Energy Analyst

Energy Analyst

Full-Time 55000 - 65000 £ / year (est.) No home office possible
Oman Shell

At a Glance

  • Tasks: Join us to develop forecasting models and analyse market data for energy trading.
  • Company: Shell, a leader in the energy sector focused on sustainability.
  • Benefits: Competitive salary, flexible working options, and extensive training opportunities.
  • Other info: Diverse and inclusive workplace with excellent career growth potential.
  • Why this job: Make a real impact in the energy transition while growing your skills.
  • Qualifications: Graduate in analytical or science-based discipline; strong programming and data analysis skills required.

The predicted salary is between 55000 - 65000 £ 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.

What you’ll be doing:

  • Support the Power Fundamentals team in building and productionising time series forecasting and optimisation models (stochastic optimisation, dynamic programming, LP/MILP models, etc).
  • Understand the fundamentals of the power market and translate this into a mathematical model.
  • Prepare, process, clean and visualise 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.

What we need from you:

  • 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 visualisation.
  • 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, focusing 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.
  • Experience implementing algorithms and data structures.
  • Good knowledge of linear algebra, calculus, and discrete mathematics.

What we offer:

  • Opportunity to develop skills in an environment where we value honesty, integrity, and respect for one another.
  • Balance your priorities as you become the best version of yourself.
  • Work at the forefront of technology, trends, and practices.
  • Collaborate with experienced colleagues with unique expertise.
  • Benefit from a range of flexible working options.
  • Competitive starting salary and annual performance-related salary increase.
  • 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 through diverse career opportunities in national and international teams.
  • 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: Oman Shell

At Shell, we pride ourselves on being an exceptional employer, offering a dynamic work environment in London where innovation meets sustainability. Our culture fosters collaboration and personal growth, providing employees with access to cutting-edge technology and diverse career opportunities, all while supporting a balanced lifestyle through flexible working options. Join us to be part of a team that values integrity, inclusivity, and the drive to tackle one of the most pressing challenges of our time: the energy transition.
Oman Shell

Contact Detail:

Oman Shell Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Energy Analyst

✨Tip Number 1

Network like a pro! Reach out to people in the energy sector, especially those working at Shell. A friendly chat can open doors and give you insights that might just land you an interview.

✨Tip Number 2

Prepare for that online assessment! Brush up on your data analysis skills and get familiar with the tools mentioned in the job description. Practising with similar assessments can really boost your confidence.

✨Tip Number 3

Show off your passion for the power market! During interviews, share your thoughts on current trends and how they impact forecasting. This will demonstrate your enthusiasm and knowledge about the industry.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Shell.

We think you need these skills to ace Energy Analyst

Data Analysis
Machine Learning
Optimisation
Time Series Forecasting
Python Programming
SQL
Cloud Deployment (Azure/AWS)
Data Visualisation
Statistical Evaluation
Object-Oriented Design
Algorithm Implementation
Linear Algebra
Calculus
Discrete Mathematics
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Energy Analyst role. Highlight relevant experience and skills that match the job description, especially your programming and data analysis expertise.

Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about the energy sector and how your background makes you a great fit for our team. Be genuine and let your enthusiasm shine through!

Showcase Your Technical Skills: Don’t forget to emphasise your technical skills in Python, SQL, and any cloud experience you have. We want to see how you can contribute to our forecasting models and data analysis efforts.

Apply Through Our Website: For the best chance of success, apply directly through our website. This ensures your application gets to the right people and helps us keep track of all candidates efficiently.

How to prepare for a job interview at Oman Shell

✨Know Your Data Inside Out

As an Energy Analyst, you'll be dealing with a lot of data. Make sure you understand the datasets you'll be working with, including power, gas, and weather data. Familiarise yourself with how to clean, process, and visualise this data before the interview, so you can confidently discuss your approach.

✨Brush Up on Your Programming Skills

Since strong programming skills in Python are essential for this role, take some time to review key libraries like Pandas and NumPy. Be prepared to discuss your experience with data analysis and any projects where you've implemented machine learning or optimisation models.

✨Understand the Power Market Fundamentals

The role requires a solid grasp of the power market fundamentals. Do your homework on current trends, challenges, and opportunities in the energy sector. This will not only help you answer questions but also show your enthusiasm for the field.

✨Prepare for Technical Questions

Expect technical questions related to statistical evaluation, model deployment, and cloud architecture. Review concepts like algorithmic complexity and parallelism. Practising these topics will help you articulate your thought process during the interview.

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