Powerhouse Women of Data: Driving Decisions, Delivering Impact

PLEASE NOTE: Clicking 'attend' does not register you for the event. You will need to register for the event on the link provided below to receive a QR code ticket via email. If you do not have a QR code, you will not be able to attend the event.

Sign up here!

Join us in London for our next in-person meet-up in partnership with Deliveroo on Wednesday 4th June 2025. A free evening of tech talks, a chance to network with the community with refreshments and food provided.

📆 Date: Wednesday 4th June 2025
⏰ Time: 6:00 pm - 9:00 pm BST
🗣️ Title: Powerhouse Women of Data: Driving Decisions, Delivering Impact

Join us on June 4th at Deliveroo’s buzzing London headquarters for an evening packed with insight, inspiration, and real-world applications of data science at scale. In this exclusive in-person event, four powerhouse speakers from Deliveroo and across the wider industry will lift the lid on how science is driving decision-making, experimentation, and impact.

From cutting-edge machine learning to the complex realities of fraud prevention and experimentation at scale, this is a behind-the-scenes look at how data science is solving today’s toughest challenges – and shaping tomorrow’s opportunities.

Hosted by the brilliant team at Deliveroo, you’ll hear short, fast-paced talks, network with fellow data practitioners, and leave energised with fresh ideas and inspiration.

Due to the popularity of this event and limited space, tickets are allocated via a ballot. Applying for a ticket does not guarantee entry. Be sure to apply for your chance to attend! Tickets will be issued throughout May. If you have not received a ticket by 30 May, unfortunately, you have not been successful.

The Line-up

Ella Johnson-Watts – Staff Data Scientist, Deliveroo
Session: High-quality experimentation at Deliveroo: The vision, implementation and reflection

Over the last decade, Deliveroo has built a culture of running high-quality experiments. This talk reflects on Deliveroo’s experimentation journey, from the initial vision to what we have achieved so far with some key lessons for low-cost democratised experimentation at-scale.

Susan Blaszczak – Staff Data Scientist, Deliveroo
Session: Fraud Prevention at Deliveroo – the role of Science and key challenges.

Fraud prevention is a significant challenge for a platform like Deliveroo and this talk is all about how data science can help. I’ll talk about some of the key fraudulent behaviours we try to tackle and dive into the tricky parts – balancing stringent fraud prevention measures with a seamless user experience and the inherent difficulty in establishing ground truth for fraudulent behaviours.

Dr Dimitra (Mimie) Liotsiou – Senior Research Data Scientist, dunnhumby
Session: Causal inference at dunnhumby: how we are applying causal methods in retail data science, key tips and learnings.

It is well known in data science that ‘correlation is not causation’. However, standard data science and machine learning methods are about correlation, not causation. Therefore, to answer questions about cause and effect (e.g. about measuring impacts, uplift, or about why a KPI moved), which are central to many data science projects across sectors, a new, causal, approach is needed, of which the standard data science methods are just one part. In this talk, I will show how we are using the new science of graphical causal inference at dunnhumby to answer cause and effect questions in retail, and I will share key tips and learnings.

Lydia Monnington – Data Science Lead, Google Deepmind
Session: Advanced SQL – top tips for dealing with real world data

Level up your SQL knowledge to deliver results in real world situations.
I’ll cover:

• Window functions, what makes them great and an example of how to use them to create sessions.
• Arrays, why data engineers use them and how to access data stored in them easily.

Schedule:
6:00 PM – Doors open – networking, food and drinks served
6:45 PM – Intro by our event host, David Loughlan
6:50 PM – 2 x 15 minute talk sessions, with 5 minute Q&A per session
7:30 PM – Short comfort break
7:40 PM – 2 x 15 minute talk sessions, with 5 minute Q&A per session
8:20 PM – Drinks and networking
9:00 PM – Close

Food and drinks are included.

Sign up for this event here!

PLEASE NOTE: Clicking 'attend' does not register you for the event. You will need to register for the event on the link provided below to receive a QR code ticket via email. If you do not have a QR code, you will not be able to attend the event.