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    The Data Science Experience

     

    Come explore real examples of innovation in action as applied analytics and
    AI brought to you by the people making it happen in the functions that
    turn the wheels of progress forward in each organization.

    Each “spotlight” provides a different perspective on how
    SAS Viya makes it possible.

    Insurance Data Scientists

    The work of the data scientist in the insurance sector has huge potential for wide impact. And the entire industry is undergoing radical change, driven by ever-higher customer service expectations and opportunities presented by digital innovation. To stay relevant, insurers must become hyperintelligent, AI-driven and customer centered. That means data scientists must flex their superpowers to up their game like never before.

    This spotlight features insurance data scientists from different corners of the world who are upping their game in important ways to tackle fraud and improve claims processing with innovative machine learning models. And the need to be responsive to customers means internal changes as well. Hear how one expert makes his mark by empowering others to self-serve their exploration and become citizen data scientists.

    Each path to becoming a data scientist is different, but all are paved and maintained with the same important material – curiosity. Scroll below and visit each one to discover for yourself.

    Tim Chin
     
    Tim Chin is a Data Scientist at State Farm, the largest auto and homeowner’s insurer in the United States. His day-to-day work involves building predictive models and researching new machine learning techniques. As a result of utilizing data science in the insurance industry, customers are able to face enhanced user experiences where they interact with modernized, fast predictive models from getting a quote to filing a claim.

    Tim holds a bachelor's degree in economics and statistics as well as a master's degree in statistics from the University of Illinois at Urbana-Champaign. In his free time, he enjoys cooking new recipes, going to the gym, watching new movies and TV shows, attending classical orchestra concerts, and traveling around the world with his family.

    Ashley Piper
     
    Ashley Piper is a Data Scientist at Covéa Insurance – a UK insurer which is a part of the French mutual insurance group Covéa. His role involves supporting Covéa’s continual adoption of data science, with a particular focus on enhancing the company’s claims and fraud processes. With a background in insurance pricing, Ashley uses his ever-growing technical skills and over 5 years of domain knowledge to develop machine learning models that have the potential to revolutionise how claims are settled and insurance fraud is tackled at Covéa. Ashley holds a BSc in Mathematics with Statistics as well as an MSc in Data Analytics which he recently obtained from the University of Glasgow.
     
     

    Jack Liu
     
    Jack is an open-minded, tech-savvy, professional critical thinker and natural problem solver, plus a passionate golfer. Being the proud winner of the Bupa Global Everyday Hero award in 2018 from Bupa’s Australian health insurance business, Jack stands with his 85,000 Bupa colleagues providing health and care services around the world. As an expert in complex workforce optimisation and business integration, Jack has been a curious adventurer in the world of data. Jack is also a member of SAS Analytics Explorers, a SAS community that is dedicated to exploring analytics, sharing knowledge, having fun and helping SAS users in their careers.
     
     
     

    Insurance Sector innovation in action

    Uncovering the algorithm: Interpreting Complex Machine Learning Models
     
    Tim Chin of State Farm  
     

     
    Tackling fraud and improving claims efficiency
     
    Ashley Piper of Covea
     

    Point & Click Your Way into the Future of Data Science
     
     
    Jack Liu of Bupa Asia Pacific

    For Practitioners
      

    For Young Professionals

    Practitioners

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    Smarter Insurance Investigation Management
     

    Businessman using a computer and digital tablet during a late night at the office

    Fraudsters love digital 
     
     

    Man analyzing data on tablet in office

    Drive Analytic Innovation Through SAS and Open Source Integration

    Young Professionals

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    Analytics Value Training for Insurance – Starts November 17th

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    Insuring customers, insuring growth 
     

    Road Intersection at Night

    5 ways insurance will change by 2025
     

    Empowering Open Integration with SAS Viya series

    The benefits of using multiple analytical technologies for model building, model management and model deployment.

    In this series, data scientists, model engineers and IT-experts will be talking about how Viya, the AI, Analytics and Data Management platform by SAS, enables everyone to collaborate, scale and operationalize all types of open-source analytics everywhere. Marinela Profi Data & Analytics Specialist SAS

    Marinela Profi, Data & Analytics Specialist at SAS explains why it is important to empower open integration.

    WATCH WELCOME VIDEO (5:50 min)

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    SAS repositories on GitHub provide code examples and libraries to collaborate.