Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.
Vitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2024 were $331bn.
Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.
Job Description
Collaborate directly with business support and accounting teams to build and support market-focused analytical tools. Analyse ongoing business and user requirements and independently manage various project lifecycles from end-to-end.
Modernize the automation landscape within the team by migrating existing workflows. Implementation of clean, well-documented, tested, and extensible code to satisfy those requirements. Turn user feedback into actionable design improvements and bug fixes. Suggest innovative and reliable technical solutions to the business. Help upskill the desk regarding coding best-practices and ensure mission-critical scripts are adequately productionized.
Qualifications
- Bachelor’s degree or foreign equivalent in Data Science or a related field and 2 years of experience in data engineering. OR Master's degree or foreign equivalent in Data Science or a related field and 1 year of experience in data engineering.
- 2 years of experience (with Bachelor’s) or 1 year of experience (with Master’s) to include:
- Full stack Python development;
- Python libraries for full stack development including Fast API, Plotly Dash, Streamlit, SQLModel & Pydantic
- Relational SQL databases
- Writing SQL queries
- React, HTML5, or JavaScript
- TensorFlow, PyTorch, Spark, Hadoop, scikit-learn, PowerBI, Tableau, or Selenium
- Designing and implementing data pipelines to automate data collection and analytics;
- Building machine learning models to predict commodity pricing using regression and time series analysis.
Comprehensive benefit coverage includes:
- Medical
- Dental
- Vision
- Paid Vacation
- 401k with company contributions
- Life insurance
- Short-term & Long-term disability
All your information will be kept confidential according to EEO guidelines.
Skills Required
- Bachelor's or Master's degree in Data Science or related field with required experience (Bachelor's +2 years or Master's +1 year)
- Full stack Python development experience
- Experience with Python libraries/frameworks: FastAPI, Plotly Dash, Streamlit, SQLModel, Pydantic
- Experience with relational SQL databases
- Ability to write SQL queries
- Experience with front-end technologies: React, HTML5, JavaScript
- Familiarity with ML/Big Data tools: TensorFlow, PyTorch, Spark, Hadoop, scikit-learn, PowerBI, Tableau, or Selenium
- Designing and implementing data pipelines to automate data collection and analytics
- Building machine learning models for commodity pricing using regression and time series analysis
What We Do
Vitol is a global energy and commodities company that trades and distributes energy safely and responsibly, utilizing its logistical expertise and infrastructure network. It operates across the energy spectrum, including oil, gas, power, renewables, and metals.
