What do we offer?
During the internship, you will have the opportunity to work on smart manufacturing or digital transformation-related projects. You will get hands-on experience in data collection, data analysis & interpretation, and visualization of both time series process data, and manufacturing/operational data.
Role & Responsibility
- KEY: Support data-related projects by identifying user needs, collecting data, perform data analysis & interpretation and visualization of both time series process data, and manufacturing/operational data. Report insights and help users to make decisions and find improvement opportunities.
- Engaging cross-functional stakeholders (regional and country) to understand user requirements (voice of customer) and ensure data accuracy and availability.
- Extract data from data platforms (database, machines, and sensors), track, analyse and report Key Performance index (KPIs) & operational status. KPI may include but not limited to: Overall Equipment Efficiency (OEE), Energy Performance index and CO2 footprint, material track & trace, operator time tracking etc. Tools may include SEEQ, Python, SQL, and batch scripting.
- Perform data cleaning and data wrangling for analysis and analytics modelling.
- Update regional operational dashboard. Tools may include Power Platform, SEEQ, and QlikView.
- Support implementation of digital tier meeting dashboard through data automation and analysis solutions.
- Perform review of on digitalization project initiatives to ensure timely completion and value delivery.
- Deliver the expected output of these projects by the end of your internship period (e.g., a report, an analysis, a presentation etc).
- Liaise with external suppliers or vendors to resolve issue when needed.
Qualifications
Skills required
- Data management and analytic skills.
- Attention to details with good communication and presentation skills.
- Coherent and clear written and verbal skills.
- Organization and time management skills.
- Keen to contribute & not shy to share their thoughts with the team.
- Strong interest with manufacturing and production operations.
- Interested on new smart manufacturing technologies, sustainability, industry trends.
- Experience with technologies and data visualization tools such as Power BI or QlikView will be a strong plus.
Qualifications
- Background of Process Engineering, Industrial System Engineering, Computer Science, Mathematics, or equivalent education program are welcomed.
- Proficient level with Microsoft Office (Microsoft Excel, Microsoft Word, Microsoft PowerPoint).
- Able to commit to a 5 - 6 months full-time internship.
Additional Information
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, colour, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Company Description
Syngenta is a R&D global leader in agriculture; dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.
Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.
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