At a Glance
- Tasks: Develop Python models and analyse data to forecast energy needs.
- Company: Join E.ON UK, a leader in the energy sector with a focus on innovation.
- Benefits: Competitive salary, hybrid working, and excellent employee benefits.
- Other info: Flexible working options available to suit your lifestyle.
- Why this job: Make a real impact in energy forecasting while developing your skills.
- Qualifications: Degree in a relevant subject and strong coding skills required.
The predicted salary is between 37659 - 50250 £ per year.
We're looking for a Volume Forecasting Developer to join our team.
Here's what you'll be doing:
- Salary - £37,659 - £50,250 plus excellent employee benefits
- Location - Solihull (Hybrid working)
- Fixed term - 12 months
Join E.ON UK and Shape the Future of Energy Forecasting! Are you a skilled and detail-oriented professional with a passion for Python development and data analysis? E.ON UK is looking for a talented individual to join our Volume Forecasting team in a critical analytical role.
In this position, you will be supporting the Volume Forecasting team in Python model development, data analysis and operational forecasting tasks. This pivotal position will enable the team to move forward technically and will include a wide range of technical tasks. You will also be using analytical tools and methodologies to provide accurate and insightful projections essential for effective business planning and decision-making.
Main responsibilities of the role:
- Working on model developments in Databricks (Python) contributing to the re-platforming work across Volume Forecasting.
- Demonstrating an aptitude for problem solving, innovation and high attention to detail.
- Using quantitative and qualitative techniques to provide high quality, accurate volume forecasts of the future energy requirements of E.ON UK’s customers, from which forward energy wholesale purchases are transacted.
- Utilising robust analytical methods to generate results from inputs, while challenging and reviewing methodologies to continually improve forecasting performance.
- Demonstrate great stakeholder management; requiring a strong capability for prioritising and promoting change to meet challenging timescales, while maintaining quality and flexibility for customers.
- Building strong relationships across E.ON Energy Markets, commercial services and the wider E.ON group, actively supporting team development.
- Using operational excellence to drive a culture of continuous improvement.
- Contributing to ad hoc projects, as requested, supporting the wider business through use of modelling and analytical techniques to implement solutions to commercial challenges facing the business.
What we need from you:
- Highly numerate with degree or equivalent in a relevant subject.
- Strong coding skills with the ability to design and maintain.
- The ability to assimilate information quickly.
- Strong commercial analysis skills with good attention to detail.
- Ability to identify and work with imperfect/incomplete information and to use appropriate business rules and/or statistical/risk modelling techniques to manage uncertainty.
- Informal presentation skills and an ability to put across complex concepts clearly.
- Good interpersonal skills and the ability to influence and interface effectively with people from all levels and parts of the organisation.
It would be great if you have:
- An understanding of forecasting processes & techniques.
- An understanding of the energy industry.
We’re committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we’re happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share and variable start and finishing times.
Volume Forecasting Developer in Solihull employer: E.ON
E.ON is an exceptional employer, offering a dynamic work environment in the heart of Central London where you can thrive as an Energy Centre Engineer. With a strong focus on employee growth and development, we provide comprehensive training opportunities and a supportive culture that values safety and innovation. Enjoy competitive benefits including a company van, London allowance, and standby retainer, all while contributing to a reliable energy supply for our community.
StudySmarter Expert Advice🤫
We think this is how you could land Volume Forecasting Developer in Solihull
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We think you need these skills to ace Volume Forecasting Developer in Solihull
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!
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Craft a Tailored Cover Letter:For a full-time role at E.ON, 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 E.ON. 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 E.ON
✨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!
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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 E.ON!
✨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.
