Data Scientist (AI/ML)

projectx; Toronto; Hybrid; CAD 96,000 - 125,000; Full time

Job summary

Project X Ltd. in Toronto, Ontario seeks a Consultant, Data Science to turn messy data into actionable insights.

You will analyze, process, and model data using Python, SQL, and ML frameworks, then interpret results to deliver client-ready solutions. You will gather requirements, collaborate with stakeholders, build data pipelines, and productionalize models with a feedback loop, staying current with market trends and AI developments such as LLMs and Cortex.

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

Responsibilities

• Participate in the requirements gathering, analysis, project plans, and solutions design.
• Work with internal and external stakeholders toidentifyopportunities forleveragingcompany data to drive business solutions.
• Feature engineering,selectionand optimization models with ML techniques.
• Improve data collection procedures and pipelines. Perform data profiling and exploration to ensure the integrity ofdata.
• Productionalizedata models with feedback loop to automate the refinement process for deployed models over time.
• Participate in the development of project plans toestablishappropriate workloadexpectations and schedules.
• Maintain up-to-date knowledgeof, andadopt relevant market trends and practices.

Skills

Data science

Machine learning

Cloud pipelines

Prompt engineering

LLMs

Vector databases

Embeddings

Business insights

Education

Bachelor's degree in CS/Statistics

Tools

Python

SQL

scikit-learn

TensorFlow

PyTorch

OpenAI API

Snowflake

Cortex

Vector databases

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 XLtd.

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,statisticsand mathematicsexpertise, 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 toidentifyopportunities forleveragingcompany data to drive business solutions.
• Feature engineering,selectionand optimization models with ML techniques.
• Improve data collection procedures and pipelines. Perform data profiling and exploration to ensure the integrity ofdata.
• Productionalizedata models with feedback loop to automate the refinement process for deployed models over time.
• Participate in the development of project plans toestablishappropriate workloadexpectations and schedules.
• Maintain up-to-date knowledgeof, andadopt relevant market trends and practices.

WhatWe'ReLooking For - Required Qualifications

• 3-5 years of hands-on experience as a Data Scientist
• Proficiencyin 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, orPyTorch
• 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 requestin accordance withthe 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.