Internship - Digital Data Analytics, Singapore (January to June 2027)

Biopharma Careers; Singapore; On-site; SGD 13,000 - 18,000; Full time

Benefits offered by this job

Transport to MRT stations

Job summary

GSK in Singapore is offering a Digital Data Analytics Internship for 2027. You will support the Data Analytics team to structure and manage historical operational data and build predictive models for manufacturing improvements.

You'll gain hands-on experience with MS Power Platform, BI tools, and dashboard development, while collaborating with chemists, engineers and data scientists. Applicants must be enrolled at a SG university for the duration and complete a full-time credit-bearing

Qualifications

• Bachelor’s degree in a relevant field such as Chemical Engineering, Data Science & Analytics, Computer Engineering or Computer Science.
• Enrolled at a SG university for the duration of the internship and undertaking a full-time credit-bearing internship.
• Written and spoken fluency in English.

Responsibilities

• Support data scientists and work within the Data Analytics team to structure and manage historical operational data for predictive models.
• Develop dashboards and visualizations using Power BI and other BI tools to present insights.
• Lead or assist in project management, preparing communication materials and coordinating with site users.

Skills

Python

SQL

Data analytics concepts

Education

Bachelor's degree in Chemical Engineering

Data Science and Analytics

Computer Engineering

Computer Science

Tools

Power BI

MS Power Platform

Job description

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

Application deadline: 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.

What will you do?

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.

Data Science:

• 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

Dashboarding:

• Create and deploy new performance dashboards and visualization

Management Skills:

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

What will you learn?

• 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

What are we looking for?

• 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 datasets
• Strong logical thinking with ability to translate data into insights and recommendations
• Comfortable working with cross-functional teams (engineers, chemists, data scientists)
• Able to present findings clearly (reports, dashboards, slides)

What do we offer you?

• Understand and experience the GSK Culture
• Work with a diversified team of professionals
• Implement technical knowledge and skills that you have acquired at school
• Apply and develop soft skills such as interpersonal, communications and negotiation skills
• Transport to and from site to MRT stations in centralised locations across Singapore (only for manufacturing sites)

Why GSK?

Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

We are committed to creating an inclusive workplace and providing equal opportunities for all applicants. We embrace an agile working culture across our roles, so if flexibility is important to you please discuss opportunities with our hiring team. If you need any adjustments to the recruitment process to help you demonstrate your strengths and capabilities, contact [e-mail] . Please note this email is for adjustment requests only; for other enquiries please use our standard contact channels.

Let’s do this!