TL;DR

Data Scientist: Building and delivering data science solutions including generative AI to support decision making across the organisation with an accent on automation, underwriting, pricing risk, and claims functions. Focus on developing AI/ML models, working with diverse data sources, and enabling business insights.

What you will do

Build data science solutions using conventional and generative AI techniques.
Develop models and analytics to support front and back office tasks including underwriting, pricing risk, and claims.
Work with public and private data sources, cloud services, and ML operations.
Collaborate in an Agile environment with a prototype and iterate mindset.
Communicate effectively with technical and non-technical stakeholders.

Requirements

English: B2 level or higher required
Experience with data science and generative AI tools.
Basic understanding of statistics for model assessment.
Proficiency in Python coding with code quality and version control awareness.
Experience working in Agile teams.

Culture & Benefits

Work with a data-driven, insight-led culture focused on continuous improvement.
Collaborate with a virtual, cross-functional data team.
Opportunity to work on innovative AI and data analytics projects.