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About the Role

As a Consultant, Data Science, you will provide clients with expertise in making sense of unstructured data. You will analyze, process, and model data using computer science, statistics, and mathematics to create actionable, data-driven solutions.

Responsibilities

• Participate in 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.
• Perform feature engineering, selection, and optimization using ML techniques.
• Improve data collection procedures and pipelines.
• Perform data profiling and exploration to ensure data integrity.
• Productionalize data models with feedback loops to automate refinement.
• Participate in the development of project plans to establish workload expectations and schedules.
• Maintain up-to-date knowledge of and adopt relevant market trends and practices.

Requirements

• 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.
• 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.
• Experience with testing automation is an asset.
• Comfort working in agentic and multi-agent system design is considered an advantage.
• Exposure to Snowflake Cortex AI features (e.g. Cortex LLM functions, Cortex Search, or Cortex Analyst) is considered a plus.
• Snowflake experience is a strong asset.

Skills

• Python
• SQL
• Data wrangling
• Statistical analysis
• Model development
• Machine learning frameworks
• LLMs
• Prompt engineering
• AI application development
• APIs
• Data pipelines
• ML workflows
• Cloud environments
• Snowflake
• Snowflake Cortex AI features
• Vector databases
• Embeddings
• Retrieval-augmented generation (RAG)
• Agentic and multi-agent system design
• Testing automation

Location

• Toronto, Ontario

Work Type

• Full Time
• Hybrid working model

Experience Level

• 3-5 years

Salary/Compensations

• $96,000-125,000 CAD

About the Company

• 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.

Equal Opportunity

• 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.