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 :
1. Be an energetic and enthusiastic team member, uniquely positioned to harness the power of data to transform the inner workings of the commodities industry
2. Gain a deep understanding of Vitol’s core operations and develop creative solutions using data, automation, analytics, models, and optimization to enhance these operations
3. Explore new datasets and external vendor predictions/algorithms, extract meaningful insights, and present results through visualizations to both technical and non-technical stakeholders
4. Work closely with domain experts to design and implement machine learning solutions that are both understandable and usable by non-technical stakeholders
5. Collaborate with the central Data Science team and IT department to leverage existing tools and capabilities to deliver value to the business
Qualifications
6. Degree in Computer Science, Data Science, or equivalent experience
7. Strong foundation in mathematics, statistics, and machine learning or equivalent experience
8. Extensive experience in exploring and extracting insights from heterogeneous multi-dimensional datasets is essential
9. Proficiency in Python with the ability to write clean, modular, well-documented code in a collaborative development environment
10. Experience in visualizing complex data for diverse audiences using tools such as D3.js, Bokeh, Plotly or similar frameworks
11. 5-7 years of industry experience as a data scientist on real-world datasets, is preferred
12. C# development experience is a plus
13. French language skills are an advantage but not required
Additional Information
Personal Characteristics
14. Proven experience in working within an Agile Scrum development model
15. Entrepreneurial mindset with the ability to work independently as well as collaboratively within a team
16. Proactive and user-focused approach, embodying a "make it work" mentality, with a genuine interest in both the functional and technical aspects of challenges encountered
17. Strong communication and interpersonal skills, enabling effective collaboration across diverse teams
18. Fluent in English, with full proficiency in business communication, both verbal and written
19. Passionate about leveraging data science and machine learning to innovate and disrupt traditionally human-centric industries
20. Skilled in deriving, abstracting, and translating value from complex models into actionable insights within a commercial context
21. Resourceful, creative, and adaptable, thriving in fast-paced, results-driven environments
What we offer
22. Large diversity of projects with real-world impacts on a truly global scale
23. Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly
24. Our Geneva office is located very centrally, 5 minutes from the main train station and 1 minute from the lake. The office has a rooftop lunch area, with views over the lake and Alps.
25. We organize regular activities to enable our people to meet colleagues from other teams in an informal setting, and to celebrate special achievements