into shipped, production-ready…
Added 1 hour ago
MP
Senior Mining Consultant - Underground
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Vancouver, BC
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Mentor and develop mining professionals to support their technical and career development
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Strong leadership skills with the ability to motivate and develop/mentor a team
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Applications Engineer
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Bolton, ON
- Full-time
Strong technical leadership capabilities, including the ability to inspire, coach, mentor, and develop high-performing teams.
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New Analyst Program
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- $65,000 to $85,000 CAD / year
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Lead, mentor, and develop a high-performing team of tax professionals, fostering a culture of excellence, collaboration, and continuous learning
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Senior Financial Services Specialist - CIRO-MFD/AMF
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Vancouver, BC · Greater Vancouver Metropolitan Area
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Mech and Robotics Tech
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…to developing your skills, you will have the opportunity to mentor junior technicians to grow in their…
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Added 3 hours ago
EC
Future Leaders Program – Management Trainee
Emco Corporation: Plumbing, HVAC, Waterworks, Industrial, Irrigation, Fire Protection
Charlottetown, PE
- $52,500 CAD / year
- Full-time
Added 3 hours ago
EC
Future Leaders Program – Management Trainee
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St. John's, NL · Greater St. John's Metropolitan Area
- $52,500 CAD / year
- Full-time

Hays

Data Scientist

ON, Canada
Ontario, Canada, Canada

$60 to $62 CAD / hour · Contract

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Job details

Pay: $60 to $62 CAD / hour
Job type: Contract
Apply by: Nov 8, 2026
Experience: 0-3+ years’ experience in developing and implementing data science techniques
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Details:

Job Title: Data Scientist

Location: Toronto, ON (Hybrid 3 days onsite)

Duration: 12 Months contract with possibility of extension

Pay Rate: $60-62/Hour CAD on INC

Job Description:

Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

Key Responsibilities:

Data Science and Machine Learning

Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques and/or GenAI architecture suitable for the business problem at hand
Work in cross-functional teams to develop ML/data science products, including GenAI applications
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs

GenAI & Agentic AI Development

Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems
Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.)
Implement AI bots/agents with advanced reasoning capabilities and tool use patterns
Work with vector databases and embedding models to build intelligent information retrieval systems

Technical Leadership & Collaboration

Break down broader data science development milestones into actionable goals, activities, and work plans
Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations
Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders
Champion continuous improvement and foster innovation within the analytics communications.

Required Qualifications:

Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
0-3+ years’ experience in developing and implementing data science techniques
Proficient in Python for data science and GenAI application development
Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources
Proficiency in machine learning including supervised and unsupervised models
Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data
Strong understanding of APIs, microservices architecture, and cloud-native development
Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities
Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologies and familiarity with vector databases and embedding models
Experience with chatbot development concepts and conversational AI design
Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
Effective and concise oral and written storytelling and insights communication skills
Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
Proven ability to mentor and guide junior data scientists and data engineers
Strong problem-solving abilities and analytical skills with keen attention to detail

Nice to Have:

Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.

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More about this job

Responsibilities

Translate business goals into analytical problems and develop, evaluate, and implement data science and machine learning solutions, including generative AI applications. Design and deploy AI agents and retrieval systems, collaborate with stakeholders, create technical design artifacts, and communicate recommendations and findings.

Requirements

Requires a bachelor's degree in computer science, statistics, mathematics, or a related field, or equivalent experience, along with experience developing data science techniques. Candidates should have Python, SQL, PySpark, machine learning, and hands-on generative AI and LLM application experience, as well as strong communication, problem-solving, and project management skills.

Skills

Python
SQL
PySpark
Machine Learning
Supervised Learning
Unsupervised Learning
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
AI Agents
LangChain
LangGraph
CrewAI
Vector Databases
AWS

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Generative AI
Artificial Intelligence Agents
Chatbots
Autonomous Systems
Python
SQL
PySpark
Supervised Learning
Unsupervised Learning
Feature Engineering
Model Training
Model Evaluation
Prompt Engineering
Large Language Models
Retrieval-Augmented Generation
LangChain
LangGraph
CrewAI
Vector Databases
Embedding Models
APIs
Microservices
Cloud-Native Development
AWS SageMaker
AWS Lambda
AWS Bedrock
AWS Glue
Data Warehousing

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