Data Science Talent Logo
Call Now

THE DATA SCIENTIST MAGAZINE SUBSCRIBE FOR FREE NOW

Data Science Magazine Cover - Issue 3
Some of this issue’s contributors include:
  • Artificial Intelligence for Artificial Languages by Francesco Gadaleta from Amethix Technologies
  • Enhanced Aspects of Fraud Protection by Iaroslav Polianskii from Wise
  • Why Generative AI Projects Fail by Colin Harman from Nesh
  • Challenges and Opportunities in Clinical Trial Registry Data by Philipp Diesinger from Rewire
  • Essential Soft Skills for Data Scientists by Sandro Saitta from viadata
  • Data Quality in Relation To Algorithmic Bias by Gareth Hagger-Johnson from The Nottingham
  • Enhanced Large Language Models as Reasoning Engines by Anthony Alcaraz from Fribl

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.

READ OUR CURRENT ISSUE

Share this:

What our readers say

Jeannie Fitzgerald
Dell

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

Harald Erb
Snowflake

“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
Dell

“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…

Data Scientist magazine

Issue 1

November, 2022 Data Scientist magazine

Issue 2

February, 2023 Data Scientist magazine

Issue 3

May, 2023 Data Scientist magazine

Issue 4

September, 2023 Data Scientist magazine

Issue 5

November, 2023 Data Scientist magazine

Issue 6

February 2024

Podcasts

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.

Kirk Marple

Enhancing GenAI with Knowledge Graphs: A Deep Dive with Kirk Marple

Kirk Marple

Using Open Source LLMs in Language for Grammatical Error Correction (GEC)

Bartmoss St Clair

The Path to Responsible AI with Julia Stoyanovich of NYU

Julia Stoyanovich, NYU
View all podcasts

Blog

featured-image

Rise of the Data Generalist: Smaller Teams, Bigger Impact By Tarush Aggarwal

Read More
featured-image

Ethical and Sustainable Data By Sarah-Jane Smyth & Jasmine Grimsley

Read More
featured-image

AI at Continental By Filipa Castro

Read More
View More Blogs

Download our free guides for expert advice

Download
Download
Download
© Data Science Talent Ltd, 2024. All Rights Reserved.