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Added 24 days ago
H
Data Scientist
Hays
ON · Ontario, Canada
- $60 to $62 CAD / hour
- Contract
Duration: 12 Months contract with possibility of extension
Added 24 days ago
T
Data Scientist – Financial Crime Risk Management (FCRM)
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 24 days ago
NC
Quantitative Developer
Nymbus Capital
Montreal, QC
- Full-time
As our Quantitative Developer, Investment Platforms, you will own the systems that run our investment process end to end: the data platform that feeds every model and report, the research…
Added 24 days ago
TI
Data Scientist
TekStaff IT Solutions
Toronto, ON
- Contract
…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…
Added 24 days ago
NC
Quantitative Developer
Nymbus Capital
Montreal, QC
- Full-time
As our Quantitative Developer, Investment Platforms, you will own the systems that run our investment process end to end: the data platform that feeds every model and report, the research…
Added 24 days ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
…clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company…
Added 24 days ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…
Added 24 days ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on data discovery skills, including profiling unfamiliar client data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes,…
Added 24 days ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on data discovery skills, including profiling unfamiliar data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes, distributions,…
Added 24 days ago
TI
Data Scientist
TekStaff IT Solutions
ON · Ontario, Canada
- Contract
…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…
Added 24 days ago
GF
Data Analyst
Greenstone Financial Services Canada
Toronto, ON · North York, ON
- $70,000 to $80,000 CAD / year
- Full-time
…actionable insights. The successful candidate will work closely with business stakeholders to monitor performance, investigate trends, and identify opportunities to improve sales…
Added 24 days ago
MS
Consultant Conversion - Lead Cybersecurity Ops: Job Level - Vice President
Morgan Stanley
Montreal, QC
- Full-time
-Development experience with Java and/or modern programming languages such as Python, JavaScript, Go, or C#, including scripting and automation capabilities.
Added 24 days ago
T
Data Scientist III
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 24 days ago
PI
MLOps Engineer
Planitar Inc.
Waterloo, ON
- $120,000 to $150,000 CAD / year
- Full-time
Strong Python; able to work with C++ codebases.
Added 24 days ago
P
MLOps Engineer
Planitar
Waterloo, ON
- Full-time
Strong Python; able to work with C++ codebases.
Added 24 days ago
TT
Oracle AI Architect
Tech Talent International
Brampton, ON
- Contract
Lead the architecture, design, and solutioning of enterprise-scale AI applications with a focus on Generative AI and Agentic AI frameworks.
Added 24 days ago
A
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
We are seeking a Principal Engineer with at least 14 years of experience to serve as a technical visionary and thought leader for Acceldata's Open Data Platform (ODP). In this role, you…
Added 24 days ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
…Financial Services, and Public Sector. You'll work directly with C-level stakeholders to translate business requirements into scalable, governed data architectures on Azure, Databricks, and…
Added 24 days ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
…Synapse, and Microsoft Fabric. This is a hands-on technical role with client-facing…
Added 24 days ago
N
Member of Technical Staff 2 - AI
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Experience building applications with Go and Python
Added 24 days ago
TU
Junior NLP Data Scientist
The University of British Columbia
Vancouver, BC
- $5,692.25 to $8,179.5 CAD / month
- Part-time
Strong programming skills (Python preferred), with experience in ML and data science frameworks (e.g., PyTorch, TensorFlow, Pandas).
Added 24 days ago
UO
Junior NLP Data Scientist
University of British Columbia
Vancouver, BC · UBCV | UBC Hospital - Detwiller Pavilion (DPAV)
- $5,692.25 to $8,179.5 CAD / month
- Part-time
- Strong programming skills (Python preferred), with experience in ML and data science frameworks (e.g., PyTorch, TensorFlow, Pandas).
Added 24 days ago
B
Intern, Supply Chain (Data Insights and Profitability), (Winter 2027)
Bombardier
Dorval, QC
- Volunteer
Strong programming skills in languages such as SQL, Python, R, or similar, with a focus on developing scalable and efficient AI solutions.
Added 24 days ago
GM
Senior Data Engineering, Vehicle Data Operations
General Motors
Markham, ON · Oshawa, ON
- Full-time
This role partners with vehicle data engineering, software application teams, program management, systems engineering, and quality engineering to turn operational needs into reliable…
Added 25 days ago
DI
Data Engineering Lead
Definity Insurance Company
Toronto, ON
- Full-time
…automation, and modern data engineering standards. They collaborate with engineering managers, architects, and business stakeholders to translate business needs into resource,…

TekStaff IT Solutions

Data Scientist

Toronto, ON, Canada

Contract

Apply About employer

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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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