Senior data scientist nlp

As a senior data scientist, you will join RDP's Concept Domain a cross-functional team focused on accurately identifying key terminology and topics discussed in academic research. Your responsibilities include the improvement of existing systems and the development of novel state-of-the-art concept annotation and classification capabilities to power Elsevier's products. Importantly, as data quality is vital to the success of our products, there is a strong focus on identifying and pursuing opportunities to improve data quality and coverage. Given that large volumes of data are involved, you get to contribute to the architecture of our systems and help to make it better scalable and resilient. We tackle some of the hardest data science challenges to solve pressing customer needs and we are looking for a talented, enthusiastic, and collaborative colleague to join our ranks., * Passionate about creating value for customers by interconnecting data and improving quality and richness at scale.

• Enjoys working collaboratively as part of a team to achieve common goals and eager to contribute ideas.
• Willing to learn new skills and develop practical solutions to technical challenges.
• Loves diving into data to explore new ways to improve extraction/linking performance.

• Hands-on industry experience developing and delivering (components of) data science solutions.
• Familiarity with text-based (named) entity extraction and/or topic classification.
• Knowledge of applying NLP techniques and ML algorithms. GenAI/LLM expertise is most welcome.
• Demonstrable coding skills in Python, Java, or Scala.
• Experience with databases (SQL, NoSQL data stores, etc.)
• Experience with Databricks will be appreciated.
• Preferably, a formal qualification in computer science, computational linguistics, data science, machine learning, or related quantitative disciplines. 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 rewards

• Work from anywhere

• Employee Assistance Program (global)

• Annual Event About 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. RDP follows Data Mesh principles and is organized in domains, one of which is focusing on identifying and linking topics and concepts found in scientific text. We are looking for a senior data scientist (SDS-I) with a background in Natural Language Processing (NLP) and Machine Learning (ML) to join our team.