Economist

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Date: Jul 22, 2022

Location: London, GB Heidelberg, DE

Company: Springer Nature Group

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Springer Nature is seeking an Economist for its highly-regarded Data and Analytics Solutions group. The group develops new data products that aim to transform science as well as meeting the needs of Springer Nature’s Research division which includes Nature, Springer, BioMedCentral and Scientific American.  This is an exciting opportunity as the team is expanding from strong foundations into new solutions, and we are looking for someone who is able to develop economic insight and models of research impact, with support from the wider team where necessary.

 

As an Economist, you will be drawing on the most cutting-edge methods in behavioural economics, econometrics, psychology and data science to deliver insights and solutions on how science drives economic and societal impact.  You’ll be able to think broadly about how science impacts the world, going beyond historical measures, and developing new frameworks and models that support Springer Nature and its customers in delivering impact from science.  Your solutions will deliver insights to our customers through consulting services and data products, as well as supporting the wider Springer Nature group in research publishing activities.

You will be working in close partnership with data analysts, data scientists and data engineers, as well as other colleagues from Springer Nature and our technology partners including Google. You will have opportunities to work with the latest data and analytics technologies and some of the most interesting and rich data available.  

 

Role responsibilities will include:

 

  • Gathering, analysing and blending data to produce business and economic insights, and give recommendations on how to further improve sciences impact to Springer Nature and its customers
  • Developing models of how science drives economic and societal benefit
  • 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 economics across Springer Nature and develop new approaches for its customers to understand and leverage economic insights
  • 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

 

Role requirements:

 

  • Strong academic background and a Masters level qualification in behavioural economics, behavioural science, experimental economics, applied psychology, social data science or a related discipline from a leading university
  • Ability to extract, cleanse and combine data and make sense of it using software and tools like SQL, Big Query, Python/R, Looker 
  • Strong statistical and econometric skills
  • Excellent communication skills with the ability to tell compelling stories from the data
  • Strong ability to influence, with highly effective negotiation and presentation skills
  • 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 coupled with business acumen
  • Well organized and accurate with good time management
  • Good networker, able to build up effective relations with internal business partners

If you are an internal candidate please inform your line manager of your application.

Interested in hearing more about UK early career opportunities?  Why not follow our early careers page on Hive to find out more: https://hive.springernature.com/groups/uk-early-careers

 

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.