Barnett Waddingham, the UK’s largest independent provider of actuarial, administration and consultancy services, welcomes its new Head of Data Science to widen its expertise in line with the changing expectations of its clients. |
Filip Deryckere joins Barnett Waddingham to enhance data science capability and support expansion into diverse market areas. He will deliver operational solutions based on machine learning, information retrieval and other data science related approaches. Filip has more than 20 years’ experience in the insurance industry and has an extensive actuarial background, having previously led the roll-out of the European Solvency II directive in the general insurance division of a European insurer. He has 5 years’ experience in data science and has a profound statistical background. Filip Deryckere, Head of Data Science at Barnett Waddingham, said: “The uses for data science in businesses are manifold and it is an exhilarating time for companies able to harness this. Barnett Waddingham’s large and diverse set of services allows us to go further for our clients, we aim to continuously enhance our offering in the area of data visualisation, machine learning and practical applications based on data science, to the benefit of our clients.” Sam Meldrum, Partner and Head of I.T at Barnett Waddingham, said: “Filip joins Barnett Waddingham at an exciting time the firm. We are experiencing strong growth in our traditional areas of expertise and at the same time expanding our capabilities into new areas. One of these areas is helping our corporate clients with data science opportunities. We believe that most companies will need help with the application of data analytics and machine learning in order to create and maintain competitive advantages in the future and at Barnett Waddingham we are well placed to help.
“As Head of Data Science, Filip brings a wealth of experience and knowledge that will enhance our data science capabilities. Filip has a background in actuarial science, insurance and software engineering as well as expertise in machine learning and data science.” |
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