RSS Data Science and AI Section
www.datasciencesection.orgThe Data Science and AI Section of the Royal Statistical Society was established in 2017, as a professional body that represents data scientists in the UK. The section sets out to address emerging topics that will impact the long term success of data science as a profession. In 2019, the section will work towards this goal via these activities: - Support technically-skilled data scientists by increasing their public profile and providing a mentorship network. - Run a series of events with UK data science leaders, disseminating guidance and exemplars of best practice. - Social events and hackathons. The section committee includes representatives from business, industry, government and academia. The current committee can be found on the RSS website. Contact the committee on datasciencesection@googlegroups.com
Read moreThe Data Science and AI Section of the Royal Statistical Society was established in 2017, as a professional body that represents data scientists in the UK. The section sets out to address emerging topics that will impact the long term success of data science as a profession. In 2019, the section will work towards this goal via these activities: - Support technically-skilled data scientists by increasing their public profile and providing a mentorship network. - Run a series of events with UK data science leaders, disseminating guidance and exemplars of best practice. - Social events and hackathons. The section committee includes representatives from business, industry, government and academia. The current committee can be found on the RSS website. Contact the committee on datasciencesection@googlegroups.com
Read moreCountry
City (Headquarters)
London
Industry
Employees
11-50
Founded
2017
Social
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Committee Member
Email ****** @****.comPhone (***) ****-****Committee Member - Data Science Section
Email ****** @****.comPhone (***) ****-****Royal Statistical Society Data Science and Ai Committee
Email ****** @****.comPhone (***) ****-****Committee Member - Data Science Section
Email ****** @****.comPhone (***) ****-****