Senior Data Scientist

Chubb; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading global insurance company is seeking a Senior Data Scientist to implement data-driven solutions and innovate using machine learning and AI. This role requires strong expertise in predictive modeling, collaboration with business stakeholders, and a proactive approach to project management. Applicants should have significant experience in deploying ML solutions, especially in the insurance sector, along with exceptional communication skills and relevant educational background.

Qualifications

• 6+ years of hands-on experience in data science with a focus on ML / AI.
• Experience with industry-specific data challenges, particularly in insurance.
• Exceptional communication skills for diverse audiences.

Responsibilities

• Lead design and development of machine learning models.
• Deploy AI solutions aligned with business objectives.
• Collaborate with stakeholders to deliver impactful solutions.

Skills

Machine Learning

Predictive Modeling

AI Solutions

Python

Data Visualization

Education

Bachelors or Masters degree in Statistics, Mathematics, Analytics, Computer Science or a related field

Tools

TensorFlow

Pandas

Scikit-learn

Job description

Description

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.

Required Experience: Senior IC

Employment Type: Full-Time

Department / Functional Area: Analytics

Experience: years

Vacancy: 1