Data Scientist I – GenAI & Machine Learning

Bring your passion for data, machine learning, and GenAI to the insurance sector for our client. Support the development of practical, cutting-edge solutions while contributing to advanced analytics initiatives across Canadian business units.

What is in it for you

- Salaried: $45-50 per hour.

- Incorporated Business Rate: $55-60 per hour.

- 12-month contract providing coverage for maternity leave.

- Hybrid work arrangement with 3 days on-site, including Thursdays.

Responsibilities

Data Science and Machine Learning

- Support the translation of business goals into analytical problems and the identification of suitable algorithms, statistical techniques, and/or GenAI architecture.

- Support cross-functional teams in developing ML/data science products, including GenAI applications.

- Support the application of data science techniques, including descriptive, predictive, and machine learning methods, from design to implementation.

- Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs.

GenAI & Agentic AI Development

- Support the design, development, and deployment of GenAI solutions, including AI agents, chatbots, and autonomous systems.

- Support research and pilots involving GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks such as LangChain, LangGraph, and CrewAI.

- Support the implementation of AI bots/agents with reasoning capabilities and tool-use patterns.

- Work with vector databases and embedding models to build intelligent information retrieval systems.

Technical Execution & Collaboration

- Support senior team members in completing data science development activities and work plans.

- Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations.

- Work within a narrower project scope, typically one project at a time.

- Work with limited to no direct stakeholder interaction.





- Contribute to continuous improvement and innovation within the analytics community.

What you will need to succeed

Required qualifications

- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.

- Open to recent graduates and candidates with 0-3 years of relevant experience.

- Proficiency in Python for data science and GenAI application development.

- Experience writing complex SQL and PySpark queries to extract and integrate data from multiple database sources.

- Proficiency in machine learning, including supervised and unsupervised models.

- Demonstrated experience in data transformation, data manipulation, and working with structured and unstructured data.

- Strong understanding of APIs, microservices architecture, and cloud-native development.

- Experience with GenAI frameworks and LLM APIs, including developing AI bots and agents with reasoning and tool-use capabilities.

- Understanding of Retrieval-Augmented Generation techniques, prompt engineering, and fine-tuning methodologies, with familiarity with vector databases and embedding models.

- Experience with chatbot development concepts and conversational AI design.

- Reliability Clearance required.

Preferred qualifications

- Experience with AWS services, including SageMaker, Lambda, Bedrock, and other AI and machine learning services.

- Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.

- Exceptional communication skills.

- Effective and concise oral and written storytelling and insights communication skills.

- Strong problem-solving and analytical skills.

- Keen attention to detail.

- Fierce curiosity for discovering and leveraging new data.

- A willingness to ask questions.

- A willingness to recognize that innovation attempts can lead to failure.

- A passion for solving problems.

- A focus on efficient execution and delivery.

- A thirst for continuously updating data science knowledge.

📌 Data Scientist I – GenAI & Machine Learning (Toronto)
🏢 Recruit Action
📍 Toronto