Data Scientist (Machine Learning and AI)

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

Job summary

Project X Ltd. in Toronto, Ontario is seeking a Consultant, Data Science to help clients make sense of messy data by applying computer science, statistics, and math to build actionable models.

You will design and deploy data pipelines, perform feature engineering, and translate model outputs into clear business insights for non-technical stakeholders, with a hybrid work arrangement. We value curiosity, accountability, and collaboration, and offer a full-time role with opportunities to work with

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 (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 (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.
• Experience with testing automation is an asset.

Responsibilities

• Participate in requirements gathering, analysis, project plans, and solutions design.
• Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.
• Perform feature engineering, selection and optimization of ML models.
• Improve data collection procedures, pipelines, and data profiling to ensure data integrity.
• Productionalize data models with feedback loops for continual refinement.
• Assist in developing project plans to set workload expectations and schedules.
• Stay up-to-date with market trends and best practices in data science.
• Collaborate with teams to translate model results into business impact.

Skills

Data science

Statistical analysis

Model development

Data wrangling

Communication of insights

Tools

Python

SQL

scikit-learn

TensorFlow

PyTorch

OpenAI API

Anthropic API

Snowflake

Cortex AI

LLM embeddings

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,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 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.