ElsevierEL

Remote Intern

Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. It has evolved from a traditional publisher into a company that provides digital solutions and tools for data management, instruction, research analytics, and assessment.

Elsevier

Employee count: 5000+

India only

About the Program

Our internships center around hands-on mentorship, capstone project, interactive sessions, and small group discussions. As a data scienceintern for one of our three Data Science departments (Health, Life Sciences and Research) your activities will span one or more of the following: researching state-of-the-art methods, designing, writing code and running experiments to test hypotheses, perform validation of the system, developing demo applications. You will work closely with the diverse team of data scientists and domain experts. During this internship, you’ll be paired with a core expert group who will mentor you as you tackle real-world projects in respective domains.You’ll also be able to access our physical and virtual educational resources, attend guest speakers and social events, and get a sense of what it would be like to work here full time.

If you’re thinking about a career in data science, technology, clinical analytics, life sciences, or research, look no more. If you have a curious mind, a collaborative nature, and a passion for solving interesting problems, we have a feeling you’ll fit right in.

About the Position

As a Data Science intern, you’ll work side by side with full time employees to learn how we identify market signals, analyze large datasets, build and test models, create new strategies, demonstrate technology proof-of-conceptsand write code to implement them.

The problems we work on rarely have clean, definitive answers, hence providing an opportunity to cross-collaborate. Through your experience we hope that you will better understand the diverse array of research challenges considered every day, from reasoning about how best to analyze very noisy datasets to building practical models using various state of the art technologies.

Education and other qualifications

  • Master or PhD in computer science, data science is required.

Skills

  • Strong understanding of ML/NLP pipelines, proficiency in Python. Hands-on project development experiencewith supervised and unsupervised learning; model building, validation, and testing using state of art ML algorithms such as random forest, SVM, Logistic Regression, Bayesian modeling would be a plus.

  • Good to have experience or knowledge of building, fine-tuning and deploying deep learning models, neural networks, state-of-the-art transformer language models, GenAI.

  • Experience or interest in working with “big data” and applying advanced algorithmsin Healthcare, Life Sciences or any Researchdomains.

  • Experience using *nix systems, open-source software, libraries and jupyter notebook hubsis required.

Behaviors

  • Ability to drive new developments and implement process changes and disruptive technologies in the organization.

  • Self-motivatedand a team player.

  • Enjoys being part of an agile, globalteam with members in India, Europe and the US. Great collaborator.

  • Good communication and documentation skills

  • Adopts pragmatic approach when choosing and implementing the right technologies to solve a problem anddevelops success metrics.

  • Thirsty for knowledge and keen to share learnings with the team.

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.

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Entry-level

Location requirements

Hiring timezones

India +/- 0 hours

About Elsevier

Learn more about Elsevier and their company culture.

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At Elsevier, our core mission is to help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. This purpose has been the driving force behind our evolution from a traditional publisher, with a rich history spanning over 140 years, into a global leader in information and analytics. We are committed to facilitating insights and critical decision-making for our customers across the global research and health ecosystems. Our culture is one that cultivates collaboration and encourages the cross-pollination of groundbreaking ideas. We strive to make complex subject matter user-friendly and to transform theoretical knowledge into actionable solutions. The support we provide to the world's most progressive thinkers and clinicians is instrumental in creating a better world and fostering a sustainable future for everyone.

Our team of over 9,700 employees, spread across 46 countries, serves customers in 180 nations worldwide. This global presence allows us to understand and address the diverse needs of academic and government institutions, research-intensive corporations, healthcare organizations, and students. We believe in empowering our people to make the right decisions and hold ourselves accountable for delivering the best outcomes, all while striving for meaningful innovation. Continuous learning is a cornerstone of our environment; we encourage curiosity to stimulate innovation for the communities we serve. The Elsevier Experience is built on three pillars: purposeful work, growing every day, and a commitment to wellness and wellbeing. We understand the critical link between work, health, and wellbeing, and our leadership and employees collaboratively foster a connected, caring, supportive, and nurturing workplace. We champion a healthy work-life balance, recognizing its importance not only for individual health and relationships but also for enhancing performance and dedication. By enabling our people to thrive, we cultivate a work environment where they are dedicated, mindful, and empowered to contribute to our overarching mission of advancing knowledge and improving lives.

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