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Senior Data Scientist

Date: Apr 30, 2021

Location: Charlotte, US

Company: SCOR

     Americas     

Charlotte United States (US) 

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Senior Data Scientist 

Permanent 

Actuarial 

 

 

          About SCOR         

SCOR, the 4th largest reinsurer in the world, provides insurance companies with a diversified and innovative range of solutions and services to control and manage risk. Using its experience and expertise, “The Art & Science of Risk”, SCOR provides cutting-edge financial solutions, analytics tools and services in all areas related to risk – in Life & Health insurance as well as in P&C insurance. Our specialist teams operate in over 120 countries, developing value added and innovative products and services and making long-term commitments to their clients, namely insurers and large corporations.
SCOR's aim, as an independent global reinsurance company, is to develop its Life and P&C business lines, to provide its clients with a broad range of innovative reinsurance solutions and to pursue an underwriting policy founded on profitability, supported by effective risk management and a prudent investment policy, in order to offer its clients an optimum level of security, to create value for its shareholders, and to contribute to the welfare and resilience of Society by helping to protect insureds against the risks they face.

 

Job Summary

You will develop and manage advanced statistical, predictive, and machine learning models as well as provide technical services to a growing cross-functional team of data scientists, underwriters, and actuaries. You help innovate the underwriting process by creatively applying cutting edge data science techniques.

 

-Key duties and responsibilities

  • Help drive innovation in the underwriting process through close collaboration with different parties including the client, underwriters, and actuaries.
  • Help lead the development of advanced statistical, predictive, or machine learning models
  • Explore cutting edge Machine Learning methods and tools
  • Present results to stakeholders; clearly communicate complex topics
  • Key distributor of knowledge, increasing the interpretability of models through advanced understanding of artificial intelligence and machine learning
  • Collaborate with a thriving global data science community by being a key contributor on research projects.
  • Spread data science knowledge internally and externally through seminars and publications
  • Support SCOR’s recognition as a leader in data science and underwriting innovation through client meetings, articles, webinars, and publications.
  • Support efforts to commercialize SCOR’s data science capabilities, developing awareness of models in the industry and their use in the insurance process.
  • Adhere to all Information Security policies and best practices, including security awareness training and other information protection initiatives.
  • High degree of autonomy when developing models and determining the appropriateness of a given approach

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-Required experience & competencies

Experience:

  • 4+ years’ professional experience in data science with strong programming capabilities and advanced knowledge of artificial intelligences, and supervised/unsupervised machine learning techniques
  • Coach other team members towards successful and timely project completion
  • Deep understanding (academic knowledge) of predictive modelling concepts and machine-learning approaches
  • Ability to communicate, educate, and advise team members on, predictive modeling concepts, machine-learning approaches, clustering, classification (e.g GLMs, Decision Trees, SVM, Random Forests, GBM, Neural Networks, etc.)
  • Sensitive to interpretability & ethics and familiar with some tools (SHAP for instance)
  • Basics in software development best practice and code/model versioning (git usage, docstring, CI, knowledge of model versioning platforms like MLflow is a plus)
  • Familiar with working on remote devices (ssh, basic linux commands)
  • Expert knowledge of common data science programming languages such as Python (preferred) or R.
  • Experience with database query tools such as SQL (PostGreSQL, MSSQL,etc.) or NoSQL (AZ Cosmo/Mongo/Snowflake)
  • Insurance industry experience is preferred, but not required
  • Actuarial exam progress is a plus

 

Personal Competencies:

  • Creativity/Innovation - Proposes/develops new solutions and new functioning modes
  • Problem Solving - Identifies and analyses issues, proposes and rolls out relevant solutions after appropriate approvals
  • Team Building – Ability to work together with peers and independently
  • Communication - Knows how and when to develop/sustain a message and/or an idea (speaking and writing), uses the right tools to present information
  • Resilience - Demonstrates an ability to step back when facing difficult situations and to bounce back after a failure
  • Decision Making - Implements decisions taking into account all available information
  • Accountability - Alerts, raises critical points when needed, shoulders and corrects his/her decisions and shows responsibility regarding cost management
  • Reliability - Checks his/her work, challenges the solution before submitting it on time and identifies/corrects the mistakes if needed
  • Commitment - Makes effort to bring his/her skills and uses his/her expertise to contribute to the success of the Group
  • Open Mindedness - Is interested in projects and activities beyond his/her classical scope
  • Curiosity - Demonstrates an appetite for learning and developing his/her-self in his/her field of expertise, can develop new practices and methods in relation with his/her day-to-day work
  • Digital Competencies:

    Paperless working:

    - Ability to work directly on screen for document reading

    - Ability to access information: locate, select and retrieve digital information


    Analytics:

    - Ability to use data manipulation tools

    - Ability to determine data's quality, value, and relevance in different contexts

    - Ability to access information: locate, select and retrieve digital information

    - Ability to create information: generate new digital content and knowledge by organizing, integrating, adapting and applying digital information

     

    Remote working:

    - Ability to understand when and for what purpose to use the different remote management tools

    - Ability to quickly and efficiently find solutions to problems through the use of internet tools

    - Ability to use online feedback tools


    Data Security:

    - Ability to identify and assess accurate sources of information

    - Ability to use security tools when browsing the web

    - Ability to avoid malicious websites, scams and pop-up windows

    - Awareness of copyright; protect personal data; respect privacy of others/third parties

-Required Education

  • Master’s degree (Ph. D. 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.


Nearest Major Market: Lansing