Senior Data Scientist, Hybrid London, Insurance Analytics

QBE France; Greater London; Hybrid; GBP 70,000 - GBP 90,000; Full time

Job summary

A leading international insurer is seeking a Senior Data Scientist to join their analytics team in London. In this hybrid role, you will leverage data science and machine learning to tackle real-world challenges within the commercial insurance sector. You will be responsible for delivering high-impact analytics, mentoring junior team members, and collaborating across cross-functional teams to implement innovative solutions. Candidates should have advanced Python skills, experience in commercial insurance, and strong communication abilities.

Benefits

30 days holiday with options to buy more

Flexible working arrangements

10% employer pension contributions

Fully funded private medical insurance

Family friendly leave policies

Short-term remote work abroad

Cycle-to-Work benefits

Qualifications

• Hands-on experience in delivering analytics solutions that drive business impact.
• Ability to lead analytical projects and coordinate across stakeholders.
• Experience mentoring junior data scientists.

Responsibilities

• Deliver high-quality, impactful analytics, ML, and AI solutions.
• Lead multidisciplinary analytical projects spanning various functions.
• Ensure models meet documentation and regulatory standards.

Skills

Data Science experience in commercial insurance

Advanced Python (pandas, NumPy, scikit-learn)

Excellent communication and storytelling

Stakeholder management skills

Tools

Cloud-based Linux environments (Azure, AWS, GCP)

Git

Job description

A leading international insurer is seeking a Senior Data Scientist to join their analytics team in London. In this hybrid role, you will leverage data science and machine learning to tackle real-world challenges within the commercial insurance sector. You will be responsible for delivering high-impact analytics, mentoring junior team members, and collaborating across cross-functional teams to implement innovative solutions. Candidates should have advanced Python skills, experience in commercial insurance, and strong communication abilities.