Nestlé Health Science R&D Digital Intern

At Nestlé Health Science, we believe that nutrition, science, and wellness must merge, not collide. Here, we embrace the intrinsic connections of these three pillars, harnessing their collective strength to empower healthier lives. Our broad product portfolio includes renowned brands like Garden of Life®, Nature's Bounty®, Vital Proteins®, Orgain®, Nuun®, BOOST®, Carnation Breakfast Essentials®, Peptamen®, Compleat Organic Blends®, and more. We also have extensive pharmaceutical expertise, offering innovative medicines that aim to prevent, manage, and treat gastrointestinal and metabolic-related diseases.

At Nestlé Health Science, we bring our best for better lives. Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier lives through nutrition. We know brilliant ideas can come from anyone, anywhere. Here we embrace the entrepreneurial spirit and collaborate with teams that champion focused and forward thinking. We are committed to fostering professional growth and celebrating the achievements of our people along the way. We offer dynamic career paths, robust development, opportunities to learn from talented colleagues around the globe, and benefits that support physical, financial, and emotional wellbeing.

Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.

Support digital in R&D and manufacturing projects such as manufacturing data analytics, AR/VR technologies, AI and ML model development, support process control projects.

Key Responsibilities:

• Data analytics projects for advanced intelligent dashboard creation using various analytics software
• Data engineering and modeling to generate insights on product and factory machine performance
• Developing AR and VR technical solutions for manufacturing environment
• Research the actual and future trends on Process Control systems, including new technologies like machine learning, data analytics, vision systems and robotics

Experience/tools

• Digital technologies
• AI agents and copilots
• Data analysis and processing , machine learning
• Statistics and modeling

Skills

• Self-starters who are result-oriented, analytical, innovative, intellectually curious and who take initiative and risks.
• Excellent communicators (both written and verbal) who encourage others and excel in a team environment.
• Ability to learn quickly, embrace change, and thrive in a fast-paced, environment.

Areas of Study/Majors

• Computer Engineering
• Mechanical engineering
• chemical engineering
• Electrical and Electronics Engineering