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Project X

Data Scientist (Machine Learning and AI)

Toronto, ON, Canada

Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $96,000-125,000 CAD · Full-time

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Job details

Pay: Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $96,000-125,000 CAD
Job type: Full-time
Apply by: Nov 17, 2026
Experience: 3-5 years of hands-on experience as a Data Scientist
Posting language: English
Posted: Aug 19, 2026

Original job description

Company: Project X Ltd. Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $96,000-125,000 CAD

About Project X Ltd.

Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of their work, step up when needed, and get things done.

Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients. We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates - because at Project X, our people are what make us great.

Role Summary

As a Consultant, Data Science at Project X Ltd., you will be providing our clients with your knowledge and experience of making sense of messy, unstructured data. Using your computer science, statistics and mathematics expertise, you will analyze, process and model data, then interpret the results to create actionable data driven solutions for our clients.

Key Responsibilities

Participate in the requirements gathering, analysis, project plans, and solutions design.

Work with internal and external stakeholders to identify opportunities for leveraging company data to drive business solutions.

Feature engineering, selection and optimization models with ML techniques.

Improve data collection procedures and pipelines. Perform data profiling and exploration to ensure the integrity of data.

Productionalize data models with feedback loop to automate the refinement process for deployed models over time.

Participate in the development of project plans to establish appropriate workload expectations and schedules.

Maintain up-to-date knowledge of, and adopt relevant market trends and practices.

What We’re Looking For – Required Qualifications

3-5 years of hands-on experience as a Data Scientist

Proficiency in Python and SQL, with experience in data wrangling, statistical analysis, and model development

Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch

Familiarity with LLMs, prompt engineering, and AI application development using APIs (e.g. OpenAI, Anthropic, or similar)

Experience building and deploying data pipelines and ML workflows in cloud environments; Snowflake experience is a strong asset

Exposure to Snowflake Cortex AI features (e.g. Cortex LLM functions, Cortex Search, or Cortex Analyst) is considered a plus

Strong understanding of vector databases, embeddings, and retrieval-augmented generation (RAG) patterns

Ability to translate complex model outputs into clear business insights for non-technical stakeholders

Comfort working in agentic and multi-agent system design is considered an advantage

Nice to Have

Experience with testing automation is an asset.

Use of Artificial Intelligence in Recruitment

Project X may use automated or AI-enabled tools as part of the recruitment and selection process. These tools may support activities such as resume screening, candidate matching, or application management. All hiring decisions involve human review and judgment.

Employment Equity, Accessibility & Accommodations

Project X is committed to fostering an inclusive, accessible workplace. Accommodations are available upon request in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code.

Privacy Notice

Personal information collected during the recruitment process will be used solely for recruitment purposes and handled in accordance with applicable privacy legislation.

How to Apply

Please apply with your resume.

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More about this job

Responsibilities

You will analyze, process, and model complex, unstructured data to create actionable business solutions for clients. Additionally, you will participate in solution design, feature engineering, and the productionalization of machine learning models.

Requirements

Candidates must have 3-5 years of hands-on experience as a Data Scientist with proficiency in Python, SQL, and machine learning frameworks. Strong knowledge of cloud environments, LLMs, and data pipeline development is required.

Skills

Python
SQL
Machine Learning
Data Wrangling
Statistical Analysis
Scikit-learn
TensorFlow
PyTorch
LLMs
Prompt Engineering
Snowflake
Vector Databases
Embeddings
Retrieval-Augmented Generation
Data Pipelines
Cloud Computing

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Machine Learning
AI
Python
SQL
Scikit-learn
TensorFlow
PyTorch
LLMs
Prompt Engineering
Snowflake
Snowflake Cortex
Vector Databases
Embeddings
RAG
Data Pipelines
Cloud
Agentic Systems
Data Profiling
Feature Engineering
Statistical Analysis
Consulting
Data Modeling
Automation
Testing Automation

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