Machine Learning, Data Science & Software Development Intern – Geneva, Switzerland | Visa + Salary Insights

📍 Location: eu

🏷 Type: Internship

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Job Overview

TotalEnergies is hiring a Machine Learning, Data Science & Software Development Intern in Geneva, Switzerland, within its energy trading division. This internship offers an opportunity to work on real-world algorithmic trading systems, predictive analytics, and machine learning models that support power market trading decisions. The role is best suited for students pursuing advanced studies in quantitative fields who want exposure to both cutting-edge AI technologies and energy markets. Candidates will collaborate with experienced data scientists, quantitative researchers, and software engineers while contributing to production-grade solutions used by trading teams.

📅 Job Timeline & Status

The role appears to be in an active recruitment cycle with applications currently being accepted. Because no closing date has been disclosed, applicants should treat this as a high-urgency opportunity. Large global employers frequently review internship applications on a rolling basis, meaning strong candidates may be shortlisted before the position officially closes. The combination of machine learning, energy trading, and software development makes this a highly attractive entry-level quantitative role, so early application is strongly recommended.

🌍 Work Eligibility & Location

This position is primarily an Onsite internship based in Geneva, Switzerland. International students and candidates may be eligible depending on work authorization requirements, though visa sponsorship details have not been publicly disclosed. Since English is the primary working language, the opportunity remains accessible to a broad international talent pool. Knowledge of French may provide additional advantages when integrating into local business operations and workplace culture.

💰 Salary Intelligence

Although TotalEnergies has not published compensation figures, Geneva-based internships in quantitative analytics, machine learning, and energy trading frequently command competitive compensation relative to other European internship programs. An estimated range of CHF 3,000–5,500 per month would place this role among the more attractive internships available to students pursuing careers in AI, quantitative finance, or data science. The value extends beyond salary through exposure to high-impact trading systems and enterprise-scale datasets.

📊 Role Breakdown

This internship combines approximately 40% machine learning development, 30% data engineering and feature creation, 20% software engineering, and 10% trading strategy research. Interns will work with large-scale market datasets to identify predictive signals that can improve energy trading decisions. Responsibilities include integrating new datasets, performing feature engineering, developing predictive models using Python, Scikit-learn, XGBoost, and potentially TensorFlow, while validating performance through rigorous backtesting processes.

The role also involves monitoring deployed models and contributing to reusable software frameworks that support traders and quantitative analysts. Candidates will gain exposure to algorithmic trading workflows, portfolio construction methodologies, and risk management principles. Because the team operates within a fast-changing energy environment influenced by market volatility and climate policies, successful interns must demonstrate strong analytical thinking and the ability to transform complex data into actionable insights. Exposure to production systems makes this significantly more valuable than a purely academic research internship.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

While classified as an internship, this opportunity targets candidates with strong quantitative foundations. The hiring bar is likely above average because applicants are expected to understand both software engineering and machine learning concepts. Competition will likely come from Master’s students across Europe and internationally. Candidates with demonstrated experience in Python, machine learning, and real-world projects will have a significant advantage. Overall difficulty should be considered moderate to high despite the 0–2 years experience requirement.

🚀 Career Impact

This internship provides strong exposure to a highly specialized intersection of machine learning, energy trading, and software engineering. Successful completion can strengthen pathways toward Machine Learning Engineer, Quantitative Analyst, Data Scientist, and Algorithmic Trading Researcher positions. Experience gained within a major multinational organization also enhances long-term employability and credibility in competitive AI hiring markets.

📋 Key Responsibilities

Key responsibilities include integrating new datasets into existing analytical pipelines, engineering predictive features, and building machine learning models that support short-term power trading decisions. Interns will train, evaluate, and optimize models using technologies such as Python, Scikit-learn, XGBoost, and TensorFlow. Additional duties involve backtesting trading strategies, assessing model robustness, monitoring production performance, and contributing to portfolio and risk management initiatives. The role also requires collaboration with traders and quantitative teams to transform data-driven insights into practical business applications that support real-world market decisions.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

Current hiring indicators suggest strong recruitment momentum for this internship. The combination of AI, quantitative modeling, and energy trading is attracting increasing interest from students globally. Applicants should consider this a high-urgency application due to likely competition and the absence of a published deadline. Expect strong competition from quantitative Master’s candidates. Interview processes for internships often move quickly once shortlisting begins. Applications may close without notice.

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✅ Job Source & Verification

This job post is based on information published through the official TotalEnergies careers platform, making it a high-credibility source. Job requirements, responsibilities, qualifications, and location details were extracted directly from the employer listing. This posting was last updated and verified on June 8, 2026. Salary estimates and hiring-cycle analysis are informed assessments based on comparable internship opportunities within Switzerland’s quantitative and energy sectors.