Sr. Data Scientist to support advanced analytics and GenAI initiatives using Python, SQL, and machine learning - 1836
Location: Downtown Toronto - Hybrid (3 days on-site with Thursday being the team collaboration day)

Must be eligible for Reliability Clearance (Must have lived in Canada for 5 consecutive years)

Join a data analytics team supporting advanced analytics and GenAI initiatives within a large insurance environment. This role focuses on execution-oriented support for data science and machine learning projects, including structured and unstructured data analysis, model development, and GenAI applications. The position supports senior team members on focused project delivery within cross-functional teams. This is a 12-month contract supporting coverage for a maternity leave.

Must Haves

5+ years’ experience in developing and implementing data science techniques

Proficient in Python for data science and GenAI application development

Experience with 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 vs. unstructured data

Solid understanding of APIs, microservices architecture, and cloud-native development

Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities

Strong understanding of RAG techniques, prompt engineering,



and fine-tuning methodologies and familiarity with vector databases and embedding models

Experience with chatbot development concepts and conversational AI design

Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders

Effective and concise oral and written storytelling and insights communication skills

Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

Proven ability to mentor and guide junior data scientists and data engineers

Strong problem-solving abilities and analytical skills with keen attention to detail

Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience

Nice to Have

Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML 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.

Responsibilities

Data Science and Machine Learning

Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques and/or GenAI architecture suitable for the business problem at hand





Work in cross-functional teams to develop ML/data science products, including GenAI applications

Apply best-in-breed 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

Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems

Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.)

Implement AI bots/agents with advanced reasoning capabilities and tool use patterns

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

Technical Leadership & Collaboration

Break down broader data science development milestones into actionable goals, activities, and work plans

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

Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders

Champion continuous improvement and foster innovation within the analytics community

Duration: 12 months to start

Disclaimer:

AI may be used in evaluating candidates.

This posting is for an existing vacancy.

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📌 Sr. Data Scientist to support advanced analytics and GenAI initiatives using Python, SQL, and machin (Ontario)
🏢 S.I. Systems
📍 Ontario