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lydia monnington

Data Science Lead · Google Deepmind

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Craig Pennington

CTO · Montera Infrastructure

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Activities & events

Title & Speakers Event
Event Powerhouse Women of Data: Driving Decisions, Delivering Impact 2025-06-04
Causal inference at dunnhumby: how we are applying causal methods in retail data science, key tips and learnings. 2025-06-04 · 17:00
dr dimitra mimie liotsiou – Senior Research Data Scientist @ dunnhumby

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.

causal inference graphical causal inference retail data science
High-quality experimentation at Deliveroo: The vision, implementation and reflection 2025-06-04 · 17:00
ella johnson watts – Staff Data Scientist @ Deliveroo

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.

experimentation a/b testing Data Science
Advanced SQL – top tips for dealing with real world data 2025-06-04 · 17:00
lydia monnington – Data Science Lead @ Google Deepmind

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.
SQL window functions arrays
Fraud Prevention at Deliveroo – the role of Science and key challenges. 2025-06-04 · 17:00
susan blaszczak – Staff Data Scientist @ Deliveroo

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.

fraud prevention Cyber Security machine learning
Meetup #11 2024-11-27 · 18:00

Hello everyone! Thanks to all who turned out for the last meet up which was absolutely HUGE. I hope you all enjoyed the talks, I certainly did. For the next event we have another stellar line up for you all to enjoy! 25-30 minute talks followed by an open Q&A. Drinks, networking and of course tons of pizza.. Look forward to seeing you all then!

Lydia Monnington \| Analytics Leader Advanced SQL: top tips for dealing with real world data

Level up your SQL knowledge to deliver results in real world situations.

  • Joining on messy data, what can go wrong and how to avoid it.
  • 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.

About me In her role as Head of Analytics at Stuart Lydia identified the most important challenges for Stuart’s business and designed data driven solutions for them. Past projects include identifying the drivers of delivery costs and recommending cities for the business to expand into.

Lydia believes that charities should have access to the same data driven insights as businesses. Lydia is a director of the Stemettes, who inspire and support girls, young women and non-binary young people in STEM and is on the Scoping Committee for DataKind who help charities, local government, and social enterprises to use data science.

Having graduated with a 1st in Maths from Oxford University, Lydia has held data and analytics roles at Ocado, GHGSat, and Meta (Facebook). In these roles Lydia has designed and implemented experimentation processes, forecast company growth, planned a warehouse, defined customer segmentations, identified issues in stock control processes to reduce missing items by two thirds, and built a product from scratch, project managing and leading the data work.

Reyam Enad \| Lead Data Scientist @ EDF Energy Data Done Right: Essential Best Practice in Data Science

I'll be sharing our journey in restructuring the team and establishing technical best practices to ensure flawless project delivery. This process has been about refining our approach, aligning skills with goals, and implementing standards that drive quality and consistency across our work. Through these efforts, we're not only enhancing our productivity but also setting the stage for continuous improvement and excellence in every delivery.

About me As a Lead Data Scientist in the nuclear energy sector, I am committed to harnessing advanced data science and AI to drive meaningful innovation in a critical industry. With a Master’s in Artificial Intelligence and a background that includes practical experience in software engineering, I bring a well-rounded technical perspective to my work, from developing predictive models to exploring advanced machine learning algorithms. I lead a team of data scientists with a particular focus on Natural Language Processing (NLP) and Generative AI, where keeping up to date with rapid advancements in these technologies is essential to our success.

Beyond my professional work, I am passionate about championing diversity and inclusion within the tech sector. As a leader in partnerships for Women in Data, I work to broaden opportunities for women in the field, creating pathways to build skills, confidence, and careers in data science.

Please aim to arrive at 6pm. The talks will start around 6.30pm (give or take a few mins) and there will be pizza and refreshments as always on arrival :)

Look forward to seeing you all soon!

 Meetup #11
London Analytics Meetup #6 2023-11-29 · 18:00

London Analytics Meetup #6 at Jefferson Frank's office in the City of London near Monument!

Please bring some ID.

Please register with first and last name so that we can match to the guest list on the day.

Please fill in this form so we can continue to keep this Meetup and it's topics relevant to you! Don't worry if you filled it last time.

Please unRSVP if you find you can't make it nearer the time.

We'll have some food and drink courtesy of Jefferson Frank, who are our gracious hosts!

Talks:

Jon Su - Data & Analytics Lead @ XPON Tech - “Using First-Party Customer Data for Marketing Analytics on Google Cloud”

Gaurav Tiwari - Engineering Manager @ Spotify - "Empowerment through Data: The Evolution and Future of Self-Service Analytics"

Lydia Monnington - Head of Analytics @ Stuart - "Embedded, Centralised or Hybrid: Where should analytics sit within an organisation to be most effective"

 London Analytics Meetup #6
Showing 6 results