Alliance for Data Science Professionals

We are defining the standards needed to ensure an ethical and well-governed approach so the public, organisations and governments can have confidence in how their data is used.

With Support From

The need for Professionalisation.

While the skills of data scientists are increasingly in demand, there is currently no professional framework for those working in the field. These new industry-wide standards, which will be finalised by the Autumn, look to address current issues, such as data breaches, the misuse of data in modelling and bias in artificial intelligence. They can give people confidence that their data is being used ethically, stored safely and analysed robustly.

Since convening, the Alliance has worked with volunteers and stakeholders to develop draft standards for individuals, standards for universities seeking accreditation of their courses and a certification process that will enable both individuals and education providers to gain recognition based on skills and knowledge within data science.

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 include data scientists, data engineers, data analysts and data stewards.
  • Using an open-source process to maintain and update the standards.
  • 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 in this area.
  • Using these standards as criteria for Alliance members to accredit data science degrees, and data science modules of associated degrees, as contributing to certification.
  • Creating a single searchable public register of certified data science professionals.
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