Data Sciences & Statistics (Multiple Roles & Locations) Industrial Placement, UK 2025

Key Skills

Aartificial intelligence, Data science techniques, Design, Machine learning techniques, Statistics

Job Description

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.

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)

Once you accept your offer you will be invited to join LinkedIn groups and pre-joining webinars, to enable you to connect and network with new students. You will join IPUnite, GSK’s community of over 250 students across all UK sites and business areas, run by the Industrial Placement students committee and will receive access to GSK resources, including employee assistance programmes, private healthcare, and well-being programs.

The Roles (3 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 – Biopharm Process Research

Roles available – Stevenage

Degree requirements: Data Science, Data Engineering, Computational Sciences and any related field

Overview of the Department

BioPharm Process Research (BPR) is an early process development function responsible for de-risking and accelerating biopharmaceutical assets into clinical manufacture and onward late-stage development and commercial manufacture. Due to recent investments in scale-down, high-throughput process and analytical technology within BPR, an exciting new data science opportunity exists to fully exploit the data generated to deliver deeper and faster understanding of cell line and molecule quality in our process design space.

Key Placement Activities

• Build, maintain and update dashboards and visualisations that will be used by the scientists on a daily basis.

• Apply data analysis, machine learning & data wrangling to identify relationships between key cellular and process characteristics and product quality and determine methods to exploit and apply this knowledge in the BPR portfolio workflow.

• Train and share knowledge and ways of working internally to upskill existing staff as required.

• Identify the most impactful workflows that will derive unique cell, process and molecule understanding.

Role 2 - Statistics and Data Science

Roles available – GSK HQ or Stevenage depending on candidate preference

Degree requirements – Mathematics, Statistics, Data Science

Overview of the Department

This is an exciting opportunity to join GSK and gain exposure for innovation in the field of Statistics and Data Science to help transform the way in which we use data and quantitative thinking to drive decision-making in R&D. We are growing our cutting-edge statistical innovation and data science capabilities by expanding the Statistics & Data Science Innovation Hub (SDS-IH), a methodologically focused, solution-oriented functional group within GSK’s Biostatistics department.

Key Placement Activities

• Develop and explore novel methods for handling prediction problems

• Gain hands on coding experience developing Machine Learning and prediction modelling pipelines

• Understand the background and statistical methods important for drug development

• Provide analysis, reporting and interpretation of modelling projects

• Become proficient in R programming and Python. Leverage version control through GitHub to enable collaboration

• Learn the theory of new statistical and machine learning methodologies and how to apply it by collaborating with highly skilled statisticians and attending training courses

Role 3 – Digital Data Analytics and Performance Analyst

Roles available – GSK HQ or Stevenage depending on candidate preference

Degree requirements – Data Science, Computer Science, Commercial and Business Administration

Overview of the Department

DDAP (Digital, Data, Analytics and Performance) is part of the PPM (Project Portfolio Management) department, which manages the delivery of the whole Rx and Vx R&D project portfolio. The department provides state-of-the-art systems, tools and high-quality data and analytics to enable effective and agile project management and governance across the R&D pipeline.

Key Placement activities

• Analytics and Reporting Design/Delivery: interpreting data, creating meaningful visualizations, and communicating insights effectively to stakeholders.

• Gathering requirements from stakeholders, translating business needs into technical specifications, and designing solutions that align with business objectives.

• Agile Methodology: managing projects with flexibility, emphasizing iterative development, team collaboration, and responding to change.

• AI/ML Discovery/Implementation: strengthen knowledge in identifying opportunities for AI/ML applications, understanding machine learning models, and implementing AI solutions

These placement opportunities have the following recruitment stages you must successfully pass to

be offered a placement year with GSK for 2024:

• Eligibility Form

• World of GSK Online Assessment

• Written Assessment

• Virtual Assessment Centre or Virtual Interview

You’ll find hints, tips and guidance on our recruitment process on our website here.

You can learn more about GSK and our careers here.

Apply now!

We’re 100% open to all talent – whatever your gender, marital status, religion, age, colour, race, sexual orientation, nationality, learning difference or disability. We want to recruit the right people for GSK from the widest possible backgrounds, so we can better serve the diversity of our patients and also because it’s the right thing to do.