Senior Core Data Scientist

Key Skills

Aartificial intelligence, Algorithms, AWS, Azure, Data science techniques, Effective communication skills, Machine learning techniques, Natural Language Processing (NLP), Python Programming

Job Description

Hybrid work policy: SCOR is committed to an in-office culture where people can collaborate, exchange ideas, and establish stronger working relationships while still 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.

A Senior Core Data Scientist has expert-level knowledge of python and machine learning. They also have good communication skills to provide technical expertise to clients and work effectively in a global and cross-functional team of data scientists, underwriters, and actuaries. 

The Senior Core Data Scientist will work as part of Data Analytics Services Team, which supports SCOR in optimizing the use of data to drive internal efficiencies, improve profitability or offer new services to our clients across Life and P&C businesses. As part of Data Analytics Services Team, they will share the responsibility to increase and spread the application and knowledge of data science across the organization.

RESPONSIBILITIES

• Develop advanced statistical and machine learning models using deep knowledge of the algorithms 
• Use knowledge of python and other ML tools to write reproducible pipelines while applying coding best practices such as version control and testing where appropriate. 
• Have a high degree of autonomy in following areas – generating hypothesis, designing experiments to prove/refute the hypotheses, validating methodologies, and managing various cloud data science environments 
• Work collaboratively with clients, underwriters and actuaries, show ownership, and be able to deliver results on time 
• Be a key contributor to both Life and P&C business-related projects in the Americas market (US/Canada) as a first priority but also on global projects 
• Maintain and grow expertise in areas such as algorithmic underwriting for both life and P&C insurance, computer vision, document information retrieval, NLP, explainability/interpretability of ML, and algorithmic fairness 
• Ensure models are interpretable and communicated clearly to a range of stakeholders 
• Communicate findings to team and leadership - build dashboards, visualizations, slides, and write technical reports for sharing of knowledge. 
• Be aware of regulatory and reputational risk when developing AI tools and suggest ways of mitigating these 
• Be fully compliant with local data protection legislation 

QUALIFICATIONS

• ~3-5 years’ experience as a data scientist with advanced knowledge of python and ML 
• Advanced understanding of supervised learning, unsupervised learning, and statistical inference 
• Advanced knowledge of at least two of the following packages: xgboost, pytorch, scikit-learn 
• Working knowledge of sql, prior exposure to database technologies such as mysql, snowflake, redshift, databricks preferred 
• Experience with gitflow, and python packaging 
• Ability to adapt communication style to the level of technical expertise of the audience 
• Experience with cloud computing platforms such as AWS and Microsoft Azure 
• Experience with productionizing ML models and/or building data pipelines 
• Insurance industry experience is preferred, but not required 
• 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.