Internship: GenAI/AI/ML Engineers & Data Scientists/Analysts (Master, PhD, Post-Doc), Belgium – 2025 Full-time

GSK Internship Programme

Education required: You are regularly enrolled in a Bachelor/Master or PhD in Physics, Statistics, Engineering, Mathematics, Computer sciences or Technical Research & Development in an Educational Establishment located in Europe.

Language requirement: You are fluent in English.

Other requirements:

• Previous hands on experience in relevant fields is highly recommended shown by cutting edge research experience or internships in startups or top tier companies
• Good to strong coding aptitude is required in Python (link to a personal github repository is a plus)

Expected start date: All year

Duration: Minimum 4 months (exceptional candidates will be considered for 3 months) – Possibility to spread this between internship & Master thesis

Work arrangements: Hybrid and full remote are possible

Requisite: The internship must be mandatory & done in the framework of the curriculum, for which an agreement must be signed between GSK, the student and the Educational Establishment.

Remuneration: According to Belgian legal requirements, the internship will not be paid. However, some expenses will be reimbursed.

Application deadline: We will close this vacancy when we have enough applications, so please apply as soon as you can to be considered.

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, serious work on live projects or assignments. You'll also get to learn from us, develop your skills and gain valuable experience for wherever the future takes you.

What Will You Do?

On our internship program you'll receive tailored on-the-job training from industry experts combined with early responsibility to help you to develop and progress. We offer 3 different types of roles for which your core duties might include:

Data Scientist

• Identify opportunities to apply the Machine Learning & statistical tools to build, test, and validate interpretative & predictive models
• Research, create & deploy your state-of-the-art solutions from multiparametric structured & unstructured data sets to impact our vaccines business
• Connect and collaborate with subject matter experts in biology, chemistry, medicine and commercial activities
• Communicate technical subject matter clearly and concisely to audiences of various backgrounds
• Tech stack: Python, Azure, GIT, Scikit-learn, etc.

AI/ML Engineer

• Assist in AI/ML as a product including model development, evaluation, and deployment to support decision making in a self-service mode
• Investigate & implement state-of-the-art MLOps & DataOps techniques for CI/CD on Edge/Cloud solutions
• Develop Autonomous AI systems based on Industrial AI agents & Digital Twins
• Produce robust & clean code ready for production use and ability to develop generic API
• Develop some front-end interfaces to foster business interaction with models and its monitoring
• Propose and implement architectured solutions that are scalable enough for increasing our efficiencies
• Tech stack: Python, Pytorch, Dash, AzureML, GIT, LangChain, LLM, etc.

GenAI Engineer

• Assist in GenAI Agents development, evaluation, and deployment to support decision making in a self-service mode
• Develop Advanced RAG solution to leverage value generation with GenAI, including GraphRAG and knowledge graphs
• Investigate & implement state-of-the-art AgentOps & LLMOps techniques, including DevOps on the Cloud
• Produce robust & clean code ready for production use and wrap the Agents in generic API for reusable purpose
• Develop front-end interfaces to foster business interaction with Agents and human evaluation (RLHF)
• Fine tune LLM models and validate accuracy and improvement over prompting techniques
• Tech stack: Python, Autogen, LangChain, OpenAI, Azure, Github, HuggingFace, Databricks, FastAPI, etc.

Topics:

• Time Series modeling
• Inventory understanding & optimization (Operation Research)
• Computer Vision MLOPs
• AI software engineering
• Bio-process optimization
• GenAI in Pharma
• Synthetic Data Generation & foundation models
• RAG
• Graphs

Fields:

• Supply chain management
• Manufacturing
• Quality
• Global Engineering
• Digital Twin platform
• GenAI platform

What Are We Looking For?

• Readiness to strengthen scientific knowledge in pharma and technical skills in artificial intelligence & data analytics
• Motivation to be part of the solution for worldwide vaccines-related health issues
• Capability to deliver projects & products in an agile way of working
• Eagerness to discover an international and science-led environment
• Adaptability to change and working under pressure
• Excellent communication skills that help you influence
• Strong problem-solving skills driven by curiosity
• Drive and confidence to trust your own judgment

You'll find hints, tips and guidance on our recruitment process on our website. Learn more about the application process.