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Added 1 day ago
TH
AI System and Automation Developer
TopHat HR
Toronto, ON · Greater Toronto Area, Canada
- $85,000 to $95,000 CAD / year
- Full-time
TopHat HR is hiring on behalf of one of our clients, a diversified business group with operations across multiple businesses and industries. They are looking for a hands-on AI Systems &…
Added 1 day ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Strong hands-on expertise in Apache Spark, PySpark, Kafka, Flink, Airflow, NiFi, Trino, SQL, Python, Scala, and Java.
Added 1 day 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 1 day 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 1 day ago
LA
Software Developer (Automation & Integration)
Litens Automotive Group
Concord, ON
- Full-time
Strong Python, JavaScript, PowerShell, and SQL programming and scripting skills, with experience creating maintainable, production-ready solutions.
Added 1 day 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 1 day ago
ZS
Forward Deployed Engineer
Zodiac Solutions, Inc
Toronto, ON
- 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 1 day ago
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Data Analyst
Greenstone Financial Services Canada
Toronto, ON · North York, ON
- $70,000 to $80,000 CAD / year
- Full-time
Use SQL and Python to extract, transform, validate, and analyze data.
Added 1 day ago
EM
Consultant - PySpark / Databricks Developer (Intermediate - Senior)
Electric Mind
Toronto, ON
- Full-time
This is a good fit for someone with solid Python fundamentals and some Spark/SQL exposure who wants to grow into a data engineering specialist. You won't be expected to know Databricks…
Added 1 day ago
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Marketing Data Analytics Engineer (CA)
PointClickCare
Mississauga, ON
- Full-time
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held,…
Added 1 day ago
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Equity Research Intern/Co-op
TD
Toronto, ON
- Full-time
Experience with Python, SQL, VBA and Bloomberg is a plus (requirement of these skills vary by desks)
Added 1 day ago
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Manager, Wealth Reporting Analytics & Automation
BMO
Toronto, ON
- Full-time
…Develops analytical and reporting solutions in close consultation with business stakeholders and functional partners, that are related to Wealth Analytics, reporting insights, automation as…
Added 1 day ago
MP
Senior Data Analyst
Michael Page
Winnipeg, MB
- $85,000 to $95,000 CAD / year
- Full-time
Proficiency in tools such as SQL, Python, R, or similar technologies.
Added 1 day ago
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Game Economy Design Intern
Ludia
Montreal, QC
- Full-time
Connaissance de SQL, Python ou d'outils de visualisation de données est un atout.
Added 1 day ago
SL
Data Engineer Databricks
Staffingine LLC
Toronto, ON
- Contract
We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python. The ideal candidate should have experience…
Added 1 day ago
BI
DevOps & Cloud Systems - Fullstack Developer
BrightOrder Inc.
Remote, Canada
- Full-time
- Remote
We’re looking for a Full Stack Developer with strong DevOps and AWS experience to help build, automate, and scale BrightOrder’s cloud-based platform.
Added 1 day ago
Business Process & Strat. Associate Dir.
NTT DATA Services
Toronto, ON
Strong experience with SQL Server, Power BI, SSRS, ETL/data integration, and APIs
Added 1 day ago
TT
Oracle AI Architect
Tech Talent International
Brampton, ON
- Contract
Develop production-ready solutions using Python and SQL to support AI workflows and API integrations.
Added 1 day ago
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QA Automation Engineer - ETL/Database
INFOYA
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
Excellent SQL skills with expertise in complex
Added 1 day ago
TC
Data & Analytics Solutions Architect - Hadoop
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 1 day ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Develop predictive and descriptive analytical models using SAS, Python and SQL in cloud environments.
Added 1 day ago
K
Senior Software Engineer – DevTest / QA Automation
Kaseya
Toronto, ON
- Full-time
The successful candidate will be able to take an existing codebase and, with limited direction, deliver hundreds of meaningful automated test cases within weeks, while maintaining quality,…
Added 1 day ago
EC
GIS Developer
Esri Canada
Toronto, ON
- Full-time
Strong foundation in geospatial data and application performance, including experience with Esri geodatabases and geoprocessing tools, SQL Server and relational database concepts, and web…
Added 1 day ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
SQL (advanced), Python or Scala (intermediate)
Added 1 day ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
SQL (advanced), Python (intermediate), Scala (nice to have)

TekStaff IT Solutions

Data Scientist

ON, Canada
Ontario, Canada, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Experience: · 2 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”

This is a 12 month contract located in Toronto, ONT Hybrid (3 days on-site with Thursday being the team collaboration day)

If you are interested in this posting please call me or send me your updated resume formatted in word.

If you require any type of accommodations (for example, accessible interview site, alternate formats of materials, Assistive Technology, ASL Interpreter, etc.) during the recruitment and selection process, please let one of our Recruiters know.

Please note - This is a 7.5 hour work day.

*All successful candidates will be subject to a mandatory background check as per the client.

*Please note that all contractors are subject to a possible Holiday Leave program schedule, set by the client.

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

· 2 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 data science and machine learning solutions, including generative AI applications. Design AI agents and retrieval systems, create technical design artifacts, collaborate with stakeholders, and provide technical leadership and mentorship.

Requirements

Requires a bachelor's degree in computer science, statistics, mathematics, or a related field, or equivalent experience, and at least two years of experience developing and implementing data science techniques. Candidates need strong Python, SQL, PySpark, machine learning, generative AI, RAG, API, and cloud-native development skills, along with communication, problem-solving, and mentoring abilities.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

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

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