Senior Core Data Scientist

SCOR

  • Paris
  • CDI
  • Temps-plein
  • Il y a 1 mois
Job Category: Data ScienceJob Description:Job SummaryWe are seeking a Senior Core Data Scientist with a focus on Life & Health domain knowledge to deliver advanced statistical, predictive, and machine learning models that align with our broader L&H business & AI strategy. As part of a cross-functional delivery team (underwriters, medical doctors, actuaries, machine learning engineers, etc.), you work directly with business experts and SCOR L&H 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 most important challenges and opportunities.Responsibilities:Key duties and responsibilitiesApproach
  • Develop advanced statistical, predictive, or machine learning models using deep knowledge of the algorithms and hyperparameters and systematically applying coding best practices.
  • Have an understanding of L&H actuarial technics (Experience Analysis, survival modelling) and embed them into relevant modelling approach.
  • Have a high degree of autonomy when developing models and determining the appropriateness of a given approach
Projects
  • Help driving innovation in the underwriting process through close collaboration with different parties including the client, underwriters, and actuaries.
  • Own topics of priority to the team and deliver on-time to agreed quality standards
  • Be a key contributor to all predictive UW and claims related projects supporting all regions and internal/external clients.
  • Support strategic innovation initiatives globally to transform process (e.g. underwriting, claims) from a machine learning perspective.
R&D
  • Proactively identify relevant R&D for business needs
  • Collaborate with SCOR's thriving global AI community by being a key contributor on research projects
Communication
  • Increase the interpretability of models through advanced understanding of AI and machine learning
  • Present results to stakeholders and explain complex topics clearly using suitable interpretation methods for clients.
  • As a member of the Data Science chapter, the Senior Data Scientist 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 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
Qualifications:Required experience & competencies
  • ~3-5 years' experience in data science with strong programming capabilities and advanced knowledge of supervised and unsupervised machine learning techniques
  • Insurance industry experience is required
  • Can perform code peer reviews and merge requests
  • Strong critical thinking skills and ability to learn quickly
  • Good technical expertise on cloud computing platforms such as AWS and Microsoft Azure (or sufficient basics to learn fast the usage of cloud technologies)
  • Expert knowledge of Python
  • Experience using machine learning to develop high-quality and practical solutions
  • Deep understanding of predictive modeling concepts, machine-learning approaches, clustering, classification and crowdsourcing techniques (e.g GLMs, Decision Trees, SVM, Random Forests, GBM, PCA, Bayesian Networks, Neural Networks, etc.) applied to L&H
  • Ability to communicate, educate, and advise colleagues and clients on predictive modeling concepts, machine-learning approaches, clustering, classification and crowdsourcing techniques (e.g GLMs, Decision Trees, SVM, Random Forests, GBM, PCA, Bayesian Networks, Neural Networks, etc.)
  • Ability to adapt communication style to the level of technical expertise of the audience
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.
About Us:As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies.As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

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