Consultant, Data Scientist (Cortex AI)

Project X Ltd.; Toronto; Hybrid; CAD 96,000 - 125,000; Full time

Job summary

Project X Ltd. is seeking a Consultant, Data Science to transform messy data into actionable insights for clients. You will build and deploy ML models, engineer features, and design data pipelines using Python, SQL, and cloud technologies.

Collaboration with stakeholders is essential to deliver high-impact data-driven solutions. The role requires 3-5 years of hands-on DS experience, familiarity with LLMs, APIs, and modern ML frameworks.

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 ML 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

Python

SQL

Data wrangling

Statistical analysis

Model development

scikit-learn

TensorFlow

PyTorch

LLMs

API integration

Cloud pipelines

Snowflake

Cortex AI features

Embeddings

RAG patterns

Data storytelling

Stakeholder communication

Tools

Snowflake

Cortex

OpenAI API

Anthropic API

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.

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 handledin accordance withapplicable privacy legislation.