Data Scientist

Company Description

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 2023 were $400bn.

For more information :  vitol.com

Job Description

This Data Science position is embedded within the Analytics Team, which plays a pivotal role in developing tools and analyses that drive the day-to-day operations of Vitol. The successful candidate will leverage data science and machine learning to revolutionize how Vitol tracks and anticipates commodity movements across the globe.

While regular collaboration with the central Data Science team is expected, this role is uniquely positioned within the team of developers and analysts focused on vessel and cargo flows. This setup fosters knowledge exchange, process improvements, and regular interaction with various business units that depend on these analyses.

The ideal candidate will have a hands-on approach, ready to dive deep into data, build models, create visualizations, and deliver actionable insights as needed. They will thrive in a fast-paced environment and be motivated by seeing their work have an immediate impact on Vitol’s operations.

Key Responsabilities :

• Be an energetic and enthusiastic team member, uniquely positioned to harness the power of data to transform the inner workings of the commodities industry
• Gain a deep understanding of Vitol’s core operations and develop creative solutions using data, automation, analytics, models, and optimization to enhance these operations
• Explore new datasets and external vendor predictions / algorithms, extract meaningful insights, and present results through visualizations to both technical and non-technical stakeholders
• Work closely with domain experts to design and implement machine learning solutions that are both understandable and usable by non-technical stakeholders
• Collaborate with the central Data Science team and IT department to leverage existing tools and capabilities to deliver value to the business

Qualifications

Additional Information

Personal Characteristics

What we offer