Actuarial Data Scientist - ML, Big Data & Pricing

SCOR; Greater London; On-site; GBP 45,000 - 75,000; Full time

Job summary

SCOR is seeking an Actuarial Analyst to join its Analytics Team. You will work on data analytics, programming, machine learning and research and development, with opportunities to lead high-profile projects and collaborate across SCOR and with the global team.

You will help deliver the strategic plan by developing predictive models, handling large datasets, contributing to mortality and morbidity research, and supporting pricing and risk insights for clients.

Qualifications

• Experience analyzing large datasets and using data visualization tools.
• Good knowledge of Excel and Access.
• Proficiency in Python and/or R; willingness to learn.
• Interest in data science and machine learning concepts.
• Some actuarial training or exams pursued.
• Pricing experience with Prophet and SAS.
• Excellent analytical and communication skills.

Responsibilities

• Developing and enhancing predictive models.
• Large data handling and exploration.
• Research and development activities in mortality and morbidity trends.
• Pricing and risk insights for clients.
• Collaborate with internal stakeholders and clients; communicate findings.
• Support data strategy and build internal databases.

Skills

Data analysis

Data visualization

Python

R

Machine learning

Excel

Access

Education

Undergraduate Degree in Actuarial Science/Mathematics/Data Science

Tools

Prophet

SAS

Job description

SCOR is seeking an Actuarial Analyst to join its Analytics Team. You will work on data analytics, programming, machine learning and research and development, with opportunities to lead high-profile projects and collaborate across SCOR and with the global team.

You will help deliver the strategic plan by developing predictive models, handling large datasets, contributing to mortality and morbidity research, and supporting pricing and risk insights for clients.