Summary
Overview
Work History
Education
Skills
Technical skills
Languages
Interests
Timeline
Generic

Mathieu Le Floch

Austin

Summary

Results‑driven Data Science leader with over 10 years of experience in Data Science, including 8+ years building and leading global teams to deliver cutting‑edge AI and fraud detection solutions. Proven track record scaling operations across North America, Europe, and APAC; driving pre‑sales support; and leading cross-functional strategic initiatives. Skilled in building and productionalizing Data Science models used by thousands of users, always prioritizing business impact over technical complexity.

Overview

10
10
years of professional experience

Work History

Head of Data Science, North America

Shift Technology
03.2021 - Current
  • Lead and mentor a department of 50+ data scientists and engineers across the US, Canada, Brazil, and France, cultivating a culture of high quality, collaboration, accountability and continuous learning.
  • Drive end‑to‑end deployment of AI‑powered fraud‑detection solutions for US P&C insurers, including multiple Fortune 500 carriers, consistently delivering projects on time and within budget.
  • Oversee production monitoring and support for 20+ clients, managing SLAs, troubleshooting issues, monitoring model accuracy, and driving continuous improvements.
  • Define and own the product roadmap, prioritizing features and enhancements through market trends, SME insights, client feedback, and strategic objectives.
  • Collaborate with Delivery, Customer Success, and GTM teams to streamline implementations, accelerate deal cycles, and convert opportunities into revenue.
  • Lead Shift Insurance Data Network, Shift most strategic initiative, to allow insurance companies to share their data and generate industry-wide AI insights to help them better fight fraud.

Head of Data Science Asia Pacific & Japan

Shift Technology
10.2016 - 03.2021
  • Established and scaled Shift’s APAC & Japan Data Science organization, launching the Singapore office in Oct 2016 and a Tokyo hub in Jan 2018, growing the team to 15+ data scientists.
  • Localized global fraud‑detection models for Asian markets (Singapore, Hong-Kong, Malaysia, Thailand, Indonesia, India, Japan), adapting algorithms to regional business contexts and data specificities.
  • Delivered pre‑sales workshops and POCs for regional insurers, expanding the customer base from a single pilot to 12 signed carriers.
  • Led recruitment, onboarding, and training efforts in close collaboration with Paris HQ, standardizing methodologies, governance, and best practices across regions.

Data Scientist

Shift Technology
03.2015 - 10.2016
  • Early team member(10th hire of today’s 600+) and Data Scientist #2 (team now 200+), instrumental in shaping Shift’s core fraud‑detection platform.
  • Architected and deployed end‑to‑end fraud‑detection pipelines, from data mapping and feature engineering through model validation to production deployment, automating the identification of complex fraud patterns.
  • Collaborated directly with the first customers on proof‑of‑concepts, translating their domain expertise into fraud detection models.
  • Specialized in network detection and provider fraud detection, uncovering sophisticated fraud rings across diverse markets.
  • Onboarded and mentored new data scientists, establishing team standards for code review, data versioning, and model governance.

Education

Master of Science - Applied Mathematics

Ecole Centrale De Lyon
Lyon, France
03-2015

Preparatory Classes - Mathematics & Physics

Lycée Du Parc
Lyon, France
06-2011

Skills

  • Leadership & Team Development: Scale & mentor distributed data science teams; coach managers & senior ICs
  • Strategic Vision & Agile Execution: Apply an iterative, agile approach, leveraging the 80/20 rule to achieve rapid wins while staying aligned with long‑term objectives
  • Customer‑Centric Product Innovation
    Leverage data science to enhance user experience and operational efficiency; maintain relentless focus on delivering tangible value to end‑users
  • Advanced Analytical Techniques & Production Excellence: Design robust ETL pipelines and integrate external data; build predictive, graph, and NLP models under strict coding standards and CI/CD practices
  • Cross‑Functional Partnership: Collaborate with Delivery, GTM, Customer Success, and Product teams to align analytics initiatives with market strategies, operational execution, and customer outcomes

Technical skills

  • Languages: C#, Python, SQL
  • Frameworks & Tools: Databricks, Flask, Scrapy, Selenium
  • Other: Git, Agile/Scrum, JIRA

Languages

English
Native or Bilingual
French
Native or Bilingual

Interests

  • Handball: 15 years of competition at national level, 2 years as coach, national champion of Singapore in 2017 and 2018
  • The Picky Kitty: Created and launched wwwthepickykittycom (Flask React), a cat food recommendation engine with a searchable catalog of 1,500 products found online and personalized diet suggestions for picky and medically‑sensitive cats

Timeline

Head of Data Science, North America

Shift Technology
03.2021 - Current

Head of Data Science Asia Pacific & Japan

Shift Technology
10.2016 - 03.2021

Data Scientist

Shift Technology
03.2015 - 10.2016

Master of Science - Applied Mathematics

Ecole Centrale De Lyon

Preparatory Classes - Mathematics & Physics

Lycée Du Parc

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