At a Glance
- Tasks: Develop and enhance forecasting models for renewable energy trading.
- Company: Join an innovative renewable energy business making a global impact.
- Benefits: Flexible working, competitive salary, and commitment to diversity.
- Other info: Dynamic team culture with opportunities for global collaboration.
- Why this job: Shape the future of energy with cutting-edge analytics and technology.
- Qualifications: Experience in forecasting or predictive modelling, analytical mindset required.
The predicted salary is between 60000 - 68205 £ per year.
Are you passionate about predictive modelling, data science and solving commercially significant problems?
Do you thrive on improving forecasting accuracy using advanced analytics and cutting-edge technology?
We're looking for a talented Forecasting Analyst to join our industry-leading Forecasting team.
This is an opportunity to play a critical role in one of the UK's most innovative renewable energy businesses, where your work will directly influence trading performance, reduce imbalance costs and support the transition to a smarter, cleaner energy system.
Working alongside experienced forecasting specialists and reporting to the Head of Forecasting, you'll develop and enhance the models, data and forecasting capabilities that underpin our electricity trading operations.
You'll have the freedom to innovate, test new approaches and help shape the next generation of forecasting technology.
How will I spend my time?
- Developing, maintaining and enhancing electricity demand and renewable generation forecasting models.
- Continuously improving forecasting accuracy to deliver measurable commercial value.
- Managing the performance of our forecasting systems, ensuring forecasts are timely, reliable and continually refined.
- Designing and validating new forecasting methodologies using scientific testing and robust analytical techniques.
- Identifying valuable new data sources and evaluating their commercial benefit.
- Providing market analysis that supports hedging strategies by exploring the relationship between forecasts, forward markets, system prices and imbalance costs.
- Working closely with Trading, Data and Technology teams to integrate forecasting models into our evolving technology platform.
- Collaborating with forecasting specialists to share knowledge, challenge ideas and drive continuous improvement.
- Representing the Forecasting team internally and externally, contributing to the wider quantitative modelling community.
- Supporting the evolution of our modern cloud-based data and analytics platform.
What skills/experience do I need to be successful?
We're looking for someone with a strong analytical mindset and a genuine passion for forecasting and quantitative modelling.
You’ll ideally have
- Proven experience in a forecasting, quantitative analytics or predictive modelling role.
- Experience within energy markets, or another sector where high-value forecasting is business critical.
- A solid understanding of statistical modelling, model validation and performance evaluation.
What sets us apart?
- Global
Impact: With offices in the UK, US, Spain and Australia, and plans for further expansion, you'll be part of a dynamic, globally-minded team, with opportunities to explore new markets and make a difference on a global scale.
- Flexible
Working: Embrace the freedom to work from anywhere in the world for up to 30 days a year.
We prioritize work-life balance, recognizing that your well-being matters.
Find out more here.
- Commitment to Diversity and
Inclusion: We celebrate our diverse culture and value individuals irrespective of background, disability, religion, gender identity, sexuality, or ethnicity.
Join a team where diversity is not just welcomed but celebrated as a key driver of growth and innovation.
What does hybrid working mean to us?
Hybrid working typically means 2 days in the office location listed on this advert and 3 days working at home each week.
Some occasional travel to our other offices may be required.
We're committed to making the application process easy and comfortable.
Let us know how we can help you with any reasonable adjustments that can be tailored to your needs.
At the bottom of each of our adverts you can find one of our recruitment teams' contact details.
Please reach out so we can discuss with you further.
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Forecasting Analyst employer: SmartestEnergy
Join a forward-thinking company at the forefront of energy trading, where as a Junior Trading Analyst, you'll thrive in a collaborative and inclusive environment that values diversity and innovation. With a commitment to employee growth, you'll have access to cutting-edge data platforms and the opportunity to make a global impact while enjoying a flexible hybrid working model. This role not only offers competitive benefits but also positions you to develop your analytical skills and contribute to meaningful projects that shape the future of energy trading.
StudySmarter Expert Advice🤫
We think this is how you could land Forecasting Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SmartestEnergy!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Forecasting Analyst at SmartestEnergy.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SmartestEnergy.
✨Apply Directly through Our Website
When you find a suitable opening like Forecasting Analyst at SmartestEnergy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Forecasting Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SmartestEnergy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SmartestEnergy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SmartestEnergy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SmartestEnergy!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
