Data Scientist I – GenAI & Machine Learning

Job summary

Support the development and deployment of machine learning and generative AI solutions, including AI agents, chatbots, retrieval systems, and predictive models. Contribute to feature engineering, model training and evaluation, technical design documentation, and collaborative analytics projects.

Job details

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, innovative 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. • Full-time position: 37.50 hours per week. • 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. Soft skills • 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. • An inquisitive mind. • 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. Why Recruit Action? Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.

What you’ll do

Support the development and deployment of machine learning and generative AI solutions, including AI agents, chatbots, retrieval systems, and predictive models. Contribute to feature engineering, model training and evaluation, technical design documentation, and collaborative analytics projects.

Requirements

A bachelor's degree in computer science, statistics, mathematics, or a related field, or equivalent experience, is required; the role is open to recent graduates and candidates with 0–3 years of relevant experience. Candidates need Python, complex SQL and PySpark, machine learning, data transformation, API and microservices knowledge, and experience with GenAI, LLMs, RAG, chatbots, and AI agents; Reliability Clearance is required.

Listed skills

• SQL · Preferred
• Machine learning · Preferred
• Amazon Web Services · Preferred
• prompt engineering · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• PySpark
• Machine Learning
• Generative AI
• Large Language Models
• Prompt Engineering
• Retrieval-Augmented Generation
• AI Agents
• LangChain
• LangGraph
• CrewAI
• Vector Databases
• Embedding Models
• AWS
• Data Transformation
• AWS SageMaker
• Machine Learning Methods
• Intellectual Curiosity
• Agentic AI
• Langgraph
• Vector Database
• Cloud-Native Development
• Fine-tuning (Deep Learning)
• Generative Artificial Intelligence
• Conversational AI
• Project Scoping
• Client Support
• Curiosity
• Advanced Analytics
• Retrieval Augmented Generation
• AWS Glue
• Technical Design
• Analytical Skills
• Research
• Application Programming Interface (API)
• Artificial Intelligence
• Algorithms
• Amazon Web Services
• Application Development
• Autonomous System
• Big Data
• Communication
• Computer Science
• Continuous Improvement Process
• Extract Transform Load (ETL)
• Data Manipulation
• Data Modeling
• Data Quality
• Data Warehousing

Job areas

• Data & Analytics
• Technology
• Software
• Science & Research
• Machine Learning Data Scientist
• Machine Learning Engineer
• Software Developers
• Computer and Information Research Scientists

More jobs from Recruit Action inc.