PyData London 2026

Overview

PyData London 2026 is a three day, in person data science conference held at Convene Sancroft in London, attracting the international data science and engineering community. The event runs from Friday June 5 through Sunday June 7, 2026, and is designed for practitioners across the data stack including data scientists, data engineers, and developers of data analysis tools. Attendees will experience a curated program of keynote talks, technical sessions, and contributor-led discussions, with opportunities to connect with peers and the broader PyData ecosystem. The event emphasizes practical learning, open source practice, and building in collaboration with the wider data community. The venue is Convene Sancroft, located in Rose Street in London, with easy access to central transport links and nearby amenities.

Agenda

The conference combines a rich slate of sessions spanning core data topics, tooling, and software engineering practices. Expect live keynote sessions, technical talks, lightning talks, and structured tracks focused on data science, data engineering, and tooling for data analysis. The page confirms a multifaceted program including speaker presentations, panel-like explorations, and developer-focused content. There will be opportunities to learn from practitioners who are actively building and deploying data tooling in real-world environments, including speakers who are leaders in open source software and data infrastructure.

Speakers

PyData London 2026 features a lineup of notable speakers who are influential in the data community. The page includes profiles and bios for several leaders:

• Samuel Colvin, founder of Pydantic Inc, known for the Pydantic library and developer-oriented observability projects. His session highlights the impact of Python data validation and typing at scale.
• Samuel Colvin (alternate bio entry) is referenced as a contributor with emphasis on web standards, open source, and developer education.
• Martin O'Reilly, Director of Research Engineering at the Alan Turing Institute, focuses on bridging research and practice through research engineering, reproducibility, and scalable software for data science.
• Jeremiah Lowin, founder and CEO of Prefect, discusses orchestration for data workflows, Model Context Protocol, and the evolving data automation landscape.
• Additional talks cover topics around data systems, AI tooling, and research software engineering with contributions from industry and academia.

Venue and Attendance

This in person event is hosted at Convene Sancroft, St. Pauls, London, United Kingdom. The program emphasizes hands-on talks and opportunities for networking within the PyData community. The event is designed for attendees who want to learn from real-world data workflows, share best practices, and connect with peers in the data science and data engineering spaces.

Format and FAQs

The schedule includes keynote sessions, talks, lightning talks, and structured tracks. It aims to foster an inclusive, community-driven environment with a focus on practical knowledge and collaborative learning. The page indicates an in-person format, with sessions designed to be accessible to a broad audience across Python, data tooling, and data infrastructure disciplines. For attendees seeking more information, the event provides a schedule and contact options via the PyData London 2026 site.

Who should attend

The conference is ideal for data scientists, data engineers, developers of data analysis tools, open source contributors, and builders who want to deepen their understanding of data engineering practices, tooling, and research software development. It is especially relevant for those involved with Python based data workflows and the broader PyData ecosystem.

FAQs

Key logistical details such as dates, venue, and format are provided on the page. Attendees should check the official schedule for the latest speaker lineup and session details, and review travel information and venue guidance on the PyData London site.