Join us for our Data Science in Finance meetup to hear talks, gain insight, and network with fellow data scientists! Hosted by Microsoft UK, this meet-up, organised jointly by Pivigo and Dataiku, will explore the application of data science to finance and discuss some exciting new use cases.
How to Predict Lending Delinquency.
Alexandre Hubert, Data Scientist at Dataiku
Insurance and banking business have always relied on limiting risk. Today, the increase of customer data and advances in algorithms take this to a whole new level. Join us in this in-depth speech on how Analytics can bring risk scoring to the next level.
Predictive Models for the Insurance Market
Liam Collins-McIntyre, S2DS Fellow
Is it possible to make predictive models based on historic customer data? Can we segment insurance customers? Can we predict which customers will renew, cancel, or buy add-ons? This talk will detail a consulting project delivered to Close Brothers Premium Finance as part of the 2016 S2DS Data Science bootcamp.
Logistics: This meetup will be hosted by Microsoft UK at their London offices in Paddington. Doors at 5.30pm, with talks beginning at 6.30pm. Follow @PivigoHub (http://www.twitter.com/PivigoHub) and @dataiku (http://www.twitter.com/dataiku) for updates!
Dataiku develops the most productive Predictive Services Development Platform for data professionals. This all-in-one platform, Dataiku Data Science Studio (DSS), integrates all the capabilities required to build end-to-end services that turn raw data into business impacting predictions quickly. DSS integrates standard big data and ML technologies that users can transparently appropriate enabling them to quickly design and achieve their business goals.
Pivigo, the data science hub, brings businesses and scientists together to harness the value and opportunity in data. Pivigo bridges the gap between the two fields with S2DS, a bespoke data science training programme, the largest in Europe. Since Pivigo’s launch, we have worked with over 70 organisations and helped 300 scientist move into the data science field.