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TotalEnergies

TotalEnergies

www.totalenergies.com

10 Jobs

74,797 Employees

About the Company

Have you ever thought of offering your skills and expertise to a multinational company?

Give your best to better energy and make the commitment with TotalEnergies. With over 500-plus professions in 130 countries, we offer high safety and environmental standards, strong ethical values, an innovation culture and wide-ranging career development. Be part of the global team whose mission is already shared by 105,000 employees : to be a world-class player in the energy transition

Listed Jobs

Company background Company brand
Company Name
TotalEnergies
Job Title
STAGE - ML/IA Mapping - H/F
Job Description
**Job Title:** ML/IA Mapping Internship **Role Summary** Six-month internship for a candidate to join a Data Sciences team and apply machine learning/IA to extend well-scale results to 3D seismic data at the Congo Basin scale. **Expectations** - Develop workflows to harmonize and manage diverse datasets. - Produce 3D maps of source rock and reservoir presence/quality using machine learning. - Bridge the link between well data and 2D/3D seismic data at regional scales. - Collaborate with expert teams and a professional tutor to gain independence. **Key Responsibilities** - Construct and optimize machine learning workflows for large geological datasets. - Analyze over 1,000 wells and 30+ 3D seismic blocks to model subsurface properties. - Translate technical findings into clear presentations and reports for multidisciplinary teams. **Required Skills** - Proficiency in Python, Power BI, and Microsoft Office (Excel, Word, PowerPoint). - Foundational knowledge of data science and geology. - Strong written and verbal communication skills in English. - Initiative, autonomy, and teamwork in a cross-functional environment. **Required Education & Certifications** - Pursuing a Master’s or engineering degree in Geosciences/data science. - No certifications specified.
Pau, France
On site
08-11-2025
Company background Company brand
Company Name
TotalEnergies
Job Title
Chef de Projet Data F/H
Job Description
Job title: Data Project Manager (F/M) Role Summary: Lead end‑to‑end data projects across multiple business units, coordinating internal IT, business stakeholders, and third‑party vendors within an Agile framework while ensuring adherence to budget, schedule, security, and architectural standards. Expectations: - Manage multiple concurrent data initiatives in a global industrial environment. - Deliver high‑quality solutions that meet functional and technical specifications. - Proactively identify and mitigate risks, track progress, and communicate status to stakeholders. Key Responsibilities: - Define project scope, objectives, and success criteria in collaboration with business owners. - Formulate comprehensive requirements, prioritize deliverables, and maintain a product backlog. - Coordinate resources (technical, business, external contractors) and oversee workload distribution. - Plan and control project schedules, budgets, and resource allocation. - Lead risk assessment and issue resolution activities. - Facilitate Agile ceremonies (sprints, stand‑ups, retrospectives, planning meetings). - Conduct technical and functional acceptance testing; oversee production deployment. - Maintain governance dashboards, steering committee reports, and project documentation. - Advise on and enforce data governance, security standards, and master data management principles. - Contribute to roadmap development and continuous improvement initiatives. Required Skills: - Advanced SQL and data modeling expertise. - Proficiency with Microsoft SQL Server stack (Databases, SSAS, SSIS, MDS). - Strong Power BI data‑visualization skills (Cognos Analytics knowledge a bonus). - Familiarity with Azure data services (e.g., Data Lake) beneficial. - Experience with Agile project management tools (Scrum, Jira, Azure DevOps). - Analytical mindset with business acumen in finance, procurement, or HR domains. - Ability to translate business requirements into technical specifications. - Effective stakeholder communication and workshop facilitation. - Understanding of cybersecurity and data architecture principles. Required Education & Certifications: - Bachelor’s or Master’s degree in Engineering, Computer Science, Information Systems, or equivalent. - Minimum 5 years of proven data project management experience, preferably in an industrial or international setting. - Technical fluency in English (written and spoken). ---
Levallois-perret, France
On site
Mid level
09-11-2025
Company background Company brand
Company Name
TotalEnergies
Job Title
Stage - Data analyst – Pricing & Développement Réseau Stations - AS 24
Job Description
Job Title: Data Analyst Intern – Pricing & Network Development Role Summary: Supports the development of pricing strategies and network optimization for a European fuel station network, integrating innovation and customer-centric approaches. Expectations: Bachelor's/Master's degree in Business, Economics, or Engineering with focus on data analysis; interest in energy sector and business development. Key Responsibilities: - Develop and test new features for site reference tools to enhance user experience. - Analyze user feedback and propose improvements for pricing, reporting tools, and operational processes. - Collaborate with IT to ensure data accuracy and availability for reports/dashboarding (e.g., Power BI). - Update procedural documents, templates, and strategic materials to support network expansion. - Assist in network analysis (saturation studies, post-project evaluations) and competitive insights. - Prepare reporting dashboards, update monthly reports, and coordinate cross-functional project teams. Required Skills: - Advanced data analysis using Power BI, Excel, and database query tools. - Strong organizational skills for documentation and multi-project management. - Proficiency in English (written/verbal) for intercompany collaboration. - Analytical problem-solving with attention to detail in complex datasets. - Communication skills to translate data insights into actionable recommendations. Required Education & Certifications: - Bachelor's or Master's degree in Business, Engineering, Economics, or Mathematics. - Proficiency in Microsoft Office Suite. - Fluency in English; basic knowledge of French (contextual relevance). - Familiarity with data visualization and reporting tools (e.g., Power BI, SQL).
Saint-herblain, France
On site
09-11-2025
Company background Company brand
Company Name
TotalEnergies
Job Title
STAGE - Descente échelle statistiques/IA énergie solaire - H/F
Job Description
**Job Title** Internship – Statistical and AI Downscaling for Solar Energy (M/F) **Role Summary** Conduct a comparative study of statistical (CDF‑t) and AI‑based (Vision Transformer) downscaling techniques to produce high‑resolution climate projections for solar energy assessment. Collaborate with a research centre to implement, evaluate, and document the methods for temperature and solar radiation datasets. **Expectations** - Complete a 6‑month, end‑of‑study internship starting February 2026. - Publish findings in a concise technical report suitable for academic or industry review. - Demonstrate proficiency in Python, climate data handling, and deep‑learning libraries. **Key Responsibilities** 1. Implement CDF‑t downscaling on climate model outputs for temperature and solar irradiance. 2. Develop a Vision Transformer (ViT) model in TensorFlow/PyTorch for the same task. 3. Apply both methods to selected high‑solar‑potential regions. 4. Evaluate performance using bias, RMSE, correlation, and solar‑energy specific indicators (e.g., irradiance variability). 5. Investigate interpretability and computational efficiency of each approach. 6. Compile results and methodological insights into a structured report. 7. Participate in weekly progress meetings with senior researchers and a tutor‑coach. **Required Skills** - Strong programming in Python. - Experience with climate data formats (NetCDF, GRIB) and libraries (xarray, netCDF4, scipy). - Familiarity with statistical downscaling (quantile‑mapping, CDF‑t). - Knowledge of deep‑learning architectures, particularly Vision Transformers. - Proficiency in TensorFlow or PyTorch. - Ability to run performance diagnostics (bias, RMSE, correlation) and interpret results. - Good written communication for technical reporting. **Required Education & Certifications** - Current enrolment in an engineering, applied mathematics, climate science, or data‑science master’s program. - Expected graduation or diploma within the internship period. - Certifications in data analytics or machine learning are advantageous but not mandatory.
Palaiseau, France
On site
10-11-2025