Core AI Specialist

We are seeking a Core AI Specialist 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 AI and Advanced Analytics team, 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.

• 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.
• ~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 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.

You may not meet every requirement listed in the job description. If you bring broad expertise and alignment to the role and resonate with our core values, we encourage you to apply.

Relocation assistance within the U.S. is available for this position. Candidates must have valid authorization to work in the U.S. without the need for employer sponsorship now or in the future.

Hybrid Work Policy:

SCOR is committed to an “in-office” culture where people can collaborate, exchange ideas, and establish stronger working relationships while ll providing flexibility. To support employee work-life balance and increase opportunities for employees to excel every day, SCOR operates with a hybrid working arrangement. SCOR employees work 3 days per week in an office with the flexibility to work 2 days per week remotely.

At SCOR, we CARE about clients, people, and societies, and we are committed to placing them at the center of everything we do. Providing great benefit choices to you and your family is just one of the ways we support the physical, financial, and emotional well-being of the people who make our company successful – you.

Benefits We Offer
•        Medical, vision, and dental coverage
•        401(k) Plan with a competitive match
•        Company-funded Defined Contribution Retirement Program
•        Life and AD&D insurance
•        Long- and Short-Term Disability
•        Flexible Parental Leave
•        Unlimited Sick Days
•        Volunteer Time
•        Summer Fridays
•        Learning & Development Resources
•        Personal Wellness Tools and Rewards
•        Competitively priced gym memberships from a large nationwide network of gym brands and local fitness studios
•        And More!


Pay Range for roles performed in CLT: $111,000-$135,500 base salary per year. Actual salaries may vary based on various factors including but not limited to location, experience, role and performance. The range listed is just one component of SCOR's total compensation package for employees. Other rewards may include annual bonuses, short- and long term incentives. In addition, we provide a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement saving plan, paid holidays and paid time off.
 

Approach

• Develop advanced statistical, predictive, or machine learning models using deep knowledge of the algorithms and hyperparameters and systematically applying coding best practices.
• Have a high degree of autonomy when developing models and determining the appropriateness of a given approach.
• Structure thoughts and guidelines in advance way when using agentic tools – being in capacity to challenge intermediate results, robustness and to manual reproduce specific outcomes for proper validation. 

Projects

• Being a hands-on and active doer in the delivery of projects.
• Help driving innovation in insurance areas through close collaboration with different parties including the client, underwriters, and actuaries.
• Contribute to key topics of priority to the team and deliver on-time to agreed quality standards.
• Be a key contributor to regional market projects as first priority, but also a core contributor on global projects including OCR, NLP, Gen AI, visualization, templates, etc.
• Support strategic innovation initiatives globally to transform process (e.g. underwriting) from a machine learning perspective.

R&D

• Proactively identify relevant R&D for business needs.
• Be able to conduct research spikes to solve technical challenge.
• Collaborate with SCOR’s thriving global data analytics community by being a key contributor on research projects and communication.

Communication

• Increase the interpretability of models through advanced understanding of artificial intelligence and machine learning.
• Present results to stakeholders; clearly communicate complex topics by applying appropriate interpretation techniques and visualizes these for the benefit of internal/external clients.
• As a member of the Data Science chapter, the Core AI Specialist will be an ambassador of the existing chapter and contribute to it (participating to training, maintain a certain level of knowledge by getting training as well on advance topics and developing skills): Be a key distributor of knowledge within SCOR globally.
• Spread AI and data science knowledge externally through seminars and publications. 

Compliance

• Adhere to all Information Security policies and best practices, including security awareness training and other information protection initiatives.
• Be fully compliant with GDPR and other local data protection legislation.
• Be aware of regulatory and reputational risk when developing consumer-facing AI tools and suggest ways of mitigating these.