Bourse d'études - TotalEnergies - Imperial College London - Prog. Environmental Data Science and Machine Learning MSc (EDSML) M/F

TotalEnergies

11 months ago

Applications closed

Related Jobs

View all jobs

Data Scientist - Hertfordshire, HP2 4YL

Data Science Placement Programme

Senior Climate Data Scientist

Contexte et environnement

Intégrez une équipe dynamique et innovante pour développer vos compétences et contribuer à des projets ambitieux.

Rejoindre TotalEnergies, c’est rejoindre une compagnie multi-énergies mondiale de production et de fourniture de toutes les énergies : pétrole et biocarburants, gaz naturel et gaz verts, renouvelables et électricité.

Activités

Vous êtes étudiant(e) et vous souhaitez intégrer le programme "" au sein de l'Imperial College Londontout en bénéficiant d'une bourse d'études de TotalEnergiespendant la durée de votre scolarité ?

IMPORTANT - Comment postuler :

Si cette bourse d'études vous intéresse,

Merci de déposer votre candidature en répondant à cette offreavant le 30 avril 2025(les candidatures ultérieures à cette date ne seront pas prises en compte).

Veuillez noter que vous devez soumettre une candidaturepour le cours Environmental Data Science and Machine Learning MSc en plus de postuler à cette offre de bourse d'études.

Profil du candidat

Formation :

Vous êtes étudiant(e) en école d'ingénieurs ou Universités : 5 ans d'études ou une première année de Master effectuée après un Bachelor, avec une formation dans le domaine de l'environnement ou du numérique (mathématiques appliquées, programmation).

Expériences :

Un stage dans le domaine numérique et la programmation lié aux énergies est requis.

Des expériences à l'étranger sont appréciées.

Compétences :

Anglais courant : TOEFL 92 au total (minimum 20 dans tous les éléments)

Expérience avérée en matière de codage

Niveau avancé en mathématiques

Compétences dans le domaine de l'environnement / problématiques liées à l'environnement

Modélisation

Informations supplémentaires

TotalEnergies valorise la diversité, promeut le développement individuel et offre des opportunités d'emploi égales à tous les candidats.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Feb 2, 2026

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.