Explore a connected marketplace
We connect data, markets and customers to create a comprehensive, trusted view of the global commodities markets. For our customers, the intelligence we provide is empowering, which as a result influences thousands of decisions across supply chains every single day. We believe the right culture has the same effect. Our culture empowers our people, giving them the confidence and inspiration they need to achieve their aspirations, thrive on innovation and explore more.
Data Scientist (Gas & LNG)
As a data scientist in our gas & LNG Team, you will be involved in producing and communicating analysis to serve customers in the global energy industry. You will develop and maintain predictive analytic models designed to help customers navigate the conditions in the dynamic natural gas & LNG markets. You will join a large team of independent analysts providing market participants with unparalleled insight into natural gas & LNG markets.
We are looking for an experienced modeller who has a proven track record of successfully maintaining and developing complex modelling in a Python-coded environment. We work in a dynamic, project-oriented setting, which allows space for innovation and guarantees high individual responsibility and project ownership. You will shape our natural gas & LNG modelling expertise as well as a range of modelling experience across the wider energy nexus.
As part of your role, you will be developing and running innovative analysis approaches and models. Combining data and the latest forecasting technology is the basis for our competitive advantage. As of day one, you will be tasked with challenging analytics projects and be in contact with customers and prospects across the global energy landscape. You will develop team leadership skills as part of an international and diverse team, which requires occasional travel within the EU and potentially inter-continental.
Main accountabilities/responsibilities
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Develop and productionise data-driven, quantitative energy market models to predict market variables (fundamental, regression, agent-based, neural networks and multi-stage optimisation models)
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Structure, coordinate and integrate the quantitative analysis of natural gas & LNG markets across the company
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Take ownership of parts of the development backlog: continuously improve our existing products and services
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Take responsibility for live operations and maintenance
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Write analytical reports and presentations both for internal stakeholders and customers
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Passionate about learning new techniques (e.g. machine learning) and applying them to existing problems
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Supervise and instruct new students and team members
Key skills required
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Previous relevant professional experience in the energy sector, preferably in a trading arm of a utility, oil & gas company, consultancy or analytics provider
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Understanding of our customers in energy trading and investment as well as the trends in natural gas & LNG markets
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Excellent listening and social skills, able to communicate clearly, empathic and concisely with a wide range of people at different levels
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Excellent programming skills in Python; SQL and database systems knowledge; expertise in optimisation model systems like GAMS; experience with versioning systems like Git; object-oriented programming like Java advantageous
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Experience and affinity to energy markets, optimisation problems and econometric modelling
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Analytical mindset, critical thinking, and ability to build profound knowledge in complex markets
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Excellent team and people development skills
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Ability to work in a fast-paced, deadline-driven environment
We offer
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A vibrant working environment in a dynamic, inclusive, ambitious and committed team
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Exposure to key market players in the global energy markets
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Personal development opportunities working for the global provider of energy analytics
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Flexibility, loyalty, empowerment and trust as part of our corporate culture
#LI-AL1 #LI-Hybrid
At Lexis Nexis Risk Solutions Group having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 35 diversity employee networks globally and prioritise ensuring inclusive leadership is part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
We encourage applicants and employees to tell us about any health issues they may have to allow us to put in place reasonable adjustments that may support applicants in the application process and support employees to succeed in their role.
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