This job has expired, please see additional jobs below
Technologist - Entry level
Elsevier
Philadelphia, PA, United States
Job Details - this job has expired, please see similar jobs below
We are looking to build a team of talented, insightful, and creative technologists to join our 2018 US Technology Graduate Program. From your first day you will be collaborating with both technology and business colleagues to help build innovative digital solutions globally. You won’t simply be writing code; you will be instrumental in developing inventive ideas and driving them through completion.
Whether you aspire to be a software expert, Data Scientist, UX Designer, Information Security Analyst, or a highly-regarded architect we can help you achieve this. Our graduate technologists are our future and will be given the opportunity to become well-rounded individuals through exposure to our advanced technology stack, wider business communities as well as our existing technology teams. Digital Analytics is at the heart of what we do and is changing the way we do business at Elsevier. Many of our previously hired graduate program members are exceeding all our expectations as they use technology to tackle some of the world’s problems.
So, who is Elsevier? With a rich history spanning 130 years, Elsevier is the fourth largest digital paid content provider in the world behind Google, Bloomberg, and China Telecom. Elsevier provides unparalleled content and innovative information solutions to facilitate scientific and medical research. Our cutting-edge technology platforms enable scientists, health professionals, and research students to make critical decisions, enhance productivity, and improve outcomes. Our award winning Digital Information Analytics help progress science, advance Healthcare and improve performance. We employee of 1100 of the world’s best technologists around the globe.
What are we offering?We are offering multiple IT graduate opportunities for 2018; roles will be based in our newly redesigned Philadelphia office. You will be trained over the course of two years in disciplines such as Software Engineering, Data Science, Project Management, information security and/or QA Engineering. Additionally, you will gain exposure to technologies such as Cloud Computing, Big Data, Natural Language Processing, and Machine Learning.
What makes us better than the rest?There are all sorts of graduate roles out there but we are confident that few (if any) can match the combination of benefits that we offer. In addition, too great technical and soft-skills training, we offer: an excellent work-life balance, a great social life, collaborative agile teams, structured career planning and a two year fast-track career development program. Last but not least we offer a generous remuneration package that increases incrementally throughout the two years and offers core benefits that start day one!
What are we looking for?
• First and foremost, you should be a 2017/2018 graduate. Degrees of choice include Computer Science, Data Science, Computer Engineering, Math, or Physics.
• You should have a natural passion for technology and a desire to learn and progress quickly.
• You must be a strong communicator with well-formed interpersonal skills.
• You must be eligible to work in the US.
The ideal candidate would:
• Be interested in working for a global organization known for doing good things around the world.
• Possess a desire to work within an advanced tech stack surrounded by a brilliant set of technologists.
Take the next step
If this sound like the ideal opportunity to kick starts your career, then please apply immediately. Initial telephone screenings will begin in early 2018. Offers will be extended shortly thereafter. The start date for these roles will be June, 2018.
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.