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SUSUSONITY
Internship-Advanced Analytics(m/w/x)
Eysins
Full-timeInternshipOn-site
Data Science
Nejo AI Summary
Developing predictive and prescriptive analytics for healthcare and life science supply chains. Machine learning and SQL Server or SAS experience required. Collaboration with business teams and benchmarking across industries.
Requirements
- Knowledge of data mining, machine learning, predictive analytics
- Data analysis and manipulation experience with SQL Server, SAS, IBM SPSS, or SAP
- Understanding of scripting languages (Python, JavaScript) or programming languages (SQL, Java, C++, C#, R)
- Basic knowledge of Supply Chain and Demand Planning
- Excellent problem-solving skills
- Good written and verbal communication skills in English
- Strong analytical, technical, and interpersonal skills
- Current student status
- Career level: Current student
Tasks
- Develop and implement new use cases for predictive and prescriptive techniques
- Collaborate with business teams to identify relevant data for use cases
- Benchmark best practices in supply chain predictive techniques across industries
- Review current supply chain processes and predictive analytics developments
- Propose innovative solutions to improve or change demand prediction
- Apply advanced analytics techniques such as data mining and deep learning
- Conduct projects to enhance sales forecast using exogenous signals and new algorithms
Education
- Currently in higher education
Languages
- English – Advanced
Tools & Technologies
- SQL Server
- SAS
- IBM SPSS
- SAP
- Python
- JavaScript
- SQL
- Java
- C++
- C#
- R
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SUSONITY and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
SUSUSONITY
Internship-Advanced Analytics(m/w/x)
Eysins
Full-timeInternshipOn-site
Data Science
Nejo AI Summary
Developing predictive and prescriptive analytics for healthcare and life science supply chains. Machine learning and SQL Server or SAS experience required. Collaboration with business teams and benchmarking across industries.
Requirements
- Knowledge of data mining, machine learning, predictive analytics
- Data analysis and manipulation experience with SQL Server, SAS, IBM SPSS, or SAP
- Understanding of scripting languages (Python, JavaScript) or programming languages (SQL, Java, C++, C#, R)
- Basic knowledge of Supply Chain and Demand Planning
- Excellent problem-solving skills
- Good written and verbal communication skills in English
- Strong analytical, technical, and interpersonal skills
- Current student status
- Career level: Current student
Tasks
- Develop and implement new use cases for predictive and prescriptive techniques
- Collaborate with business teams to identify relevant data for use cases
- Benchmark best practices in supply chain predictive techniques across industries
- Review current supply chain processes and predictive analytics developments
- Propose innovative solutions to improve or change demand prediction
- Apply advanced analytics techniques such as data mining and deep learning
- Conduct projects to enhance sales forecast using exogenous signals and new algorithms
Education
- Currently in higher education
Languages
- English – Advanced
Tools & Technologies
- SQL Server
- SAS
- IBM SPSS
- SAP
- Python
- JavaScript
- SQL
- Java
- C++
- C#
- R
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SUSONITY and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
SUSONITY
Industry
Healthcare
Description
Das Unternehmen entwickelt Medikamente, intelligente Geräte und innovative Technologien in Therapiegebieten wie der Onkologie, Neurologie und Fruchtbarkeit.