- Identify and qualify, with stakeholders, high-potential use cases for AI, advanced analytics, and automation within Finance

- Assess technical feasibility, business value, and adoption potential to prioritize initiatives

- Design and develop proofs of concept, pilots, and MVPs within a few weeks to validate or reject hypotheses

- Develop models, algorithms, and AI agents for Finance teams

- Explore, test, and compare recent AI technologies to inform technology choices

- Analyze financial and operational data to identify trends, risks, and optimization opportunities

- Support Finance teams in experimenting with and adopting solutions and act as an AI resource

- Ensure responsible, secure, and compliant use of data and AI solutions

- Prepare validated solutions for production with relevant technology teams

Requirements

- Bachelor’s degree in statistics, mathematics, computer science, artificial intelligence, machine learning or a related field
- A minimum of six years of relevant experience related to data science

- Other combinations of qualifications and relevant experience may be considered

- Hands-on experience delivering proofs of concept or experimental projects in short cycles, from business need to demonstration of value

- Experience designing models, data products, and artificial intelligence solutions, including generative AI or AI agents

- Experience explaining complex technical concepts and influencing decisions among non-technical stakeholders





- Knowledge of French is required

- Proficiency in Python, key data processing and analysis libraries, and SQL

- Knowledge of the Finance function, including accounting, financial control, and financial planning and analysis, or work experience supporting these areas

- Knowledge of financial processes, data, and terminology

- Proficiency analyzing and structuring ambiguous or poorly defined business problems

Core Competencies

Demonstrates expertise in developing AI models and algorithms tailored for Finance, with a strong focus on data analysis, technical feasibility assessment, and stakeholder collaboration. Proficient in Python and SQL, with a solid understanding of financial processes and compliance in AI applications.

Highest-signal resume keywords

- AI Model Development

- Python Proficiency

- SQL Proficiency

- Data Analysis

- Financial Knowledge

ATS Optimization Keywords

Hard Skills

- Data Science

- Machine Learning

- Model Design

- Algorithm Development

- Proofs of Concept

- Generative AI

- Data Processing

- Statistical Analysis

- Business Problem Structuring

- Technical Feasibility Assessment

Soft Skills

- Stakeholder Communication

- Influencing Decisions

- Collaboration

Industry Keywords

- Finance

- Financial Control

- Financial Planning

- Data Compliance

- Operational Data Analysis

- AI Solutions

- Automation

- Advanced Analytics

- Trends Identification

- Risk Analysis

📌 Senior Data Scientist, Finance (Montreal)
🏢 Jobtailor
📍 Montreal