AI Data Science Engineer

Insight Global; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Insight Global in Toronto, Canada, seeks an AI Data Science Engineer to design, build, and productionize AI/ML models for Commercial Banking and underwriting. The role blends data science with AI engineering, transforming ambiguous business problems into production-ready solutions.

The successful candidate will develop AI agents, leverage LangChain and LangGraph, and deploy in AWS, collaborating with business and technical stakeholders to deliver end-to-end AI solutions.

Qualifications

• 2+ years of hands-on Data Science, ML, or AI Engineering experience.
• Strong Python development experience.
• Experience building ML models from scratch.
• Strong understanding of traditional ML methodologies.
• Experience with deep learning.
• Hands-on experience building and productionizing AI/ML models.
• Experience with PySpark for large-scale data processing.
• Experience with scikit-learn or comparable Python ML libraries.
• Experience building AI agents / agentic AI solutions.
• Strong experience with LangChain and/or LangGraph.
• Experience developing AI/ML solutions within AWS.
• Strong problem-solving and critical-thinking skills.
• Banking experience.

Responsibilities

• Design, build, and productionize AI and machine learning models.
• Develop AI agents and agentic workflows using modern LLM frameworks.
• Build solutions supporting commercial underwriting and prospect scouting.
• Apply traditional machine learning, deep learning, and graph-based modeling techniques.
• Develop and optimize models using Python and PySpark.
• Work with graph neural networks / graph-based ML where appropriate.
• Build agentic AI solutions using LangChain and LangGraph within AWS environments.
• Translate high-level business concepts into mathematical, analytical, and technical solutions.
• Partner with stakeholders to move AI solutions from concept to production.
• Evaluate model performance and continuously improve AI/ML solutions.

Skills

Data Science

Python

ML Engineering

PySpark

AWS

LangChain

LangGraph

ML from scratch

scikit-learn

Banking domain

Tools

PySpark

LangChain

LangGraph

scikit-learn

AWS

Job description

Job Description

e are seeking an AI Data Science Engineer to join a team focused on developing and productionizing advanced AI and machine learning solutions for Commercial Banking and underwriting.

This is a hybrid Data Scientist + AI/ML Engineer role. The ideal candidate can take an ambiguous business problem, translate it into a mathematical/data science problem, build the appropriate model, and then help bring that solution into production.

Key Responsibilities

• Design, build, and productionize AI and machine learning models.
• Develop AI agents and agentic workflows using modern LLM frameworks.
• Build solutions supporting commercial underwriting and prospect scouting.
• Apply traditional machine learning, deep learning, and graph-based modeling techniques to complex business problems.
• Develop and optimize models using Python and PySpark.
• Work with graph neural networks / graph-based machine learning where appropriate.
• Build agentic AI solutions using LangChain and LangGraph within AWS environments.
• Take high-level or abstract business concepts and translate them into mathematical, analytical, and technical solutions.
• Partner with business and technical stakeholders to move AI solutions from concept -> model development -> production.
• Evaluate model performance and continuously improve AI/ML solutions.

Skills and Requirements

• Must-Have Skills2+ years of hands-on Data Science, Machine Learning, or AI Engineering experience.
• Strong hands-on Python development experience.
• Experience building machine learning models from scratch.
• Strong understanding of traditional ML methodologies.
• Experience with deep learning.
• Hands-on experience building and productionizing AI/ML models.
• Experience with PySpark for large-scale data processing.
• Experience with scikit-learn or comparable Python ML libraries.
• Experience building AI agents / agentic AI solutions.
• Strong experience with LangChain and/or LangGraph.
• Experience developing AI/ML solutions within AWS.
• Strong problem-solving and critical-thinking skills, especially the ability to translate an abstract business problem into a structured mathematical or ML problem.
• Banking experince

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].