Name of organisation:
Ageas Insurance Ltd
Brief description of organisation (including relevant websites):
Ageas is an international insurance group, with key markets in Europe and Asia. In the UK, offering Personal and Commercial insurance solutions, by way of brokers, affinity partners and own direct brands; insuring approx. seven million customers.
Title of Abstract:
Ageas have recently invested heavily in a big data platform to support significantly large volumes of real time quote data which has been previously unavailable to our business. Ageas are currently exploring multiple advanced analytics use cases around fraud risk, pricing optimization and anomaly detection and feedback, to contribute to improving our overall commercial performance.
It is with this in mind that we will be running multiple initiatives over the next 12 months to start gaining significant insight in these areas.
Proposed start date in 2018 (approximate and/or flexible):
Approx. June 2018
Skills and experience the student will obtain during placement:
Insurance industry knowledge,
Commercial pricing experience,
Agile project (SCRUM) participation,
Exposure to a variety of toolsets within the enterprise data hub (Spark, Kafka, Flume, SAS, Python (Jupyter)).
Proposed end date of placement in 2018 (approximate and/or flexible):
Approx. September 2018