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Early-Life Nutrition & Growth Data Science Intern(m/w/x)
Analyzing internal and external data on early-life nutrition for Nestlé Research. Strong data analysis skills required. Hybrid work, flexible options.
Requirements
- Pursuing or graduated from data science degree
- Pursuing or graduated from biostatistics degree
- Pursuing or graduated from human nutritional physiology degree
- Pursuing or graduated from biochemistry degree
- Good knowledge in data analysis
- Good knowledge in modelling
- Good knowledge in R language
- Good knowledge in Python languages
- Good knowledge in meta-analysis tools
- Curiosity about infant and child health
- Curiosity about infant and child nutrition
- Ability to connect scientific evidence to outcomes
- Fluent English communication (spoken and written)
- Courage
- Collaboration skills
- Speed
- Continuous learning
Tasks
- Analyze internal and external data on early-life nutrition
- Collaborate with scientists and R&D teams
- Review scientific literature for relevant findings
- Present recommendations to research and department teams
- Translate complex analysis into actionable project findings
- Generate practical recommendations for business and health impact
Education
- Bachelor's degree
Languages
- English – Fluent
Tools & Technologies
- R
- Python
- meta-analysis tools
Benefits
Flexible Working
- Flexible working options
- Hybrid work possibilities
Learning & Development
- Learning and development opportunities
Healthcare & Fitness
- Healthcare contribution
Mental Health Support
- Employee Assistance Program
Corporate Discounts
- Employee discounts
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Early-Life Nutrition & Growth Data Science Intern(m/w/x)
Analyzing internal and external data on early-life nutrition for Nestlé Research. Strong data analysis skills required. Hybrid work, flexible options.
Requirements
- Pursuing or graduated from data science degree
- Pursuing or graduated from biostatistics degree
- Pursuing or graduated from human nutritional physiology degree
- Pursuing or graduated from biochemistry degree
- Good knowledge in data analysis
- Good knowledge in modelling
- Good knowledge in R language
- Good knowledge in Python languages
- Good knowledge in meta-analysis tools
- Curiosity about infant and child health
- Curiosity about infant and child nutrition
- Ability to connect scientific evidence to outcomes
- Fluent English communication (spoken and written)
- Courage
- Collaboration skills
- Speed
- Continuous learning
Tasks
- Analyze internal and external data on early-life nutrition
- Collaborate with scientists and R&D teams
- Review scientific literature for relevant findings
- Present recommendations to research and department teams
- Translate complex analysis into actionable project findings
- Generate practical recommendations for business and health impact
Education
- Bachelor's degree
Languages
- English – Fluent
Tools & Technologies
- R
- Python
- meta-analysis tools
Benefits
Flexible Working
- Flexible working options
- Hybrid work possibilities
Learning & Development
- Learning and development opportunities
Healthcare & Fitness
- Healthcare contribution
Mental Health Support
- Employee Assistance Program
Corporate Discounts
- Employee discounts
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Nestlé Research
Industry
Research
Description
Nestlé Research is a global organization focused on research and innovation to create amazing solutions and make a meaningful impact on the world.
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