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Weather data scientist – energy trading (1-year contract)

Genf
Festanstellung
TotalEnergies
Data Scientist
EUR 90’000 pro Jahr
Inserat online seit: 26 November
Beschreibung

Weather Data Scientist – Energy Trading (1-year contract)

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Contexte et environnement

About Us

TotalEnergies Gas and Power (TGP) 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 in Geneva, which now brings 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. 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 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.

We look for passion, ambition and open‑mindedness. While we evolve in a demanding industry that asks us to stay on the edge, we cultivate a friendly workplace where our people feel good, where team spirit and respect guide our daily routine, and the diversity of our people and their skills creates a nourishing experience for all of us.


Key responsibilities

* Contribute to the existing in‑house suite of short‑ and mid‑term weather‑to‑power models for forecasting wind generation, solar generation and net power demand.
* Contribute to the developments of wind/solar yield models with the ingestion of TotalEnergies assets data.
* Monitor daily the performance of WMA models to continuously assess the models’ skills and propose new developments for improving their scores.
* Develop efficient methods to quickly assess the skills of weather models and quantify their impacts on WMA models for power/gas trading activities.
* Collaborate on projects with hands‑on analysis and modelling to choose the right tool and right level of complexity to reach business objectives.
* Bring new ideas into the development of analytics and impactful visualization tools supporting WMA activities.
* Collaborate with IT and data engineering teams to industrialise models in a Cloud environment.
* Develop and maintain scripts to enable automation and process optimisation.
* Work in close collaboration with power, gas, LNG analysts and traders to extract maximum value from weather information.
* Work with Power trading desks and other stakeholders throughout the organisation to identify, prioritise and structure complex and unique problems where advanced analytics projects or tools can have the biggest impact.


Environment

You will be based on the Geneva trade floor, working in close collaboration with teams in Singapore, Houston, and Paris headquarters. The WMA team brings expertise in weather modelling at different spatial and temporal scales, supporting the growing integration of renewable energies and the fast development of AI weather models. You will operate in a fast‑evolving, high‑impact environment where uncertainties from both trading and the broader energy sector (climate change, energy mix evolution, new energy sources) require constant adaptation and innovation.


Profil du candidat

* Master’s degree or higher in mathematics, physics, meteorology, or a related field.
* Minimum 2–3 years’ experience in a highly quantitative role, ideally in energy trading with strong experience in data processing and analysis.
* Strong interest in weather modelling, forecasts, and datasets applied to energy.
* Proficient in data manipulation using tools such as Python (Pandas, NumPy), SQL, MongoDB or Spark, and understand best practices for data quality and transformation.
* Experience handling large weather model outputs (Grib, Parquet, NetCDF).
* Experience with database technologies (PostgreSQL, MongoDB, S3 bucket) and cloud environments (AWS: S3, EC2, Lambda, Glue, Redshift) strongly appreciated.
* Familiarity with GitHub for version control and collaborative development appreciated.
* Experience with Databricks and Apache Spark is a plus.
* Ability to work autonomously, demonstrate innovation, and thrive in a fast‑paced, deadline‑driven environment.
* Strong communication skills, able to explain complex problems clearly.
* Fluent in English; knowledge of French is an advantage.


Informations supplémentaires

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


Seniority level

Mid‑Senior level


Employment type

Contract


Job function

Engineering and Information Technology


Industries

Oil and Gas

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