Data Scientist

ISG Search Inc; Toronto; On-site; CAD 90,000 - 130,000; Part time

Job summary

ISG Search Inc. seeks an experienced Data Scientist to accelerate analytics adoption across Canadian business units.

The Senior Data Scientist will translate business goals into analytical problems, develop ML/GenAI products, and collaborate with cross-functional teams to design and implement analytics use cases. Responsibilities include feature engineering, model training/evaluation, prompt engineering for LLMs, and deploying GenAI solutions with AI agents and chatbots.

Qualifications

• 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 SQL and PySpark to extract/ integrate data from multiple sources.
• Proficiency in ML including supervised and unsupervised models.
• Experience with data transformation and working with structured/unstructured data.
• Strong understanding of APIs, microservices, and cloud-native development.
• Hands-on experience with GenAI frameworks and LLM APIs for AI bots with reasoning and tool-use.

Responsibilities

• Translate business goals into analytical problems and select suitable algorithms.
• Collaborate in cross-functional teams to develop ML/data science products, including GenAI apps.
• Apply descriptive, predictive, and ML methods from design to implementation.
• Focus on feature engineering, model training, evaluation, and prompt engineering for LLMs.
• Design, develop, and deploy GenAI solutions including AI agents and chatbots.
• Research and pilot GenAI technologies and RAG techniques; work with vector databases.

Skills

Python

GenAI

SQL

PySpark

ML

Feature engineering

LLM APIs

Education

Bachelor’s degree in CS/Math/Statistics or related

Tools

LangChain

LangGraph

CrewAI

AWS SageMaker

AWS Glue

Job description

Data Scientist (BBBH12246) Toronto, Canada

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
• Strong 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.