Data Scientist
Louise Ferbach
Louise contributes to the design and deployment of cloud-based analytics pipelines, helping organizations transform complex datasets into actionable insights. Her work supports decision-making through predictive modeling, anomaly detection, and natural language processing.
Prior to her current role, Louise developed statistical tools and machine learning models for insurance, where she led cross-functional projects involving EHR data, multilingual OCR pipelines, and cloud-based solutions. She is passionate about improving access to quality data and building systems that serve the public interest.
Louise is a fully certified actuary and holds two master’s degrees in actuarial science, statistics, and finance from ENSAE and the Polytechnic Institute of Paris.
Recently Added
The Case for Better Labour Market Information in Canada’s Foreign Credential Recognition Process
LMIC report explores how a lack of cohesive and accessible labour market information and a complex credential recognition system pose challenges for skilled newcomers trying to integrate into Canada’s labour…
Reflections from CEWIL 2025: Staff Takeaways on Work-Integrated Learning
The impact and potential of work-integrated learning are real LMIC arrived in Hamilton for CEWIL Canada’s annual conference amid an economy in flux, educational institutions facing a new fiscal reality…
LMIC Snapshot: Labour market resilience in the face of an aging population
Based on LMIC’s research report Labour market resilience in the face of an aging population, this summary highlights key findings on the impact of mature workers in Canada’s labour market,…
Mirage or Reality? The Limitations of Online Job Postings
Introduction Online job postings (OJP) are everywhere-on LinkedIn, platforms like Indeed, and company websites. But as more researchers, policymakers, and educators turn to OJP for real-time insights, one important question…
LMIC Snapshot: What can job postings can tell us about skills in Canada
Based on LMIC’s research report, this summary highlights key findings on skill demand trends in Canada, including the growing importance of digital and technical skills, emerging patterns across industries, and…
Reflections from the 2025 Polytechnics Showcase
A first impression of Winnipeg Truth and reconciliation in action The role of Indigenous people in Winnipeg and Canada’s history and the importance of meaningfully working with Indigenous people to…
Benchmarking Online Job Postings to the Job Vacancy and Wage Survey to Improve Vacancy Estimates
A new LMIC demonstration report applies machine learning and statistical benchmarking to improve the accuracy of job vacancy estimates using online job postings.
Welcome to Canada! (But Not the Full Labour Market)
Introduction Every year, thousands of skilled newcomers arrive in Canada, ready to put their expertise to work. What many believe will be a straightforward process of verifying their education, skills,…
Connecting Skills: Using online job postings to unravel the demand for skills in the labour market
This report presents comprehensive insights into the relationships between skills in Canada’s labour market. The content is tailored for researchers, policy analysts, and academics focused on labour and training.
Harnessing Artificial Intelligence for Labour Market Insights
How the Labour Market Information Council is exploring artificial intelligence to support the labour market information ecosystem With advancements in computing infrastructure, deep learning, and natural language processing, artificial intelligence…