At a Glance
- Tasks: Generate actionable insights and support decision-making with data analytics.
- Company: Join ScottishPower, a leader in energy retail, based in Glasgow.
- Benefits: Competitive salary from £52,400, plus excellent benefits and hybrid work options.
- Other info: Permanent role with great opportunities for career growth.
- Why this job: Make a real impact by working with digital product teams on exciting projects.
- Qualifications: Advanced SQL skills and experience with large datasets required.
The predicted salary is between 52400 - 52400 £ per year.
SCOTTISHPOWER ENERGY RETAIL LIMITED is looking for a Data Scientist based at their Glasgow HQ. The role involves working closely with digital product teams to generate actionable insights and support evidence-based decision-making.
The ideal candidate will have advanced SQL skills, experience with large datasets, and a strong understanding of data analytics.
This permanent hybrid role offers a competitive salary starting from £52,400 and various excellent benefits.
Data Scientist – Digital Analytics & Dashboards (Hybrid) in Glasgow employer: SCOTTISHPOWER ENERGY RETAIL LIMITED
At ScottishPower Energy Retail Limited, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our Glasgow HQ offers a vibrant environment where Data Scientists can thrive, with access to continuous professional development and a range of excellent benefits, including a competitive salary and hybrid working options. Join us to make a meaningful impact in the energy sector while enjoying a supportive atmosphere that values your growth and contributions.
Contact Details:
SCOTTISHPOWER ENERGY RETAIL LIMITED Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist – Digital Analytics & Dashboards (Hybrid) in Glasgow
✨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 SCOTTISHPOWER ENERGY RETAIL LIMITED!
✨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 Data Scientist – Digital Analytics & Dashboards (Hybrid) at SCOTTISHPOWER ENERGY RETAIL LIMITED.
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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 SCOTTISHPOWER ENERGY RETAIL LIMITED.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist – Digital Analytics & Dashboards (Hybrid) at SCOTTISHPOWER ENERGY RETAIL LIMITED, 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 Data Scientist – Digital Analytics & Dashboards (Hybrid) in Glasgow
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 SCOTTISHPOWER ENERGY RETAIL LIMITED, 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 SCOTTISHPOWER ENERGY RETAIL LIMITED. 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 SCOTTISHPOWER ENERGY RETAIL LIMITED
✨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 SCOTTISHPOWER ENERGY RETAIL LIMITED!
✨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.
