Join the community
Whether it is enabling innovation, optimising pricing structures, reducing risk factors, improving operational efficiencies, or helping prevent medical conditions, data scientists can work on many different projects, gaining vital experience to build their careers.
By registering with Pivigo, you will gain access to resources to brush up your data science knowledge, challenge to test your skills, freelance data science job opportunities and much more.
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.
At Pivigo, we aim to facilitate and support PhD’s and MSc’s 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.
