Science to Data Science (S2DS)

S2DS is an intensive, five-week project-based programme connecting your business with emerging data talent. Solve complex business challenges with custom-built IP and data-driven insights, all while supporting the next generation of commercial AI leaders.

Why S2DS?

Discover what's possible before committing your own internal resources.

Analytical Excellence

You are not just getting "coders." You’re gaining access to elite researchers trained to navigate ambiguity and apply rigorous scientific thinking to your most complex business challenges.

Personalised IP within 5 weeks

Unlike standard consulting, our model ensures that every line of code, model architecture, and algorithmic breakthrough created during the project belongs entirely to your organisation.

Proven Results in Weeks, not Years

From chatbots to more complex predictive analytics tools, there’s a wide range of AI applications that will get you to solutions faster than your competition.

Your Trusted Partner

Since 2014, our team has built a foundation of unwavering trust. Our partners don’t just work with us once, they partner with us for the long haul. Experience the confidence that comes with over a decade of AI expertise.

Frequently Asked Questions

When does it run?

We run S2DS three times a year in Spring, Summer & Autumn. The programme is run virtually, ensuring you have access to the brightest talent across the globe.

Why Pivigo?

It is vital to have the right partner; one who’s been there before, with a track record of running successful data science projects for companies of all sizes and maturity.

How do you Decide the Project?

Projects are defined by you, our partner, and guided by Pivigo’s data science expertise. This unique framework solves your complex commercial challenges and enables AI exploration without exhausting your internal resources.

Who Works on my Project?

We carefully screen elite MSc and PhD talent from a global pool tri-annually to ensure you have the best data talent working with you.

Who have you Partnered with?

Organisations such as KPMG, Barclays, M&S, British Gas, Investec, Department for Education, and Royal Mail have successfully built their data science and analytical teams through the programme.

Data Science Talent

Work with the best and brightest Data Scientists to add immediate value to your organisation.

Hire Pivigo's S2DS Alumni on a 3 to 6-month
engagement, or permanently; whichever makes most sense for your business.

S2DS equips top academics with the latest skills in data science and analytics through 'real-world' company projects, supporting them to seamlessly transition into commercial roles.

What Our Partners Say

"We were very pleased with how fast our team caught up with the challenge and started working on it. Our Machine Learning infrastructure got an important push in just five weeks."

Detektia

"We have been able to learn a lot from our collaboration with three different S2DS cohorts with help from their very well-supported bootcamps. In addition to good content-related work, S2DS helps us to bring together both scientific requirements and knowledge for the greater benefit of all."

Alexandra Dolff, Head of Market and Audience Insights,

Deutsche Welle

"We partnered with Pivigo's S2DS to build a new analytical model for our product. We were very impressed with our team; their practicality and commercial thinking. S2DS is a great programme, well run and beneficial not only for the data scientists but for the participating businesses as well."

Agata Boczkowska, COO, Rais

"The result has given us a greater understanding of how our customers choose from our recipes, increased our spend per customer and will help us to forecast more accurately."

Robert Grieg-Gran, Co-founder and COO, Mindful Chef

"The Data Science team at Veson Nautical was delighted to partner again with Pivigo for the S2DS Autumn 2023 bootcamp. We enjoyed working with a team of motivated scientists, mentored expertly by Julie Ripplinger and Elis Ortiz, who tackled our “Emission Impossible” project with skill and enthusiasm. Discussions were always at a high scientific level, with clarity of thought, planning, and execution. We did not expect the team to beat our incumbent carbon emissions estimation model in five weeks, but they came very close and demonstrated the applicability of new techniques to the problem. This opens new possibilities for Veson Nautical to generate insights from cargo vessel movements that will support global maritime trade."

Dr Alex Adamou, Vice President, Data Science & Analytics

Veson Nautical