Data Science Talent Logo
Call Now


Data Science Magazine Cover - Issue 3
Some of this issue’s contributors include:
  • Crafting an Empowered Demand Forecast by Alec Sproten & Iris Hollick
  • With LLMS, Enterprise Data is Different by Colin Harman
  • Data Science Platforms for Patient-Centered Drug Discovery by Benjamin Glicksberg
  • Could Rust be The Future of AI? by Francesco Gadaleta
  • The Path to Responsible AI by Julia Stoyanovich
  • The Dawn of The Synthetic Data by Philipp M Diesinger
  • The AI Revolution vs the Mobile Revolution by Rex Woodbury
  • Plus many more...

Want to experience the magazine on your preferred reading device and receive the latest issue seven days before launch? Fill in the form below and we’ll send you a PDF version plus relevant content.

Welcome to our Media page. On here, you will find regular information and updates regarding the things that we think that you want to read and hear about in the world of Data Science & AI.

From Data Science Conversations podcast episodes to interviews with some of the world’s leading sector specialists; The Data Scientist magazine to links to our social media pages – and everything in between.


Share this:

What our readers say

Jeannie Fitzgerald

“I recently had a chance to see the latest issue of The Data Scientist Magazine – and it looks beautiful!”

Harald Erb

“I enjoyed reading Rebecca Vickery’s case study in The Data Scientist Magazine on the methodological and technical approach that she and her team at EDF (UK) had chosen”.

Alex Goffe
Keele University

“A great read from The Data Scientist, love that it’s in physical print (and digital). If you’ve not taken a look, it’s well worth exploring”. 

Jeannie Fitzgerald

“It has a lot of great content, including practical case studies, as well as up-to-date and relevant articles and interviews on a range of topics. Will be of interest to students and practitioner data scientists, data engineers, and ML engineers”.

Jacques Conradie
CGI Nederland

“The magazine provides a platform for an eclectic mix of leading Data Scientists and organizations to discuss sector-specific topics that are relevant for today and tomorrow”. 

Take a look at our previous issues…


We explore how the latest research in Data Science & AI could scale into broader industry applications so you can expand your knowledge and grow your career effectively in the real world.

The future of LLMs, ELMs and the semantic layer

Tarush Aggarwal

Data Strategy Evolved: How the Biological Model fuels enterprise data performance

Patrick McQuillan

Mapping forests: Verifying carbon offsetting with machine learning

Heidi Hurst



Evolution of Data Platforms

Read More

Anna Litticks On Automisation

Read More

Data Science City: Amsterdam

Read More
View More Blogs

Download our free guides for expert advice

© Data Science Talent Ltd, 2023. All Rights Reserved.