Data & Analytics (Multiple Roles and Locations) Industrial Placement, UK 2027

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 will include:

• 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)

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: Computer Science, Data Science, Digital and Technology or related

Workplace Arrangements: Full time onsite

Overview of the Department

The development of digital solutions to reduce paper usage and waste on site. The team is responsible for supporting the site to meet its 2030 Smart Manufacturing digital objectives and upskilling, influencing other departments to adopt new technology. The team also are responsible for identifying new technology that would be of benefit to the manufacturing site.

Key Placement Learnings

• Supporting the site digital initiatives as part of Smart Manufacturing strategies.

• Creating PowerBI dashboard and site-specific apps

• Identifying digital improvements to eliminate wasteful processes on site.

• Build Digital learning skills for app development.

• Use and develop machine learning algorithms

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

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, Mathematic