Key Responsibilities
Collaborate with senior data scientists to understand business challenges and analytical requirements.
Support data collection, data cleaning, exploratory data analysis, and interpretation of results.
Generate insightful data visualizations and communicate findings to project stakeholders.
Assist in machine learning model development workflows, including feature engineering, model selection, and validation activities.
Document analytical approaches, findings, and processes to enable knowledge sharing and reproducibility.
Contribute to advanced analytics projects focused on Supply Chain and Manufacturing optimization.
Stay informed about emerging trends and technologies in data science, machine learning, and artificial intelligence.
Work collaboratively with business and technical stakeholders to deliver measurable business impact.
Required Qualifications
Currently pursuing a Master's degree in Applied Mathematics, Computer Science, Engineering, Applied Statistics, or a related field.
Solid experience applying data science methodologies to solve business problems.
Knowledge of data mining, statistical modeling, predictive analytics, and machine learning techniques.
Programming experience in Python or R; knowledge of object-oriented programming languages such as Java, C++, or C is considered an advantage.
Understanding of machine learning deployment concepts and software engineering best practices.
Experience with testing frameworks and analytical libraries.
Knowledge of cloud-based data science environments such as AWS or SageMaker is a plus.
Strong analytical thinking, problem-solving skills, and ability to work in international environments.
Excellent communication skills and ability to present complex concepts clearly.
Fluent English language skills; additional languages are an advantage.
Why Join Abbott?
At Abbott, you can build a meaningful career while contributing to innovative healthcare solutions that improve lives around the world.
This internship offers
Hands-on experience in advanced analytics, machine learning, and artificial intelligence.
Exposure to high-impact projects supporting global Supply Chain and Manufacturing functions.
Collaboration with experienced data scientists and business leaders.
An opportunity to contribute to Abbott's data-driven transformation strategy.
Development of advanced analytical, technical, and business skills in a global environment.
Exposure to cutting-edge technologies and real-world business applications.
A potential pathway toward future career opportunities within Abbott.
Interested in joining us? Apply today and become part of a team that is helping shape the future of healthcare.
Abbott is an equal opportunity employer committed to employee diversity and inclusion. We welcome applications from all qualified candidates.
Stay connected at www.abbott.com, Facebook www.facebook.com/Abbott and Twitter @AbbottNews and @AbbottGlobal.
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- The base pay for this position is
- N/A
- In specific locations, the pay range may vary from the range posted.
JOB FAMILY
Administrative Support
DIVISION
EPD Established Pharma
LOCATION
Switzerland > Allschwil : H-127
ADDITIONAL LOCATIONS
WORK SHIFT
Standard
TRAVEL
Not specified
MEDICAL SURVEILLANCE
Not Applicable
SIGNIFICANT WORK ACTIVITIES
Not Applicable
