Job Specifications
Company Description
Join us to shape the way energy trades in the future
The energy we use to power our daily lives is delivered through pipelines, on ships, via truck and rail, and in wires and batteries. As a leading energy trader, Vitol is at the heart of energy markets worldwide, moving more than 5% of the world's energy, every single day. For 50 years we've challenged the status quo, looking for opportunities to create efficiencies and improve performance, and the recent explosion of data in the industry is just the next step in that journey.
Today's energy markets face new challenges: changes in the way people consume energy, rising economic powers, new technologies, and geo-political shifts are changing the energy landscape, not to mention the COVID-19 pandemic and the beginning of the global energy transition. The Data Science team works closely with the commercial decision makers, using cutting edge machine learning to shape our understanding of the world's energy markets, identify new opportunities and turn data into impactful decision making.
This is an opportunity to join a friendly, entrepreneurial and non-hierarchical environment, in a fun and agile team, and help revolutionize the way data is used within the organization.
About Vitol
Vitol is an energy and commodities company with revenues of $400 billion in 2023; its primary business is the trading and distribution of energy products globally - it trades over seven million barrels per day of crude oil and products and, at any time, has 250 ships transporting its cargoes.
Vitol's clients include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves clients from some 40 offices worldwide and is invested in energy assets globally including 16mm3 of storage, 480kbpd of refining capacity, and 7,000 service stations. To date, we have committed over $2.5 billion of capital to renewable projects, and are identifying and developing low-carbon opportunities around the world.
Who are we?
Our people are our business: the company's value derives ultimately from them. It is on their expertise, innovation, drive and relationships that we depend for the development and growth of our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unfettered by hierarchy.
Our business is global and our people are as diverse as the world in which we work. We have over 60 nationalities among our team - giving us a diversity of thinking which we believe translates into a greater understanding of our customers and better and more informed decisions.
Job Description
As our portfolio of work continues to grow, we are looking for an experienced Machine Learning Engineer to join our data science and machine learning team. The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications. We work across the trading business, operations, and other support functions; so the individual will need to be comfortable working with a variety of stakeholders and technologies.
The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing, exploratory analysis, model selection and tuning, and implementation of production models.
The successful candidate will join a team of experienced, collaborative practitioners, who are (pragmatically) solving some of the most challenging and impactful problems the energy industry is facing; as well as pushing the boundaries around the 'art of the possible'.
Core Responsibilities include:
Being an energetic and enthusiastic member of a team uniquely positioned to bring the power of data to bear on the inner workings of the energy industry
Ability to relate effortlessly with the commercial side of the business, being a thought leader and looking for new ways how AI/DS can create value for Vitol
Leading design, development, and deployment of machine learning systems, bringing their technical knowledge and experience into the team, and using this to create real solutions to real problems.
Prioritization of projects based on changing business conditions and a keen eye for where maximum value can be delivered
Collaborating with cross-functional technology teams to gather requirements and ensure the solutions align with business objectives
Helping integrate the team's solutions (including GenAI) into existing systems and platforms to provide seamless user experiences and scale adoption
Actively participating in code reviews, experiment design and tooling decisions to help drive the team's velocity and quality
Helping build data and machine learning expertise within the business through knowledge sharing
Qualifications
Master's degree in Computer Science, Data Sci
About the Company
We are a leader in the energy sector with a presence across the spectrum; from oil through to power, renewables and carbon credits. Every day we use our expertise to distribute energy around the world. We source from producers, refiners and intermediaries and deliver to refineries, utilities, airlines and retail distribution networks as well as wholesalers and other traders. We manage the physical risk associated with moving energy.
Our business is global: we trade over 7 million barrels per day of crude oil and products an...
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