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 Vitols 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 Vitols 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 :
Degree in Computer Science Data Science or equivalent experienceStrong foundation in mathematics statistics and machine learning or equivalent experienceExtensive experience in exploring and extracting insights from heterogeneous multi-dimensional datasets is essentialProficiency in Python with the ability to write clean modular well-documented code in a collaborative development environmentPreferred but not essential requirements :
Experience with geospacial / location data and analysisExperience building models using common integration patterns (REST GRPC)Exposure to GenAI approaches including design and implementation on MCP endpointsAdditional Information :
Personal Characteristics
Proven experience in working within an Agile Scrum development modelEntrepreneurial mindset with the ability to work independently as well as collaboratively within a teamProactive and user-focused approach embodying a make it work mentality with a genuine interest in both the functional and technical aspects of challenges encounteredStrong communication and interpersonal skills enabling effective collaboration across diverse teamsFluent in English with full proficiency in business communication both verbal and writtenPassionate about leveraging data science and machine learning to innovate and disrupt traditionally human-centric industriesSkilled in deriving abstracting and translating value from complex models into actionable insights within a commercial contextResourceful creative and adaptable thriving in fast-paced results-driven environmentsWhat we offer
Large diversity of projects with real-world impacts on a truly global scaleEntrepreneurial environment within a flat hierarchy where great ideas come to life quicklyOur 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.We organize regular activities to enable our people to meet colleagues from other teams in an informal setting and to celebrate special achievementsRemote Work : No
Employment Type : Full-time
Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Experience : years
Vacancy : 1