Energy Data Science & Platform Leader (Hybrid) in Glasgow

Energy Data Science & Platform Leader (Hybrid) in Glasgow

Glasgow Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the strategy and delivery of data platforms for critical decision making.
  • Company: ScottishPower, a leader in energy management and sustainability.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Why this job: Shape the future of energy with innovative data solutions and contribute to Net Zero goals.
  • Qualifications: Experience in data architecture and strong leadership skills.

The predicted salary is between 63000 - 77000 £ per year.

ScottishPower is seeking a Senior Data Science Manager within the Global Energy Management Centre of Excellence. You will shape the strategy, architecture, and delivery of data platforms that enable business-critical decision making, support machine learning capabilities and help drive the journey towards Net Zero.

Reporting to the GEM Centre of Excellence Manager, you will lead data architecture, design, delivery, testing and ongoing development of data solutions, collaborate with stakeholders.

Energy Data Science & Platform Leader (Hybrid) in Glasgow employer: Iberdrola Renewables

SP Energy Networks offers a dynamic and supportive work environment where innovation and collaboration thrive. As part of the Iberdrola Group, employees benefit from extensive professional development opportunities and a commitment to sustainability, making it an ideal place for those looking to make a meaningful impact in the energy sector. Located in the UK, the company fosters a culture of inclusivity and teamwork, ensuring that every team member's contributions are valued and recognised.

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Contact Details:

Iberdrola Renewables Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Energy Data Science & Platform Leader (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 Iberdrola Renewables!

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 Energy Data Science & Platform Leader (Hybrid) at Iberdrola Renewables.

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 Iberdrola Renewables.

Apply Directly through Our Website

When you find a suitable opening like Energy Data Science & Platform Leader (Hybrid) at Iberdrola Renewables, 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 Energy Data Science & Platform Leader (Hybrid) in Glasgow

Communication Skills
Problem-Solving Skills
Python
Data Governance
Data Pipeline Development
SQL
Automation

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 Iberdrola Renewables, 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 Iberdrola Renewables. 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 Iberdrola Renewables

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 Iberdrola Renewables!

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.