Job Information
RELX INC Senior NLP Data Scientist in Amsterdam, Netherlands
Sr NLP Data Scientist
Can you translate Elsevier's vision into Data Science driven products and services?
Do you want to help us build further data science capabilities?
About the Business
At Elsevier, we help the world of research to make high-value decisions with confidence through a rich portfolio of services and products such as Scopus, Pure, and SciVal. The high-quality connected data and insights that these products provide come from our Research Data Platform (RDP), the data powerhouse of Elsevier’s analytics business. We are looking for a senior NLP data scientist to join our RDP team and further advance our information extraction and entity linking capabilities.
About our Team
In RDP, we are describing the world of scientific research as accurately as possible by profiling a wide range of entities, from People and Organizations to research artefacts such as Publications and Grants all the way to topics and concepts that characterize what research is about. Our entity-linking and disambiguation systems integrate data from a diverse set of sources that include millions of research articles to demonstrate market leading performance. The RDP team is large, full of talented people, and highly cross-functional and collaborative: As a data scientist, you will be working together with software engineers, analysts, product managers, and architects on your area of focus, and also be part of the wider RDP Data Science team.
About the Role
As a Senior NLP Data Scientist you will be improving existing and developing novel state-of-the-art concept annotation and classification capabilities for scientific text, to power Elsevier’s products. With data quality being vital to Elsevier’s success, there is a strong focus on measuring and improving data quality and coverage. At the same time, the increasingly large volumes of data involved requires you to maintain and develop systems and models that scale well.
Responsibilities
Working alongside Data Scientists supporting their work to create, develop and build data to perform data transformations.
Acting as a recognized expert in data science, championing best practice
Working with the team to extract, prepare and validate data as required.
communicating adequately and effectively with colleagues and stakeholders to ensure the best outcome.
Requirements
A positive and constructive mind-set, with an emphasis on collaboration.
Experience to independently prepare, plan, and successfully deliver complete data science projects, by working with others and interacting with all stakeholders involved.
Not afraid to challenge the status quo when necessary, and at the same time respect the opinions of others in your team.
Willing to learn new things and come up with practical solutions to technical challenges.
A formal qualification at least at MSc level in computer science, computational linguistics, AI, machine learning, or equivalent.
Solid hands-on experience with developing scalable data science solutions
Demonstrable coding skills in Java, Scala, or Python.
Knowledge of applying machine learning techniques.
Experience with natural language processing, preferably involving text mining.
Experience with databases (SQL, NoSQL data stores, etc.)
Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
- Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:- Dutch Share Purchase Plan- Annual Profit Share Bonus- Comprehensive Pension Plan- Home, office or commuting allowance- Generous vacation entitlement and option for sabbatical leave- Maternity, Paternity, Adoption and Family Care leave- Flexible working hours- Personal Choice budget- Variety of online training courses and career roadshows- Wellbeing programs and gym facility in the office- Internal communities and networks- Various employee discounts- Recruitment introduction reward- Work from anywhere- Employee Assistance Program (global)- Annual Event
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.
Please read our Candidate Privacy Policy (https://www.relx.com/careers/join-us/privacy) .
RELX is a global provider of information and analytics for professional and business customers across industries.
We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients.
In short, we enable our customers to make better decisions, get better results and be more productive.