Java Programming, Python Programming, SQL, PowerBI, NumPy, Pandas, Scikit-learn, GANs, R Programming, PyMC3
statistical We have an exciting opportunity for a Weather and Climate Data Scientist to join Shell’s Data Science organization. Be part of a team focused on developing end-to-end process maintenance solutions and contribute to delivering value for our customers, and for Shell.
Where you fit
Shell is a global group of energy and petrochemicals companies, with approximately 90,000 employees in more than 80 countries and territories. Shell helps to meet the world's growing demand for energy in economically, environmentally, and socially responsible ways.
In this role, you will be part of the Industrial Data Science team for weather and climate applications for Renewable Energy Solutions within the Data Science Centre of Excellence at Shell. You will join an existing team working on a forecasting engine dealing with structured and un-structured data. You have an option to either work virtually, or co-located with the team in London, working closely with our internal customers, using the lean start-up approach and ScrumBan to accelerate the development of the solution.
What’s the role?
As Weather and Climate Data Scientist, you will be responsible for developing and delivering data science solutions in an agile fashion to the business, to provide insights & improvement to business processes, or support the creation of innovative new business domains. You are expected to have a good understanding of both data-driven empirical models and process-driven physical models. Ability to work with large physical models representing atmospheric processes written in Fortran code, to understand, modify and predict complex natural phenomena, using the state-of-the-art tools are essential to the role.
In addition, you will play a crucial role in designing and building weather and climate database to support business decision making. You will manage large amounts of data; merge data sources; ensure consistency of datasets; create visualizations to aid in understanding data; build machine learning models using the data; and present and communicate the data insights/findings and produce and present results with dashboards.
Further Responsibilities are as follows:
What we need from you
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.