Contract
Job title: Data Scientist
Duration: 12 months
Role status: Current opening
Reporting to the Director, Data Science as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

Principal tasks and responsibilities include:
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

Our client:

An established financial services organization within the insurance sector.

Qualifications and pre-requisites:

Bachelor's degree in computer science,



Statistics, Mathematics, or related field, or equivalent experience

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

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.

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📌 Data Scientist (Ontario)
🏢 isgSearch
📍 Ontario