Java Programming, Python Programming, SQL, PowerBI, R Programming, Statistical modeling, Data Analysis
The role provides the unique opportunity to combine technical work, developing data science innovation solutions with managing a portfolio of digital projects within the Renewable & Energy Solutions business.
In that way, you will help Shell address the Energy Transition challenge by offering cutting-edge digital solutions to our customers and developing new business models to help them decarbonize.
Where you fit in
The Senior Data Scientist will be working closely with data scientists across the data science community, scientists from the Technology organization and product owners and managers from Renewable and Energy Solutions (R&ES) business and Information & Digital Technology (IDT).
You will actively contribute to projects that include several Shell businesses and technology stakeholders, scope projects based on the business problems, and develop solutions that contribute to Shell’s ambition for Energy Transition.
Based on your stakeholder engagements, you will also contribute to the R&ES data science innovation roadmap, populating the innovation funnel of the technology theme you are supporting and leading the delivery of projects out of it.
What’s the role?
As a Senior Data Scientist, you will be contributing to high-potential, digital innovation projects in the R&ES space, using your in-depth knowledge about data science technology.
The role will be involved in projects throughout their development cycle means and you will be responsible for scoping and framing as well as for the end-to-end modelling approach and model lifecycle. All the work needs to be carried out in natural teams and in a complex stakeholder environment– in line with R&ES business, Digital IT strategy and Technology Innovation roadmaps.
You will thrive on providing a structural approach to the development of early-stage digital products, ensuring best use of available data, mathematical and statistical methods, optimization, and machine learning methods.
More specifically, your role will include:
What we need from you
Your capability to translate a complex business problem into a science problem and your ability to define data science model requirements for novel and R&D technologies will be key for success in this role.
Furthermore, you should have:
Shell plc is a British publicly traded multinational oil and gas company headquartered at Shell Centre in London, United Kingdom. Shell is a public limited company with a primary listing on the London Stock Exchange and secondary listings on Euronext Amsterdam and the New York Stock Exchange.