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About the Role

This role involves leading innovative AI solutions, translating business needs into models, and collaborating across teams. The Data Scientist will drive impact with autonomy, creativity, and cutting-edge machine learning expertise, shaping the future of data-driven insights.

Responsibilities

• Understand operational business needs and translate them into solutions.
• Apply latest GenAI techniques to solve business problems.
• Utilize data science tools, including machine learning, visualization, and GenAI, to address business challenges.
• Collaborate with IT and business departments to ensure operational use of results and measure impact on key business indicators.
• Collaborate with cross-functional teams to share expertise and implement advanced solutions.
• Build business relationships and provide technical leadership and guidance.
• Manage and transmit knowledge through documentation and events.
• Contribute to the innovation and advancement of machine learning capabilities.

Requirements

• 5+ years of professional experience.
• Work experience in an international environment (plus).
• Work experience in insurance (strong plus).

Skills

• Ability to model business reality into equations and understand model implications and limitations.
• Deep understanding of machine learning concepts and algorithms.
• Understanding of modern Large Language Models, including experience with inference, APIs, and fine-tuning.
• Excellent knowledge of machine learning tools and libraries.
• Experience in data processing, relational and NoSQL databases, and data visualization.
• Good programming skills (Python, Java).
• Good software engineering culture (e.g., source control systems, code reviews).
• Experience with cloud platforms (e.g., Google Cloud, AWS, Azure).
• Strong communication and storytelling skills.
• Analytical skills to produce useful business insights.
• Discipline in writing technical and non-technical documentation.
• Ability to work efficiently in multi-disciplinary teams.
• Ability to contribute to complex projects with multiple stakeholders.
• Business acumen.
• Problem-solving oriented mindset.
• Commitment to continuous improvement of Data Science skills.
• Autonomy, curiosity, and innovation capability.
• Fluent in spoken and written English (mandatory).
• French language skills (plus).

Experience Level

• 5+ years of professional experience.
• International work experience (plus).
• Insurance industry experience (strong plus).

Education Level

• Master’s degree, equivalent dual diploma, or PhD in finance, actuarial science, mathematics, statistics, economics, computer science, physics, or related field.

About the Company

• AXA is transforming into a sustainable tech-led company, with AXA Group Operations serving as a key catalyst.
• AXA Group Operations drives the evolution of the insurance business model through technology and innovation, ensuring global implementation with high-quality advisory and execution.
• Present across 17 countries with committed, highly qualified teams.
• Leverages technology, data, sourcing, security, and investment allocation globally, achieving economies of scale and synergies.
• Recognized for state-of-the-art Data Technology to enhance customer experience, Procurement & Sourcing for efficiency and risk management, and a High-Performing Global Team for strong partnerships with AXA entities.
• AXA is a world-leading insurance company committed to human progress by protecting what matters.
• Operates in 54 countries with 153,000 employees serving 105 million customers, fostering a dynamic and vibrant community.
• Values inclusion and diversity, nurturing a culture of respect for employees, customers, and communities.
• Fosters an environment where employees feel they belong, are included, and can thrive.
• Supports employees in shaping their work, growing potential, seeking opportunities, and making an impact.

Equal Opportunity

• Committed to equal opportunities in all aspects of employment (gender, LGBT+, disabled persons, or people of different origins) and promoting Diversity & Inclusion by creating a respectful work environment where individual differences are valued.