Senior Data ScientistChubb Insurance Hong Kong • London, England, United Kingdom
Cette offre d'emploi n'est plus disponible
Senior Data Scientist
Chubb Insurance Hong Kong
- London, England, United Kingdom
- London, England, United Kingdom
À propos
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.
Bachelor’s or Master’s 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:
Bachelor’s or Master’s 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.
#J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre a été publiée par l’un de nos partenaires. Vous pouvez consulter l’offre originale ici.