Springer Nature is an ambitious and dynamic organisation that is home to some of the best known names in research, educational and professional publishing. Working at the heart of a changing industry we are always looking for great people who care about delivering quality to our customers and the communities we work alongside.

Springer Nature United Kingdom
05/04/2019
Full time
Springer Nature is one of the world’s leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 170 years of combined history behind them, providing quality content through a range of innovative products and services. Every day, around the globe, our imprints, books, journals and resources reach millions of people, helping researchers and scientists to discover, students to learn and professionals to achieve their goals and ambitions. The company has almost 13,000 staff in over 50 countries. Data Scientist Permanent contract Springer Nature is seeking a highly motivated Data Scientist for the newly created “analytics centre of excellence” serving the Research division that includes Nature, Springer, BioMed Central and Scientific American. As a Data Scientist, you’ll be analysing big data from very highly trafficed websites and content. You will provide actionable analysis and insight into the behaviour of researchers in both their roles as authors and users of scientific information as well as general trends in the world of research.  Driving change that improves their experience with Spinger Nature and supports our purpose to advance discovery. Role Responsibilities will include:   Gathering, analysing and blending data to produce business and customer insights, and give recommendations on how to further improve Springer Nature’s products, services and platforms Build strong and proactive relationships with relevant business stakeholders and senior management, providing insights and analytics to support in achieving the strategic goals of the business Increase the adoption of data science, standardise analytics tools across the organization, improve data management and reporting, and make data led insight accessible to the business Being an advocate for a data-driven culture, share thought leadership on tools and best practices Introducing compelling data visualizations and interactive dashboards that allow right decision-making in a timely manner Leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI Role Requirements: University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science,Statistics, Mathematics, Econometrics, Physics, Computer Science etc.) Demonstrable experience in cleansing and combining data using software and tools like SQL, Big Query, Python/R,Tableau Statistical and machine learning skills Excellent communication skills with the ability to tell compelling stories from the data Experience in identifying patterns and connecting different pieces of information to deliver unobvious insights, drawing information from diverse and varied sources Excellent analytical problem solving capabilities Well organized and accurate with good time management Good networker, able to build up effective relations with internal business partners To apply please upload a copy of your CV and covering letter, stating your salary expectations. At Springer Nature we value and celebrate the diversity of our people. We recognise the many benefits of a diverse workforce and strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles.