{"id":3325537,"url":"https://alion.io/job/totalenergies-quantitative-development-data-science-intern","title":"Quantitative Development & Data Science Intern","company":{"id":452853,"name":"TotalEnergies","domain":"totalenergies.com","url":"https://alion.io/company/totalenergies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"B","score":76,"open_postings":27,"ghost_share":0.37,"stale_share":0,"repost_share":0.481,"time_to_fill_p50_days":19,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Geneva, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":69000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":829},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-27T09:48:49Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-30T03:03:26Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"As a Quantitative Development & Data Science Intern, you will contribute to the research, development and implementation of quantitative solutions for energy trading.\nYour main responsibilities will include:\nQuantitative Research & Algorithm Development\nResearch and develop quantitative algorithms addressing real-world challenges in electricity, gas and LNG trading.\nExplore optimization techniques for flexible asset dispatch, portfolio optimization, supply-demand matching under constraints and hedging strategies.\nValidate modelling assumptions through data analysis, numerical experiments and backtesting.\nContribute to the implementation of quantitative models into existing or new algorithmic products.\nMachine Learning & Data Science\nResearch and test Machine Learning approaches for time-series forecasting and energy market applications.\nDevelop and evaluate new modules to extend the capabilities of existing AutoML libraries.\nAnalyze datasets, assess model performance and identify opportunities to improve forecasting accuracy and robustness.\nSoftware Development & Collaboration\nDevelop reliable and maintainable Python code for quantitative applications.\nParticipate in code reviews, testing and integration processes to ensure high-quality software solutions.\nWork with quantitative developers, data scientists and trading teams to translate business challenges into practical analytical solutions.\nDevelop your understanding of the fundamentals of power, gas and LNG markets and their operational and commercial dynamics.\nWe 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.\nOur 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.\nReinforcing 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.\nWe look for passion, ambition and open-mindedness. 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