Infos Santé -> Recrutement de 01 Data Scientist

Recrutement de 01 Data Scientist

Entreprise: TotalEnergies
Niveau d'etude: Non precise
Localité: Suisse / Genève
Date limite: 2025-11-29

Recrutement de 01 Data Scientist
Data Scientist
Pays
Suisse
Ville
GENEVE
Lieu de travail
GENEVE-WTC1(CHE)
Société employeur
TotalEnergies Gas & Power Ltd
Domaine
Stratégie Economie Business
Type de contrat
CDI
Expérience
Minimum 6 ans
Contexte et environnement
TotalEnergies has developed a strong expertise in oil and biofuels, natural gas, LNG, and electricity trading. Trading entities are based in Geneva, Paris, Houston and Singapore. TotalEnergies installed its European trading hub across in Geneva, which now bring together very large teams around trading activities: TotalEnergies Trading & Shipping (T&S) and TotalEnergies Gas and Power (TGP).

TotalEnergies Gas and Power (TGP) is the trading arm of TotalEnergies in the field of low carbon energies. As such, it operates in fast-evolving market dynamics influenced by internal and external factors that require constant adaptation and evolution.
The Trading division in Geneva is responsible for optimising the purchase & sales portfolios of gas, electricity, CO2 emissions, dry bulk, and LNG in all recognised markets worldwide, in compliance with the Company trading guidelines.
In such context, TGP helps to ensure growth and profitability to a key segment of the business in order to reach the objective of Carbon Neutrality by 2050.

Our Culture

We are committed to meet the energy needs of a growing population and we are committed to the energy transition. The volatility of the energy trading markets requires excellence in risk management and a culture of innovation. We are fully embracing the digital revolution.
Our people flourish in an environment that promotes expertise, entrepreneurship spirit, agility and a purpose-driven culture, generating boundless opportunities to learn, grow and achieve collaborative success.
Reinforcing the competencies of our people is a key pillar of our culture: we train our people to ensure their development and we pledge to encourage safety in all our actions.
We look for passion, ambition and open-mindedness. While we evolve in a demanding industry that requests to be always on the edge, we cultivate a friendly workplace where our people feel good, where team spirit and respect guide our daily routine, where the diversity of our people and their skills create a nourishing experience for all of us.
Activités
The team is within the Modelling and Analysis for Trading Strategy (MATS) department, which is responsible for the end-to-end design and development of comprehensive quantitative models, state-of-the-art analytical and AI tools, and research that help optimize trading decisions across all TGP trading desks. Positioned at the strategic interface between Trading, Risk Management and IT, it guarantees the agility, robustness and continuous innovation of the algorithms driving TGP market strategy.



Key responsibilities:

You will be at the forefront of development of scalable, reusable, and intelligent frameworks that contribute to long-term P&L growth, ensuring they are built as maintainable, long-living, production-grade solutions.
You will build extensible frameworks that evolve with business needs and are used across different trading desks.
You will iteratively enhance these frameworks to support rapid feature delivery while minimizing technical debt and ensuring long-term maintainability.
You will provide support to users (data scientists from MATS teams and traders) by leveraging your solid understanding of the tools developed in the team. You will facilitate their work by clearly presenting the features and guiding them to fully utilize the capabilities of the frameworks, ensuring they can maximize their potential.
You will collaborate with key partner teams (e.g. Algo Strategies, Modelling & Analysis) to co-develop specialized tools, ensuring flexibility for researchers while maintaining core architectural standards.
You will work on a variety of different problems related to energy and commodity markets and acquire business knowledge.


Accountabilities

Test and integrate advanced techniques and quantitative algorithms, with a focus on continuous improvement.
Create accompanying applications (such as for interactive visualization and simulations) to facilitate user understanding and interaction with the core frameworks.
Be conscientious of and promote best development practices to ensure quality and robustness of usage.
Contribute to comprehensive documentation to guide users in utilizing our applications effectively.
Frequently communicate with the core teams of MATS and trading desks to ensure solid business knowledge, understanding of trading desk activities, challenges, and pain points.


Profil du candidat
Talented individual with a strong technical or engineering background with a MSc in Computer Science.
A continuous learner with a strong team spirit, always seeking to improve and innovate beyond the status quo. An individual who demonstrates the ability to adapt and successfully collaborate with colleagues from diverse backgrounds and likes proactively sharing acquired knowledge.
3+ years of proven experience in software development and/or maintenance in Python. Must be able to write scalable, well-tested and well-documented code that adheres to best practices and is prepared for future use cases. Experience debugging and safe refactoring legacy code is required.
2+ years of proven experience of working in energy trading with confirmed knowledge of both gas and power markets, ideally across Europe and the US, and ability to develop appropriate algorithms related to those markets (use cases such as backtesting, portfolio optimization, physical and financial assets pricing, dispatch optimization, etc.)
Solid understanding of Data Science, machine learning, deep learning, and algorithmic methods, with demonstrated experience working with a diverse array of algorithms (time series forecasting, constrained optimization, etc.) and in developing quantitative algorithms.
Mindset to design extensible and reusable code according to business needs.
Experience with CI/CD, containerization, databases, and API development.
Experience of building powerful visualization dashboards, that efficiently handle large amounts of data.
Clear and effective communication skills for reporting and collaboration.
Language Skills: Fluent in English.
International experience and demonstrated ability to work in multicultural environments are a strong plus.


Additional and advantageous requirements:

Familiarity with the technical stack: AWS, Spark, Prefect, Flask, REST, GraphQL, SQL, MongoDB, Plotly, Dash
Familiarity with deep learning frameworks: TensorFlow, Pytorch
Informations supplémentaires
TotalEnergies valorise la diversité, promeut le développement individuel et offre des opportunités d'emploi égales à tous les candidats.