Alliance for
Data Science
Professionals

The Alliance brings together leading professional bodies to define, uphold and advance standards across the data science and AI profession. We have developed certifications for Data Science Professionals that embody the standards needed to ensure ethical, responsible and well-governed practice. Our aim is simple: to give the public, organisations and governments confidence in how data is used.

View Our StandardsExplore the Certification Pathway
AfDSP Award Ceremony Recipients.
  • Institute of Mathematics and its Applications
  • National Physical Laboratory
  • Royal Statistical Society
  • Operational Research Society
  • The Alan Turing Institute
  • BCS, The Chartered Institute for IT
  • American Statistical Association
  • The Royal Society
  • The Royal Academy of Engineering
  • Academy for the Mathematical Sciences

The need for Professionalisation.

The need for professionalisation has never been clearer. As the role of data and AI expands across society, so too do the risks associated with poor practice, ranging from data breaches and flawed modelling to bias in automated decision-making. High-profile failures have highlighted the consequences of inadequate oversight and the importance of professional competence, accountability and ethics.

Workflow illustration

We are committed to...

  • Defining the standards of professional competence and behaviour expected of people who work with data which impacts lives and livelihoods. These currently include data scientists, data engineers, data analysts and data stewards.
  • Delivering these standards as data science certifications offered by the Alliance members to their professional members, with processes to hold certified members accountable for their professional status.
  • Using these standards for Alliance members to accredit data science degrees, and data science modules of associated degrees, as contributing to certification.
BCS and Royal Society