At a Glance
- Tasks: Join our team to develop forecasting models for the energy market using cutting-edge data science techniques.
- Company: Shell, a leading energy company committed to sustainability and innovation.
- Benefits: Competitive salary, flexible working options, and extensive training opportunities.
- Other info: Diverse and inclusive workplace with opportunities for career growth and development.
- Why this job: Make a real impact on the energy transition while growing your skills in a dynamic environment.
- Qualifications: Graduate degree in a relevant field and strong programming skills in Python and SQL.
The predicted salary is between 56250 - 68750 £ per year.
Shell Energy Europe & Environmental Products is seeking a Data Scientist to work within the Market Analysis team to develop and improve our forecasting models. Accurate forecasting of market fundamentals is critical to improved decision making on the trading desk. The analysis team develop and run a wide range of forecasts, using different methods such as machine learning and optimisation.
Shell Energy Europe is looking to hire a data scientist to support the Power Fundamentals team in building and productionising time series forecasting and optimisation models (stochastic optimisation, dynamic programming, LP/MILP models, etc). This person will have an enthusiasm to learn the inner workings of the power market by working in close collaboration with domain experts. They must be able to understand the fundamentals of the power market and translate this into a mathematical model. This requires taking a pragmatic approach to model development, starting with a simple model, and iteratively adding complexity – driven by adding business value in a high-pace environment. This person must be a strong programmer, who is confident in productionising models in the cloud (Azure/AWS) and is comfortable in designing and implementing data ingestion and model deployment pipelines.
Responsibilities:
- Prepare, process, clean and visualize various kinds of power, gas, and weather data sets to establish a basis for further analysis.
- Develop, analyse, and conduct different approaches to forecast different variables (Demand, wind, solar, prices).
- Statistical evaluation and validation of different types of forecasts.
- Build the framework to deploy models in production that will be used every day for trading decisions.
- Share this framework with the rest of the team to increase the performance of the rest of the team developments.
- Participate in the conception and development of a computational environment which enables scalability and high computational power.
- Develop in-house optimisation models (stack models, dispatch models).
- Bring new ideas of models to improve the desk P&L.
- Delegate and lead some models and infrastructure projects done by teams of high technical people in IT and modelling.
Your technical skills and experience:
- Have a graduate qualification in an analytical or science-based discipline e.g., engineering/maths/computer science and ideally a PhD in machine learning, optimisation or equivalent.
- End-to-end experience with data, including querying, aggregation, analysis, and visualization.
- Strong competencies in Python for data analysis using the Python data science libraries (Pandas/NumPy/Scipy/Scikit-learn).
- Strong SQL skills for data retrieval, basic analysis, and data cleansing.
- Strong knowledge and application of object-oriented design and software best practices in Python.
- Familiarity with cloud architecture, with a focus on deploying and hosting applications in a cloud environment.
- Self-starter who is commercially aware and value focused.
- Able to work with minimal supervision and guidance.
- Good communication skills to present new developments and facilitate acceptance by the team and the traders.
Ideally you would be proficient in a good selection of the following:
- Algorithmic complexity theory.
- Parallelism & Concurrency.
- Experience with messaging and/or data streaming technologies such as Kafka, ActiveMQ, Azure Service Bus, and Azure Event Hubs.
- Experience in containerising models and deploying in Kubernetes.
- Have experience implementing algorithms and data structures.
- Have a good knowledge of linear algebra, calculus, and discrete mathematics.
What we offer:
- You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet.
- You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another.
- You’ll be able to balance your priorities as you become the best version of yourself.
- Progress as a person as we work on the energy transition together.
- Continuously grow the transferable skills you need to get ahead.
- Work at the forefront of technology, trends, and practices.
- Collaborate with experienced colleagues with unique expertise.
- Achieve your balance in a values-led culture that encourages you to be the best version of yourself.
- Benefit from a range of flexible working options.
- Perform at your best with a competitive starting salary and annual performance-related salary increase.
- Take advantage of paid parental leave, including for non-birthing parents.
- Join an organisation working to become one of the most diverse and inclusive in the world.
- Grow as you progress through diverse career opportunities in national and international teams.
- Gain access to a wide range of training and development programmes.
We are committed to attracting a broader and more diverse pool of candidates. If this position doesn't feel like the perfect fit for your qualifications right now, we'd still love to hear from you. Shell is working to advance an inclusive, psychologically safe and accessible environment where people with disabilities can excel. If you require any accommodations or accessibility adjustments during the application or interview process, please let us know when prompted in your application.
Energy Analyst employer: jobr.pro
At jobr.pro, we pride ourselves on being an excellent employer by fostering a flexible and culturally diverse work environment in Exeter. Our commitment to personal development ensures that employees have ample opportunities for growth while enjoying attractive benefits, making it a rewarding place to advance your career in the transport infrastructure sector.
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We think this is how you could land Energy Analyst
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We think you need these skills to ace Energy Analyst
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