Overview

About Groupe d’analyse (Analysis Group)

Make an impact at Groupe d'analyse (Analysis Group), where we provide our clients with thoughtful, pragmatic solutions to their most challenging business and litigation problems. Groupe d'analyse (Analysis Group) is one of the largest economics consulting firms, with more than 1,500 professionals across 15 offices in North America, Europe, and Asia. Since 1981, we have provided expertise in economics, finance, health care analytics, and strategy to top law firms, Fortune Global 500 companies, and government agencies worldwide. Our internal experts, together with our network of affiliated experts from academia, industry, and government, offer our clients exceptional breadth and depth of expertise.

About the Senior Data Scientist position:

Senior Data Scientists at Groupe d'analyse (Analysis Group) help design, implement and maintain creative solutions to high-profile business challenges in finance, economics and health care across multiple industries. To this end, Senior Data Scientists are responsible for staying abreast of new developments in technology and data science, including generative artificial intelligence (“AI”), and communicating within the firm to help identify opportunities for cutting-edge tools, applications and data sources. Career development at Groupe d'analyse (Analysis Group) includes opportunities for growth in technical skills as well as in project management, analytical strategy and collaborative business development, depending on individual skills and interests, and with support and mentorship from senior staff.

Key Responsibilities:

- Working with project teams to address data science and computing challenges.




- Identifying opportunities for technology to enhance service offerings.
- Acting as a resource and participating in client engagements and research as part of the project team.
- Maintaining up-to-date knowledge of computing tools, providing technical training and helping to grow the in-house knowledge base of the data science landscape.

Activities:

- Conducting advanced statistical and mathematical analyses to address complex research questions to derive actionable insights that support client decision-making.
- Designing, developing, validating, and deploying data engineering, artificial intelligence, and machine learning production systems for full stack data science projects.
- Using natural language processing and generative AI to analyze EMR data, social media data, and other unstructured data.
- Optimizing procedures for managing and accessing large databases (e.g., insurance claims, electronic health records, financial transactions).
- Creating interactive analytics portals and data visualizations (e.g., using R/Shiny, Python/Flask, D3).
- Leveraging on grid and cloud computing environments, and developing software packages in R, Python, and other object-oriented languages.
- Establishing optimized procedures for repetitive or computationally intensive tasks (C, C++,



CUDA).

Qualifications:

- PhD ideally in Computer Science, Mathematics, Statistics, Economics or other relevant scientific fields.
- Proven ability to independently apply advanced statistical and mathematical methods to tackle complex research questions and drive meaningful insights.
- Strong credentials and experience in working with both structured and unstructured data, along with data visualization skills, are required.
- Proficiency in Python and/or R is required, with project experience in either language.
- Strong familiarity with generative AI concepts (e.g., embeddings, vector search, retrieval-augmented generation, prompt design, tool calling, structured generation, and context management), with the ability and interest to stay current with new and emerging developments.
- Practical experience designing, prototyping, or deploying AI agents, agentic workflows, or other generative AI powered solutions.
- Understanding of the risks, limitations, and responsible-use considerations of generative AI, along with best practices for designing and deploying generative AI powered applications and systems.
- Familiarity with online/cloud computing and storage platforms (e.g., Azure, AWS) is preferred, along with experience working within an HPC environment.
- Experience working within a Linux setting is a plus, as well as experience with Docker and front-end development using a JavaScript framework (e.g., Vue.js, Angular).
- Eagerness and ability to quickly learn new skills, analytical methodologies, and technologies to effectively support and contribute to project te

📌 Senior Data Scientist (Montreal)
🏢 UNAVAILABLE
📍 Montreal