London Women in Machine Learning & Data Science

 
 
 

WiMLDS is very excited to partner with Deloitte and talk about the fast-moving landscape of AI, ethics, and innovation.

Deloitte UK is a leading professional services firm – one of the largest in the UK and part of a global network spanning 150 countries and territories. We’re made up of 20,000 professionals, with a wide range of specialist skills, who our clients rely on to help them with programmes and projects that are critical to their success. Whether it’s digital transformation expertise, sustainability know how, cyber skills or financial advice, we help clients in the public, private and third sectors meet challenges big and small. We might be best known for the audit services our firm was founded on 175 years ago, but alongside these we offer so much more - take a look at our Annual Report.

Link to opportunities here: https://www2.deloitte.com/uk/en/pages/careers/home.html

Agenda:
18.00 : 18.30 - Networking
18.30 : 19.00 - Lightning Talks with Deloitte

1. Reny Vargis-Cheriyan, TrueVoice - AI designed to enhance overall customer experience
2. Suchitra Nair, The AI regulatory landscape
3. Michelle Seng Ah Lee, Trustworthy AI (interactive towards the end)

19.30 : 20.00 - Networking

About our speakers:

Reny Vargis-Cheriyan
Reny is a Deloitte Partner leading the UK Insurance AI business, driving and embedding the use of AI, data and intelligent automation across front lines, operations, compliance, and regulations. She works with various major cloud providers and AI based solutions to partner and deliver the new next generation of services.

Suchitra Nair
Suchitra is a Partner in the EMEA Centre for Regulatory Strategy, helping our clients and colleagues to navigate the evolving regulatory position on innovation in financial services. Her work focuses on a range of topics including digitisation, AI, cryptoassets, payment innovation, and how regulators are themselves innovating.

Michelle Seng Ah Lee
Michelle is a Senior Manager leading our AI offerings in Risk Analytics team for financial services clients, specialising in the governance of AI risks in industry and fairness in machine learning. She has also led and implemented a number of technical projects to build proprietary AI solutions for risk management. She is currently completing her PhD in Computer Science at University of Cambridge with a focus on algorithmic fairness in machine learning systems.

 
 
 

WiMLDS is very excited to meet with Natwest in to bring some insight into the world of MLOps in finance! Join us for an engaging evening with amazing women.

NatWest Group is a relationship bank for a digital world. They champion potential; breaking down barriers and building financial confidence so the 19 million people, families and businesses they serve in communities throughout the UK and Ireland can rebuild and thrive. They believe, 'If our customers succeed, so will we.'

Agenda:
18.00 Networking
18.30 Enterprise Scale ​MLOps at NatWest​: The Journey So far
19:00 Short break
19.10 MLOps case study: Customer Lifetime Value
19:40 Networking

About our speakers and their talks:

Dr Ariadna Blanca Romero, Enterprise Scale ​MLOps at NatWest​: The Journey So far
Ariadna Blanca Romero is a Data Scientist/ML Engineer at NatWest with a PhD in Physics with expertise in computational material science. She is passionate about creating tools for automation that take advantage of the reproducibility of results from models and optimise the process to ensure prompt decision-making to deliver the best customer experience.

Ariadna will take us on Natwest Group's journey towards building a new MLOps platform that streamlines the entire machine learning lifecycle. This platform aims to boost team productivity, reduce manual workflows for building, training, and deploying models, maintain high model
accuracy, and enhance security and compliance.

Dr Clare Watts, MLOps case study: Customer Lifetime Value
Clare Watts is a Data Scientist at NatWest with a PhD in Materials Science. She moved into the field after discovering coding and data science through using MatLab for signal processing and machine control and has been working as a Data Scientist in the Wealth Data and Analytics department for almost two years.

Clare will walk through a use-case currently being migrated to the new MLOps platform in Natwest. The complex ensemble model uses a suite of estimators to predict Customer Lifetime Value as well as propensity to take up certain products. The modelling approach, as well as a brief overview of some of the codebase changes required to migrate to the new platform will be discussed.

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