Intern - Data Scientist Trainee

Posted 23 Oct 2023

Aubonne, Vaud - Switzerland

Req Id 269030


Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.


We are seeking a dynamic and motivated data scientist trainee to join the data & analytics team within its Healthcare Division. . As a Data Scientist trainee, your focus will be on revolutionizing digital and data solutions to enhance performance and services using the power of language and text analysis. You will collaborate with global project teams, acting as a product owner, to drive projects that leverage NLP algorithms and applications to address business challenges. This dynamic role involves stakeholder management, result presentation, coordinating project tasks, and algorithm implementation, all while contributing to the development of innovative data analytics techniques through statistical, machine learning, and other modeling methods. During this period, you'll engage in a variety of NLP-driven projects and initiatives within the data & analytics field, and you will receive training and mentorship from experienced professionals in the field

Maint Tasks: 

This Internship is designed to prepare students to be professionals in the business world, offering many opportunities for development within the data & analytics team in an enjoyable work environment. In particular, you will be working on topics such as:

- Develop practical text analytics solutions and data-driven insights.
- Explore the complex operational data and engineer new modelling features.
- Documenting data, data curation and model building processes
- Providing proof-of-concepts for testing out ideas and communicating ideas with the solution team
- Interact cross-functionally and capture user requirements to provide a data-driven solution, increasing efficiency for various internal stakeholders.
- Participate in team meetings, workshops, and training sessions to develop skills and knowledge.
- Provide training and helps end-users learn how to use the solutions.


• Have the opportunity to work with multiple internal and global functions to identify best practices.
• Increase your knowledge of the daily challenges of data and analytics topics.
• Build your communication and analytical skills.
• Be considered as part of the team in a positive work environment.
• Receive on-the-job training with access to LinkedIn Learning

• Currently pursuing a master’s degree in mathematics, Physics, Computer Science or a similar field willingness to learn about the healthcare industry
• Strong skills and hands-on experience in Machine Learning (ML), Natural Language Processing (NLP), Deep Learning and Statistics.
• Proficiency in AWS (including Lambda, SageMaker and EC2), knowledge of Azure is a plus.
• Proficiency in Python for data manipulation, analysis, and modelling (Knowledge of Python libraries like pandas, numpy, sklearn, nltk, pyspark. Tensorflow and Transformers is a plus.)
• Comfortable reporting results to both technical and non-technical audiences
• Passion to try new things, learn quickly and work well with diverse
• Critical thinker and strong interpersonal skills with the desire to share knowledge and skills
• Proficiency in establishing and maintaining data pipelines using tools like SQL, PySpark, and Pandas, knowledge of Palantir is a plus.
• Fluent English communication, both written and spoken, with additional language skills like French are considered advantageous.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of our diverse team!

US Equal Employment Opportunities

The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law.  This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

We are committed to an equitable hiring process for candidates from a diverse range of backgrounds. As part of this commitment, applicants with disabilities may be entitled to reasonable accommodations. Please contact, if a reasonable accommodation is needed or if you otherwise need assistance to participate in the hiring process.

North America Disclosure

If you are a resident of California, Colorado, New York, or Washington, you are eligible to receive additional information about the compensation and benefits, which we will provide upon request. You may contact 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday, for assistance.

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