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Internship: genai/ai/ml engineers & data scientists/analysts (master, phd, post-doc), belgium – 2025

Wavre
Stage
Data Scientist
Publiée le 6 octobre
Description de l'offre

Help us get ahead of disease together with our 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:

1. Previous hands on experience in relevant fields is highly recommended shown by cutting edge research experience or internships in startups or top tier companies

2. 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.

Are you looking to gain valuable world work experience and help to positively impact the health of billions of people? Apply for a GSK Internship today!

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

3. Research, create & deploy your state-of-the-art solutions from multiparametric structured & unstructured data sets to impact our vaccines business

4. Connect and collaborate with subject matter experts in biology, chemistry, medicine and commercial activities

5. Communicate technical subject matter clearly and concisely to audiences of various backgrounds

6. Tech stack: Python, Azure, GIT, Scikit-learn, etc.


AI/ML Engineer

7. Assist in AI/ML as a product including model development, evaluation, and deployment to support decision making in a self-service mode

8. Investigate & implement state-of-the-art MLOps & DataOps techniques for CI/CD on Edge/Cloud solutions

9. Develop Autonomous AI systems based on Industrial AI agents & Digital Twins

10. Produce robust & clean code ready for production use and ability to develop generic API

11. Develop some front-end interfaces to foster business interaction with models and its monitoring

12. Propose and implement architectured solutions that are scalable enough for increasing our efficiencies

13. Tech stack: Python, Pytorch, Dash, AzureML, GIT, LangChain, LLM, etc.

GenAI Engineer

14. Assist in GenAI Agents development, evaluation, and deployment to support decision making in a self-service mode

15. Develop Advanced RAG solution to leverage value generation with GenAI, including GraphRAG and knowledge graphs

16. Investigate & implement state-of-the-art AgentOps & LLMOps techniques, including DevOps on the Cloud

17. Produce robust & clean code ready for production use and wrap the Agents in generic API for reusable purpose

18. Develop front-end interfaces to foster business interaction with Agents and human evaluation (RLHF)

19. Fine tune LLM models and validate accuracy and improvement over prompting techniques

20. Tech stack: Python, Autogen, LangChain, OpenAI, Azure, Github, HuggingFace, Databricks, FastAPI, etc.

Topics:

21. Time Series modeling

22. Inventory understanding & optimization (Operation Research)

23. Computer Vision MLOPs

24. AI software engineering

25. Bio-process optimization

26. GenAI in Pharma

27. Synthetic Data Generation & foundation models

28. RAG

29. Graphs


Fields:

30. Supply chain management

31. Manufacturing

32. Quality

33. Global Engineering

34. Digital Twin platform

35. GenAI platform

What are we looking for?

36. Readiness to strengthen scientific knowledge in pharma and technical skills in artificial intelligence & data analytics

37. Motivation to be part of the solution for worldwide vaccines-related health issues

38. Capability to deliver projects & products in an agile way of working

39. Eagerness to discover an international and science-led environment

40. Adaptability to change and working under pressure

41. Excellent communication skills that help you influence

42. Strong problem-solving skills driven by curiosity

43. Drive and confidence to trust your own judgment

Let’s do this!

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

You can learn more about GSK and our careers here

Apply now!


Please email us at and let us know how we can help you.

#Li-GSK

#InternshipBE

If you have a disability and require assistance during the course of the selection process, you will have the opportunity to let us know what specific assistance you require in order to make suitable arrangements.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK.

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Accueil > Emploi > Emploi Informatique > Emploi Data Scientist > Emploi Data Scientist à Wavre > Internship: GenAI/AI/ML Engineers & Data Scientists/Analysts (Master, PhD, Post-Doc), Belgium – 2025

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