I joined Santander UK in 2017 as head of the data science to build the advanced analytics practice. During the last couple of years, I have built a team of over 25 members, focusing on the implementation of advanced analytics solutions to increase the value we offer to our customers, reduce costs and increase efficiencies.
Prior to that, I worked at PwC from 2004, both in Spain and UK, where I led one of the most advanced analytics teams in the financial services sector, implementing analytics and machine learning solutions for UK and European clients and regulators.
The creation of the data science capability and platform for Santander UK, which is now over 25 members and a community over 150 employees and delivers machine learning initiatives across the organisation.
One of my role models is David Hayes, former CDO Santander UK.
During 2019, I have seen a major progress in the data science industry. Data science started to become a key capability in organisations rather than just a buzzword or a hot topic, and even the regulator has started to understand how it is being used in the industry. A good example of that is the machine learning survey conducted by the BoE and the speeches and articles published on its website recommending governance procedures around ML initiatives.
I expect this year we will see the continued expansion of machine learning, not just for large corporations, but also for smaller organisations. I would also expect this to be the year when customers start to feel the advantages of machine learning in a larger scale.
The biggest opportunities are cost reduction though process automation, better engagement with customers through understanding their needs and trends and increase oversight in risk management.
The biggest challenges we face are the limitations in accessing data due legacy systems, data quality and the integration of machine learning models into existing business processes.