Turning complexity into clarity: How I make my mark at SCOR

Senior Core Machine Learning Engineer in Paris, Tingting Wang works at the intersection of artificial intelligence, business impact and societal resilience. At SCOR, she designs AI solutions that transform massive volumes of unstructured data into actionable insights, enabling faster, more reliable decision-making. Behind the technology lies a personal journey shaped by adaptation, curiosity and a clear conviction: innovation only matters when it makes a real difference.

Where it all begins: growing between worlds

Born in the Chinese countryside, Tingting moved to France at the age of eight. Growing up between two cultures taught her early lessons in adaptability and resilience. “You learn quickly how to observe, adjust and find your place,” she says. Those skills would later define her professional approach as much as her technical expertise.

Drawn to logic and problem-solving, she followed a demanding academic path, completing preparatory classes before entering an engineering program in computer science and mathematics. She specialized in High Performance Computing, gaining early exposure to cloud environments and large-scale systems, before earning a double diploma in Artificial Intelligence and Machine Learning. Beyond technical mastery, these years shaped a way of thinking: breaking down complexity, staying rigorous, and never stopping learning.

SCOR: the experience that shaped her path

Tingting discovered SCOR during an internship, when she met the manager who would later recruit her. At the time, reinsurance was an unfamiliar field for her. What convinced her to join was the opportunity to apply cutting-edge AI to real-world challenges with tangible impact.

She joined SCOR five years ago as a data scientist, initially working on Natural Language Processing (NLP) models such as BERT (Google) for life insurance claims. As projects expanded, her role evolved naturally toward Machine Learning Engineering, focusing on scalability, reliability, and production-ready solutions. “SCOR gave me the freedom to grow and to move from experimentation to systems that are actually used,” she explains. That trust became a decisive factor in her engagement.

Building AI that strengthens resilience

Today, Tingting sums up her mission simply: “I take advanced AI models and turn them into reliable, scalable services that help teams automate repetitive tasks and focus on higher-value decisions.” Her work combines designing, building and maintaining AI applications, always in close collaboration with product, data, and business teams.

By using modern cloud technologies, she turns complex technologies into tools that reduce manual effort, improve analysis quality and accelerate access to insights. The impact goes far beyond efficiency. By supporting more accurate risk assessment and faster decision-making, her work contributes directly to protecting clients and strengthening long-term societal resilience. For Tingting, technical excellence only matters if it serves people. “A solution is useful only if it’s understood, trusted and adopted,” she says.

A defining moment: freeing time for what matters most

A major turning point in Tingting’s journey was the development of AI Assistant, a generative AI tool built in-house at SCOR. Designed to process millions of pages of unstructured data, it is expected to deliver a 30% productivity boost by 2026, allowing underwriters to focus on high-value tasks.

The challenges were significant: ensuring data privacy, rebuilding the platform from scratch in just one week to improve performance, and aligning technical outputs with business expectations under tight deadlines. Close collaboration across teams was essential. The result proved transformative. By eliminating the need to manually sift through thousands of pages, AI Assistant enables faster, more accurate risk assessments, especially in time-sensitive contexts such as post-disaster analysis. “That’s when I truly saw the impact of what we build,” Tingting reflects.

Looking ahead, and passing it on

What motivates Tingting today is the balance between hands-on problem-solving, rapid innovation, and a deeply collaborative culture. She sees her role increasingly as one of transmission, sharing knowledge and helping teams navigate complexity.

Looking to the future, she believes AI will become more autonomous, but human judgment will remain central. Transparency, ethics, and continuous learning will be essential to maintain trust and deliver meaningful value. To those who want to make their mark at SCOR, her advice is simple: be curious, collaborate widely, and take ownership. “Here, you don’t just build technology,” she says. “You build solutions that truly matter.”