Senior Data Scientist
Description Chubb
- London, England, United Kingdom
- London, England, United Kingdom
À propos
Chubb is a global leader in the insurance industry committed to delivering innovative solutions that meet the evolving needs of our clients. We are seeking a highly skilled and experienced
Senior Data Scientist
to join our team and play a pivotal role in driving data-driven decision-making and innovation. If you are passionate about leveraging data science, machine learning, and AI to solve complex business challenges we want to hear from you. As a Senior Data Scientist at Chubb you will serve as a subject matter expert in
Predictive Modeling ,
Machine Learning Algorithms , and
AI Solutions
with a strong focus on the insurance sector. You will collaborate with business stakeholders to design, develop, and deploy impactful data science solutions that drive measurable value. This role requires a blend of technical expertise, strategic thinking, and exceptional communication skills to ensure the successful adoption of data-driven initiatives across the organization.
Key Responsibilities
Model Development:
Lead the design and development of machine learning models ensuring optimal performance and practical application in production environments. Solution Deployment:
Deploy robust, scalable, and production-ready ML/AI solutions aligned with business objectives. Collaboration:
Partner with ML Engineers to create scalable systems and model architectures for real-time ML/AI services. AI Innovation:
Work closely with AI engineers to design and implement AI solutions that address complex business challenges. Stakeholder Communication:
Translate complex data science and AI concepts into clear actionable insights for both technical and non-technical audiences. Quality Assurance:
Review team deliverables including code and presentations to ensure high-quality outputs before sharing with stakeholders. Mentorship:
Mentor and guide team members to foster a high-performance collaborative work environment. Project Management:
Plan and manage projects proactively, ensuring seamless product integration and adherence to industry best practices in ML. Business Impact:
Collaborate with business stakeholders, product owners, and data teams to develop impactful solutions to business problems. Performance Metrics:
Define and track key performance indicators (KPIs) to measure the value delivered to end-users.
Qualifications
Experience: Minimum of 6 years of hands-on experience in data science with a proven track record of deploying ML/AI solutions in production environments. Extensive experience in the insurance sector with a deep understanding of industry-specific data challenges. Bachelors or Masters degree in Statistics, Mathematics, Analytics, Computer Science or a related field. Strong expertise in machine learning techniques including ensemble methods, decision trees, and regression analysis. Solid understanding of AI fundamentals including Retrieval-Augmented Generation (RAG) and Agentic frameworks. Advanced proficiency in Python and its data science libraries (e.g. pandas, scikit-learn, TensorFlow). Exceptional presentation and communication skills with the ability to convey complex findings to diverse audiences. Proven experience working directly with business stakeholders to deliver impactful solutions. Education: Bachelors or Masters degree in Statistics, Mathematics, Analytics, Computer Science or a related field. Technical Expertise: Strong expertise in machine learning techniques including ensemble methods, decision trees, and regression analysis. Solid understanding of AI fundamentals including Retrieval-Augmented Generation (RAG) and Agentic frameworks. Advanced proficiency in Python and its data science libraries (e.g. pandas, scikit-learn, TensorFlow). Soft Skills: Exceptional presentation and communication skills with the ability to convey complex findings to diverse audiences. Proven experience working directly with business stakeholders to deliver impactful solutions.
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Compétences linguistiques
- English
Avis aux utilisateurs
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