Senior Data Scientist

Who we are

At CoverWallet, we are determined to revolutionize the insurance industry! Launched in 2015, we are the leading digital platform for contracting insurance for small and medium-sized companies. Thanks to state-of-the-art technology and meticulous design, we have simplified insurance management and processing into a quick, easy, and online process—done in minutes!

Our passion is delivering innovation and value through technology. Our mission is to become the world’s leading InsurTech. We have built an incredible team of approximately 800 people based in New York, Spain, Poland, and Singapore. As part of Aon, a global leader in risk, retirement, and health solutions with 50,000 colleagues worldwide, we combine the mindset of a high-growth startup with the support of a multinational corporation. The best of both worlds!

What you will do

We are seeking a seasoned and strategic Senior Data Scientist to join our high-impact Data Science team. This leadership role involves guiding data initiatives that influence key decisions across product, sales, marketing, operations, and customer experience. You will collaborate with stakeholders to drive innovation through advanced analytics, predictive modeling, and machine learning solutions—transforming complex data into tangible business outcomes at scale. If you thrive in dynamic environments, enjoy mentoring others, and possess a strong technical and strategic mindset, we want to hear from you.

A typical day

• Lead the development and deployment of scalable machine learning solutions and advanced analytics for high-impact use cases.
• Partner with senior business leaders to identify opportunities for data science to support strategic initiatives.
• Design, implement, and evaluate experimentation frameworks, including A / B testing and causal inference.
• Manage and improve production-grade scoring models, recommendation systems, and automation tools.
• Mentor and provide technical leadership to mid-level and junior data scientists.
• Oversee the full lifecycle of data science projects—from concept to deployment and monitoring.
• Promote best practices in model development, testing, and ML Ops pipelines.
• Collaborate with data engineering, product, and operations teams to ensure scalable solutions.
• Represent as a subject matter expert in external and cross-team collaborations.
• Evaluate and adopt new technologies, methodologies, and tools to push boundaries.
• Translate complex data insights into clear business narratives for diverse stakeholders.

What you need to succeed

Bonus Points For

About the recruitment process

Why CoverWallet

Join us to be a key player in transforming one of the largest industries in a vibrant digital market. Work in a cutting-edge environment with a diverse global team. Build your career with us, tailored to your aspirations. Our benefits include :

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