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Senior Software Engineer II
Do you have extensive software engineering experience?
Would you like to join our great software engineering team?
About Team:
The Recommenders team at Elsevier specialises in developing recommendation systems through Data Science and Machine Learning. Their goal is to aid researchers in finding relevant papers, funding opportunities, and peer reviewers, ultimately facilitating scientific breakthroughs and discoveries. They are motivated by the belief in technology's transformative potential to advance research.
About Role:
We are looking for a creative and enthusiastic developer to showcase their work and enhance our data. Collaboration is key, so you should be open to pairing and committed to ongoing learning and mentoring colleagues.
Key Responsibilities :
Requirements :
Why Join Us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
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 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:
About 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.