Internship - Digital Data Analytics

Help us get ahead of disease together with our Digital Data Analytics Internship, 2027:

Education required:

Bachelor’s Degree from an accredited college/university, preferably in Chemical Engineering, Data Science and Analytics, Computer Engineering or Computer Science

Other requirements:
Must be enrolled at a SG university for the duration of your internship and doing a full-time credit-bearing internship

Language requirement:
Written and spoken fluency in English

Internship period:
January to June 2027

Final date to receive applications:
As applications will be reviewed on a rolling basis, we recommend applying as soon as possible for your application to be considered. This vacancy will be closed once we have enough applications for consideration.

Modern manufacturing is no longer just about finding ways to operate faster while reducing expenses; it is also about doing so in a data-driven and intelligent way. With technologies such as cloud and data analytics, the vast quantities of data generated can be processed and translated into actionable insights to diagnose problems and identify opportunities for improvement. With machine learning, highly intelligent systems can assist the workforce in optimising processes, predicting equipment failures and changes in demand patterns.

At their best, these intelligent systems can also autonomously make decisions and respond to changing internal and external business needs.

Through this internship, you will be supporting the data scientists and working within the Data Analytics team to structure and manage historical operational data in a way that will help to build predictive models to solve pharmaceutical manufacturing problems. You will help compiling findings and recommendations into reports.

You will also be using solutions such as MS Power Platform, BI or other dashboarding tools to develop new dashboards and visualization of business and process data. Where possible, you will support development of real-time monitoring & data analytics to fully leverage on collected data in our computer systems.

• Develop the pipeline in the Data Intelligent Services platform to enable better handling of datasets and include new modes of analysis
• Participate in business use cases which entail working with chemists and engineers to understand the process, business requirements, creating predictive machine learning models, and developing recommendations to improve the manufacturing processes

• Create and deploy new performance dashboards and visualization

You will also be given a chance to lead / assist the data scientist or project managers in the following:

• Project management of a use case or digital application project
• Prepare communication materials such as slides, videos for change management
• Organize communication sessions with the site users
• Join and lead / participate in company social events eg. Environmental Sustainability or Social Welfare related

• You will learn about Pharmaceutical Primary Manufacturing and the use of data analytics and machine Learning to deliver business value
• Acquire knowledge on the cross functional interconnectivity across operational, engineering, MSAT and quality functions to deliver the new technology solutions for improving processes and product quality attributes
• Immersed in the site activities and understand how effective monitoring of the Key Performance Indicators (KPIs) can help drive improvement in performance
• Able to apply your knowledge of programming, data/computer sciences and analytics and learn soft skills in engaging different stakeholders from shopfloor to senior management to deliver a project

• Interest in smart manufacturing / digital transformation / data-driven decision making
• Curious, proactive, and willing to learn in a fast-paced environment
• Basic proficiency in Python and SQL
• Familiarity with Data Analytics and Machine Learning concepts
• Experience with Power BI, dashboards and data visualisation tools
• Knowledge of cloud, data platforms, or additional languages (e.g. VBA, JavaScript) is a plus
• Able to structure and analyse large…