GSK
Data & Analytics (Multiple Roles and Locations) Industrial Placement, UK 2027
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Choose Wisely, Apply Confidently
To maximize your opportunities at securing an Industrial Placement with us this year, we strongly advise that you apply to no more than 3 adverts. (For clarity, multiple roles within a single advert are considered one application.)
We encourage you to concentrate your efforts on the roles that best align with your skills, interests and university experience, as this will strengthen your application and give you the best chance of success.
Roles Available in Location:
- Montrose
- Worthing
- Stevenage
- Ware
Education Required:
See individual roles for degree requirements
Please read the degree requirements for each role carefully before applying.
Other Requirements:
- You will have completed a minimum of 2 years of your undergraduate degree but will not have graduated at the start of your placement.
- You must be enrolled at a UK (United Kingdom) or ROI (Republic of Ireland) University for the duration of your placement.
Pre-application Activity:
Before applying, you'll need to obtain an application code by completing a short activity in Connectr, our candidate engagement platform.
This activity is designed to encourage considered applications. Once completed, you'll receive your unique application code required to proceed with your application
If you have already graduated with a bachelor’s degree and are currently studying a postgraduate Masters, you are not eligible for this programme.
Language Requirement:
Written and spoken fluency in English
Expected Start Date:
July 2027
Duration:
1 year (approximately)
Salary:
A salary of £26,400 plus a bonus.
Workplace Arrangements:
Full time on site required
Application Closing:
Roles are expected to close on 13/10/2026, however, candidates will be reviewed regularly, and the advert may close at any point. Please ensure you review and complete the application stages below.
Are you looking to gain valuable real world work experience and help positively impact the lives of others?
A GSK internship offers you the opportunity to kickstart your career – to take on a real role with genuine impact. You’ll take on challenging tasks within live projects or assignments. You’ll also get to learn from others in your team and other parts of GSK whilst developing your skills and gaining valuable experience for wherever the future takes you.
What do we offer you?
- A competitive salary, with an annual bonus based on company performance.
- Employee recognition programs, which reward exceptional achievements.
- Access to our cutting-edge wellbeing platform: personalize your experience, help reduce stress, increase focus, build connections and resilience. You will also have access to a confidential helpline 24/7, mindfulness, health screenings and financial wellbeing support.
- Access to Private Healthcare Insurance, including 24-hour access to an online GP.
- Optional Support: Includes identity protection, long-term care insurance, home, auto, and pet insurance
- Opportunities to work with Employee Resource Groups, providing opportunities to network, gain mentorship, and develop personally and professionally.
- Access to IPUnite which is a community of Early Careers programme participants offering development, networking and social connections to help you make the best of your programme. You will also be invited to join LinkedIn groups and pre-joining webinars, to enable you to connect and network with new students.
- 2 volunteering days per year
Typical Skills You Can Expect to Learn on This Placement
- Teamworking through working with multidisciplinary teams
- Communication (written & verbal)
- Time management
- Problem-solving
- Networking
- Data analysis and management
- Technical skills (detailed within each role description)
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The Roles (4 available)
This advert contains multiple roles. Please read each role carefully before proceeding as you will be asked to provide a preference later in the application process.
Role 1 - Smart Manufacturing Analytics – Montrose
Degree Requirements:
Manufacturing Engineers, Electrical Eng, Digital/Computer Science, Automation
Workplace Arrangements:
Full time onsite
Overview of the Department
The Manufacturing Science & Technology (MSAT) department supports pharmaceutical manufacturing operations by providing technical expertise, process monitoring, and performance analysis to ensure processes operate efficiently, consistently, and compliantly. The team is responsible for understanding and optimizing manufacturing processes, equipment performance, and process control strategies to maintain high standards of product quality and operational excellence.
MSAT works closely with manufacturing, engineering, quality, and technical teams to evaluate new and modified equipment, map and improve processes, and drive continuous improvement initiatives. The department also plays a key role in investigating process deviations, conducting root cause analysis, assessing risks, and implementing solutions that enhance efficiency, throughput, and reliability. Through data-driven decision making and cross-functional collaboration, MSAT helps deliver sustainable improvements across the manufacturing environment.
Key Placement Learnings
- Developed an understanding of pharmaceutical manufacturing processes, equipment operation, and process control principles.
- Gained experience in process monitoring, performance analysis, and the use of data to support operational decision-making.
- Enhanced knowledge of process mapping techniques and the evaluation of new or modified equipment and technologies.
- Built practical experience in continuous improvement activities, focusing on efficiency, quality, and throughput optimization.
- Strengthened problem-solving, risk assessment, and root cause analysis skills through participation in deviation investigations.
- Improved collaboration and communication skills by working with cross-functional teams across manufacturing, engineering, quality, and technical functions.
Role 2 - Digital, Data & Analytics – Worthing
Degree Requirements:
Computer Science, Mathematics, Engineering, Data Analytics
Workplace Arrangements:
Full time onsite
Overview of the Department
This role sits in the GSK Production System (GPS) and Strategy team. This department includes Continuous Improvement, Digital Data Analytics, and Project Management teams which oversees the whole Worthing site and provide support to all departments from end to end. The candidate will have the opportunity to get involved in all site functions and experience a wide range of processes but also will have the ability to learn transferable skills such as Lean Manufacturing, Six Sigma tools, Digital, Data and Analytics, etc.
Key Placement Learnings
- Support with business analytics to support the drive of KPIs
- Support the engagement of Digital, Data & Analytics culture across site
- Drive/support improvement frameworks in key areas across the site
- Support the role out of GSK Production system (Continuous Improvement system) across all of the site
- Work closely with production areas to support the execution of their improvement plans
- Learn and develop digital solutions as part of SMART Manufacturing using AI, Power BI, Power Apps, and Machine Learning
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Role 3 – Scientific Data Engineering - Stevenage
Degree Requirements:
Mathematics, Data Science, Computer Science, Computational Biology, Computational Chemistry, OR in Life Sciences/Chemistry with a strong computational component
Placement Overview
The Data Automation and Predictive Sciences (DAPS) in R&D drives the realization of GSK’s data-as-an-asset and predictive modelling ambitions by leveraging proprietary data, advanced computational capabilities, and deep scientific expertise. Comprising discovery-focused data and computational scientists, the team delivers measurable impact on the progression of the medicine portfolio by improving cycle times and probability of success through seamless data generation, capture, and reuse, including predictive models and decision-support frameworks. By simplifying decision-making, clarifying accountability, and establishing standards with stakeholders, the team ensures the effective use of data to enhance portfolio speed, quality, and overall value.
Key Placement Learnings
- Experience working with APIs, data pipelines, and integration patterns that enable systems to communicate reliably and securely.
- Understanding of good practices for data governance, reproducibility, documentation, and operational support in regulated R&D environments.
- Collaboration within a multidisciplinary team, gaining insight into how data science enables faster, higher‑quality scientific decision‑making.
- Ownership of a personal project or well‑defined work packages contributing directly to a real‑world R&D initiative, such as predictive modelling for target identification, compound profiling, or translational biomarker discovery.
Role 4 – Informatics & Data Science – Ware
Degree Requirements:
Data Science, Computer Science, Mathematics, Statistics, Engineering, Chemistry, Pharmaceutical/Biological Sciences, or another highly numerate subject
Workplace arrangements:
Full-time onsite
Overview of the Department
This placement sits within the Ware Informatics and Data Science team, which uses scientific, manufacturing and process-performance data to develop insights and innovative data solutions. The student will work with teams across the site, gaining hands-on experience of data science in a regulated pharmaceutical manufacturing environment while supporting better decision-making, process improvement and the introduction of new products.
Key Placement Learnings
- Develop automated data processes, datasets, dashboards and visualisations
- Apply tools such as Python, R, SAS, Power BI and Microsoft Power Platform
- Analyse product and process data to identify trends and support root-cause analysis
- Translate business and scientific requirements into practical data solutions
- Work collaboratively with manufacturing, quality, technical and digital teams
- Develop an understanding of data integrity, GMP, validation, Agile working and continuous improvement
- Support the deployment of sustainable data solutions that contribute to GSK’s zero-waste and zero-defect ambitions
Apply Now!
These placement opportunities have the following recruitment stages – you must successfully pass each stage to be offered a placement year with GSK for 2027:
- Complete Connectr activity – obtain your personal code - please follow this link to complete
- Eligibility Form – enter your personal code
- GSK Digital Assessment
- Some technical roles may require a short technical assessment
- Virtual Assessment Centre or Virtual Interview
Note: Your Connectr application code is unique and must not
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