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AXA

Global insurer offering life, property, casualty

Manager Data Science

Data ScienceUpdated on Nov 11
Full-timeSuresnes, France

About the Job

Requirements

  • A Bac+5 qualification in data science, data engineering, or software engineering is required.
  • At least 5 years of experience with data products in production is required; an initial management or technical leadership experience is advantageous but not mandatory.
  • Skills in data science, including machine learning, MLOps, statistical analysis, data exploration, and feature selection, are required.
  • Skills in data engineering, including Python, Spark, Databricks, ETL, and SQL and NoSQL databases, are required.
  • Expertise in data pipeline design, parallel computing, data structures and repositories, data quality, and monitoring practices is required, including data drift, statistical checks, error calculations, alerting, and dashboards.
  • The candidate must be able to structure complex topics, make decisions, communicate clearly, and bring technical and business stakeholders together around shared solutions.
  • Rigor, autonomy, initiative, and the ability to turn business needs into industrialized solutions are required.

Responsibilities

  • Organize and structure the new team, define its roadmap, and prioritize projects according to the needs of the IT Pricing unit and Technical Directorate.
  • Support the two team members in developing their skills and autonomy and in delivering successful work.
  • Coordinate collaboration with actuarial, Data, Photon, and Quantum teams and develop synergies around data, tools, and good practices.
  • Industrialize preparation of data for the study of new variables, including source access, formatting, joins with portfolios and segments, documentation, and backfills.
  • Provide statistical and business evaluation tools to speed up qualification of new variables and their sharing with teams.
  • Lead integration of selected variables into production models and services, coordinating work with contributing teams.
  • Design and maintain a Feature Store centralizing criteria and meta-criteria, their definitions, default values, calculation rules, uses, and history.
  • Define and automate quality checks for variables in production, including completeness, consistency, data drift, error calculations, and statistical indicators.
  • Implement monitoring and dashboards, organize alerting and anomaly analysis, and track fixes with relevant teams.
  • Contribute to creating and maintaining shared reference databases, including the central criteria database and repricing databases.
  • Design high-performance, documented, maintainable data pipelines suited to parallel processing and the Technical Directorate's data volumes.
  • Promote shared data structures, development standards, and documentation practices to improve team velocity and reliability.

Desired Qualifications

  • An initial experience in management or technical leadership is desirable.

About the Company

AXA

Global insurer offering life, property, casualty

AXA is a global insurer and asset manager that provides life, health, and property and casualty insurance, as well as related financial services. Its products work by customers paying insurance premiums in exchange for coverage against risks; AXA pools risk across many policyholders, prices premiums based on risk, and pays claims when events occur, while also offering investment and retirement products through its asset management arm. The company has grown through large acquisitions, giving it a wide geographic footprint and a diverse mix of personal, commercial, and specialty insurance offerings. This scale and breadth set AXA apart from many competitors, alongside a long history of strategic mergers that expanded its reach to customers around the world. AXA’s goal is to be a leading global insurer and asset manager, delivering financial protection and long-term value to customers and stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1816

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