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Added 12 mins ago
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- $105,000 to $115,000 CAD / year
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Added 28 mins ago
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commercial and industrial clients. With a team of 250+ employees, our commitment to
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Added 42 mins ago
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CI Advisor I
BrokerLink
Ottawa, ON · Markham, ON · Aurora, ON · Ajax, ON · Newmarket, ON
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We are looking for a Commercial Insurance Advisor to join our team in Ottawa, ON on a Permanent Full Time Basis!
Added 42 mins ago
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Added 42 mins ago
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Regional Marketing Manager - Quebec Zone
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TekStaff IT Solutions

Data Scientist

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Experience: · 5+ years’ experience in developing and implementing data science techniques
Posting language: English
Posted: Oct 9, 2026

Original job description

TekStaff's Client has a current vacancy for "Data Scientist"

Job Description

Role Summary

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 attributes:

Fierce curiosity. A successful candidate is drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. The 3 core technical skills would be: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data and unstructured data. Thirst for learning. A successful candidate is a data scientist who is constantly updating their knowledge of data science state-of-the-art.

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 communi

Required Qualifications:

· Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience

· 5+ 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.

TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.

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More about this job

Responsibilities

Translate business goals into analytical problems and develop, evaluate, and deploy machine learning and generative AI solutions, including agents, chatbots, and retrieval systems. Lead technical planning and design, collaborate with stakeholders, communicate findings, and mentor junior data science and engineering staff.

Requirements

Requires a bachelor’s degree in computer science, statistics, mathematics, or a related field, or equivalent experience, and at least five years of data science implementation experience. Candidates should be proficient in Python, SQL, PySpark, machine learning, GenAI and LLM development, RAG, prompt engineering, data transformation, APIs, and cloud-native development, with strong communication and mentoring skills.

Skills

Python
SQL
PySpark
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
AI Agent Development
Feature Engineering
Model Training and Evaluation
Vector Databases
Embedding Models
API and Microservices Architecture
Cloud-Native Development
Stakeholder Communication

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
PySpark
Machine Learning
Supervised Learning
Unsupervised Learning
Generative AI
Large Language Models
LLM APIs
Retrieval-Augmented Generation
Prompt Engineering
Fine-Tuning
AI Agents
Chatbots
Conversational AI
LangChain
LangGraph
CrewAI
Vector Databases
Embedding Models
Feature Engineering
Data Transformation
Structured Data
Unstructured Data
APIs
Microservices
Cloud-Native Development
AWS SageMaker
AWS Lambda
Amazon Bedrock

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