At a Glance
- Tasks: Transform complex energy data into engaging visual stories and collaborate across teams.
- Company: Join Octopus Energy Group, a leader in the energy transition.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on learning and initiative.
- Why this job: Make a real impact on public understanding of energy through innovative visualisation.
- Qualifications: Experience with React, Next.js, and a passion for data storytelling.
The predicted salary is between 63000 - 77000 £ per year.
Octopus Energy Group seeks a Data Visualisation Engineer to join Octopus Tech.
You’ll turn complex energy data into clear stories and collaborate with marketing, policy, and press to shape public understanding of the energy transition.
You’ll own projects end to end, using React and Next. js, Mapbox, Web GL, and Blender for 3D work.
A willingness to learn, communicate, and take initiative is essential in a fast-paced environment.
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Remote Data Visualisation Engineer — Maps & Dashboards employer: Octopus Energy Group
At Octopus Centre for Heating Technology, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture. Located in Portadown, our team enjoys a supportive environment with ample opportunities for professional growth and development, as we lead the charge in sustainable heating solutions. Join us to make a meaningful impact while working alongside passionate individuals dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Visualisation Engineer — Maps & Dashboards
✨Get Involved in Data Science Meetups
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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 Octopus Energy Group.
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When you find a suitable opening like Remote Data Visualisation Engineer — Maps & Dashboards at Octopus Energy Group, 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 Remote Data Visualisation Engineer — Maps & Dashboards
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 Octopus Energy Group, 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 Octopus Energy Group. 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 Octopus Energy Group
✨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 Octopus Energy Group!
✨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.