Data Scientist - IT/Online

Years of Experience: 7+ years, Relevant experience: 7+ years

Educational Qualification:

University degree with a strong analytical /quantitative background or equivalent experience (e.g. Data Science,Statistics, Mathematics, Econometrics, Physics, Computer Science etc.)

Role requirements:

- Strong working knowledge of Python

- Excellent analytical problem solving capabilities

- Ability to visualize and tell stories from data

- Demonstrable experience with AI, NLP and ML, preferably also statistics and coding

- Well organized and accurate with good time management, able to work independently as well as in strong dynamic teams

Responsibilities will include:

- Build machine learning models and conduct data analysis that support Springer Nature and its customers to advance discovery

- Implement and innovate cutting edge AI and data-science solutions in partnership with the wider team, sift through plenty of scientific texts and data permanently looking for the insights that help our business to move the needle

- Work in a fail-fast PoC driven environment with plenty of opportunities to move successful prototypes towards production

- Consult with stakeholders throughout the business and the Data Capability Centre

- Collaborate with other data scientists and experts as well as product-development teams on different scientific domains

- Communicate and stand in for your work and achievements, influence decisions and technologies