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Shell

Energy Analyst

London
Posted about 9 hours ago
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What’s The Role

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, optimisation.

What You’ll Be Doing

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 working 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 kind of power, gas, and weather data sets to establish a basis of further analysis.
  • Develop, analyse, and conduct different approaches to forecasts 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 use 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 to the conception and development of a computational environment which enable 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 infrastructures projects done by teams of high technical people in IT and modelling.

What We Need From You

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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 of cloud architecture, with a focus in 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 acceptation 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.

After you submit your application, you will receive an email from Shell providing a link to an online assessment (HireVue) that is a mandatory part of the process and has a validity period – please check your spam/junk mailbox if you do not see the email. Once completed, your application will be reviewed to determine next steps. Thank you for your interest in Shell.

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 – our pay and benefits packages are considered to be among the best in the world.
  • 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. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.
  • Grow as you progress through diverse career opportunities in national and international teams.
  • Gain access to a wide range of training and development programmes.

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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 (e.g. assistive technology, communication support, or other) during the application or interview process, please let us know when prompted in your application. We strive to ensure that our process and workplace is accessible to everyone and are dedicated to making reasonable adjustments to support your needs.

Shell in The United Kingdom

Shell UK remains one of the North Sea’s biggest producers, supplying around 10% of the UK’s total oil and gas needs. But perhaps the most recognisable face of Shell in the UK is our network of over 1,000 Shell-branded service stations.

In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.

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Skills

Python
SQL
Machine Learning
Time Series Forecasting
Stochastic Optimisation
Azure
AWS
Pandas
NumPy
SciPy
Scikit-learn
Kubernetes
Kafka
Object-Oriented Design
Data Visualization
Linear Algebra

Location

London, England, United Kingdom

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