Data Scientist I - Toronto

Randstad Canada; Toronto; Hybrid; CAD 90,000 - 150,000; Full time

Benefits offered by this job

Hybrid work environment

Mentorship of junior data scientists

1-year contract

Job summary

Randstad Canada seeks an experienced Data Scientist I (Senior Data Science & GenAI / Agentic AI Specialist) to join its centralized Advanced Analytics team in a hybrid 12-month engagement. You will partner with Canadian business units to advance analytics, ML, and GenAI solutions, translating goals into predictive models and intelligent retrieval systems.

The role emphasizes design of GenAI agents, RAG architectures, and scalable data pipelines using PySpark/SQL, with leadership responsibilities

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• 5+ years developing and deploying ML models in an enterprise setting.
• Proficiency in Python for data science and LLM app development; strong SQL/PySpark.
• Hands-on GenAI experience using LangChain, LangGraph, or CrewAI with tool-calling.
• Deep understanding of RAG techniques, vector databases, embeddings, and fine-tuning.
• Experience shaping data architectures and governance; strong communication.
• Mentorship and ability to present to senior leaders.

Responsibilities

• Translate business problems into analytical models and deploy ML solutions.
• Design production-grade GenAI solutions, AI bots, and autonomous agents.
• Build RAG architectures, vector search, and prompt engineering pipelines.
• Write PySpark and SQL queries to integrate large datasets across sources.
• Create design docs for architecture, data models, and APIs.
• Present findings and mentor junior data scientists to drive value.

Skills

Python

PySpark

SQL

GenAI

LangChain

LangGraph

CrewAI

RAG

Vector databases

Education

Bachelor's degree in Computer Science / Statistics / Mathematics / Data Science

Tools

SageMaker

AWS Bedrock

Lambda

LangChain

LangGraph

CrewAI

Job description

Our client, is seeking an experienced, highly innovative Data Scientist I (Senior Data Science & GenAI / Agentic AI Specialist) to join their centralized Advanced Analytics team.

In this strategic, hands-on role, you will partner directly with Canadian business units to accelerate the adoption and execution of advanced analytics, machine learning, and Generative AI solutions. You will translate complex business goals into rigorous analytical frameworks, building predictive models alongside cutting-edge GenAI applications, AI agents, and autonomous systems. Working in a hybrid environment, you will leverage Python, PySpark, SQL, vector databases, and modern agentic frameworks (LangChain, LangGraph, CrewAI) to design Retrieval-Augmented Generation (RAG) architectures, prompt engineering pipelines, and intelligent information retrieval systems that drive measurable commercial value.

Duration: 12-Month Contract (Full 1-Year Engagement)

Work Arrangement: Hybrid (3 days on-site per week; Thursday set as the mandatory team collaboration anchor day)

Advantages

• High-Impact AI Innovation Scope: Lead the design and deployment of next-generation GenAI solutions, autonomous AI agents, and custom RAG architectures.
• 12-Month Engagement Stability: Secure a full 1-year enterprise consulting assignment driving strategic, high-visibility analytics initiatives across Canadian business units.
• Modern Agentic Tech Stack: Work extensively with state-of-the-art AI frameworks (LangChain, LangGraph, CrewAI), vector databases, embedding models, and reasoning tools.
• Collaborative Leadership Culture: Mentor junior data scientists and engineers while presenting data-driven insights and commercial recommendations to cross-functional business executives.

Responsibilities

• Data Science & ML Engineering: Translate complex business problems into analytical models; design, train, evaluate, and deploy supervised, unsupervised, and predictive machine learning models.
• GenAI & Agentic AI Development: Design and deploy production-grade GenAI solutions, AI bots, and autonomous agents featuring advanced reasoning, tool-use patterns, and multi-agent coordination.
• RAG & Vector Search Architecture: Implement RAG (Retrieval-Augmented Generation) systems, vector database indexing, embedding models, and prompt engineering strategies to enable intelligent enterprise search.
• Big Data & Pipeline Integration: Write complex PySpark and SQL queries to extract, transform, and integrate large-scale structured and unstructured datasets across enterprise data sources.
• Technical Artifacts & Governance: Author and maintain technical design documentation covering application architecture, data models, microservice APIs, and integration patterns.
• Stakeholder Storytelling & Mentorship: Present analytical findings and strategic recommendations to senior business leaders through concise data storytelling, while mentoring junior data scientists.

Qualifications

• Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative discipline (or equivalent practical experience).
• Applied Data Science Depth: 5+ years of dedicated professional experience developing and deploying machine learning models and statistical solutions in an enterprise setting.
• Core Technical Proficiency: Expert-level mastery of Python for data science and LLM application development, alongside strong SQL and PySpark data extraction skills.
• GenAI & Agentic Frameworks: Demonstrated hands‑on experience building GenAI applications using frameworks such as LangChain, LangGraph, or CrewAI, with proven knowledge of tool‑calling and reasoning agent patterns.
• RAG & LLM Engineering: Deep understanding of RAG techniques, prompt engineering, vector databases, embedding models, and fine‑tuning methodologies.
• Structured & Unstructured Data: Solid background in feature engineering, data transformation, and managing both structured databases and unstructured content streams.
• Communication & Mentorship: Exceptional written and verbal communication skills with a proven track record of translating complex AI concepts into executive business narratives and coaching team members.

Preferred Assets & Nice-to-Haves

• Hands‑on experience with AWS AI/ML services (SageMaker, AWS Bedrock, Lambda).
• Familiarity with enterprise data warehousing and big data pipeline tools (AWS Glue ETL, Glue Catalog, AWS Step Functions).

Summary

If you are a tech-savvy Data Scientist who pairs 5+ years of core machine learning mastery with hands‑on GenAI, agentic AI frameworks (LangChain/LangGraph), PySpark, and RAG architecture skills, this 12-month hybrid contract opportunity is an ideal next step. Bring your analytical curiosity, agentic AI expertise, and technical leadership to our client's team today!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [e-mail] to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.