Core Data Scientist

We are seeking a Core Data Scientist to deliver GenAI and machine learning models that align with our broader business & AI strategy. As part of a cross-functional delivery team, you work directly with business experts and SCOR clients, developing a strong understanding of their needs and build impactful AI models, in line with best practices on lean product delivery. You are part of the Data & Analytics Office, which drives the strategy, execution and governance of SCORs AI ambition, working in a global team of AI and data experts on some of SCORs (and SCOR’s clients) most important challenges and opportunities.

Required experience & competencies

- ~1-3 years’ experience in data science with solid programming capabilities and knowledge of supervised and unsupervised machine learning techniques
- Strong knowledge in statistics and basic models: mathematics (probability) + usage of libraries (sklearn, pandas)
- Uses Python in an advanced way (~go beyond notebooks, produce scripts, modules, POO, packaging)
- Capacity to use efficiently AI Agentic assistant in coding (setting skills, calibrating system prompts)
- Usage of Chain of Thoughts, prompting, and orchestration.
- Seek for answers by themselves by knowing the key concepts to look at (debugging code, google right terms, looking for proper help)
- Keeps up to date on academic research where relevant to business needs (reads ML/stats papers)
- Is able to industrialize ML models (e.g., git usage, basics on Docker) - or can quickly learn (~1/2 sprints)
- Understands and follows relevant data protection laws and best practice
- Being able to familiarize with new programming tools
- Insurance industry experience is preferred, but not required

Communication skills

- Shares and communicates about his/her work to rest of the technical team with accurate terms
- Documents his/her work (be able to write a technical report with explicit relevant and self-explicit charts, follow templates, etc.)
- High level controls on his/her work
- Proactively supports other team members with technical help and adopts a team mindset
- Is realistic with timeframes and updates relevant stakeholders on progress
- Follows some quality standard when presenting / documenting / communicating

Business acumen

- Proactively identifies and raises technical concerns/doubts on data projects
- Understands instructions and contributes to the vision by questioning or enriching the tasks defined during a project

Required Education
- Master’s degree (Ph. D. is a plus) in Science, Technology, Engineering, Mathematics, Computer Science, Actuarial or similar quantitative field
- Bachelor’s degree plus ASA or similar work experience is accepted in place of a relevant Master’s degree.