Job Description

Are you interested in bringing your Machine Learning and NLP expertise to projects?
About our Team
Our team is focused on developing and evolving our automated excerption capabilities. Our team helps to optimize search and discovery for enriched data on Elsevier’s suite of Life Sciences products. We are a team of highly experienced experts in data science, data analytics, and the Life Sciences domain. We are a diverse team, engaged and inclusive, working in an agile way.
About the Role
You will work on projects as a Data Scientist, bringing your Data Science, Machine Learning and NLP expertise to projects. You will collaborate with technology teams, product managers and domain experts to build high value outcome from our content. You will have the opportunity to impact significant processes that affect our customer facing products.
Responsibilities

• Developing end to end DS solutions to handle complex NLP problems
• Developing, evaluating, reporting on Machine Learning models by analyzing data requirements, modeling & identifying ways to improve on methodology, performance
• Making sure best practices are followed such as experiments reproducibility and responsible data science principles to ensure alignment of processes
• Collaborating with Machine Learning Ops team to deliver robust deployment and usage of the Machine Learning models to production
• Suggesting and implementing new ideas to enrich content and extract insights using deploying state-of-the-art methods, resources and innovative views

Requirements

• Have a Bachelor’s education with three years of experience in Data Science, NLP or related field.
• Demonstrate deep knowledge of advanced concepts of Machine Learning
• Have experience working with deep learning models such as Transformers, Neural Networks, etc.
• Be able to work with either PyTorch or TensorFlow
• Have experience with Python programming and coding proficiency using open-source libraries and frameworks for NLP
• Be able to build & apply best practices around the usage of Data Science frameworks

Work in a way that works for you
We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that 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 with us
We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.
Working for you
We want to protect your health, help you accumulate wealth and secure your future. We are therefore delighted to offer:

• Generous holiday allowance with the option to buy additional days
• Access to a competitive contributory pension scheme and life assurance
• Tax-free childcare support
• Parental leave options
• Health screening and private medical benefits
• Season ticket loan

About Us
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.
Join Us
Purposeful Work
When you work with us, your work matters. You are part of an organization that nurtures your curiosity to stimulate innovation for the communities that we serve.

Growing Every Day
Like the communities we serve, you are on a constant path of discovery to shape your career and personal development.

Colleagues Who Care
You will be part of the Elsevier family. We will support your well-being and provide the flexibility you need to thrive at work and home.

Together, we create possibilities.
Join us
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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. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact accommodations@relx.com or if you are based in the US you may also contact us on 1.855.833.5120.
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