Tailored and recommended goals across the many areas of data science

A curated list of the best publicly available resources

A range of challenges to verify your new and existing skills

Soft-skill challenges to succeed in the industry

Find and apply to permanent and freelance opportunities

A Pivigo profile to showcase your growing skill set

Apply for data science freelance jobs

Register and apply to our freelance data science projects, get paid and build experience for your career

Test your data science skills

Test your skill as a data scientist with our challenges on our Knowledge Galaxy

Access to the best data science resources

Register to access a library of data science resources. From books, blogs and podcasts, you will be sure to find what you need.

s2ds logo

At Pivigo, we aim to facilitate and support PhDs' and MScs' transition from academia to industry. Run by Pivigo, the Science to Data Science (S2DS) programme provides participants with experience solving data science problems, providing them with the commercial skills needed in business.

Our S2DS programmes take place three times throughout the year; March Virtual, Summer London, October Virtual. Across both programmes there are three important elements; theoretical learning, practical learning and professional development.

Largest Data Science boot camp in Europe

Five-week programme, at our London campus or online via our Virtual campus

Take on a real data science problem, developed with one of our partner companies

Work with large multinationals, charities, SME’s, and exciting start-ups

Gain practical experience with data science technologies and technical skills in a commercial environment

Work with brands such as Barclays, Google Cloud, Royal Mail, KPMG and many more

Join a network of over 400 S2DS fellows and become a data scientist.

Questions ?

If you have any questions whatsoever about data science, how to best get into data science, transition from academia or another career or work as a data science freelancer, let us know.

Become part of the worlds largest community of data scientists