At a Glance
- Tasks: Analyse data to drive insights and support digital decision-making.
- Company: Join ScottishPower, a leader in renewable energy and innovation.
- Benefits: Enjoy 36 days annual leave, competitive salary, and flexible working options.
- Other info: Be part of a diverse team committed to sustainability and career growth.
- Why this job: Make a real impact on the future of energy while developing your skills.
- Qualifications: Degree or equivalent experience in data science, strong SQL, and dashboard building.
The predicted salary is between 52400 - 52400 £ per year.
Help us create a better future, quicker. The Data Scientist acts as an embedded analytical partner within Digital product teams, serving as the data champion for their assigned domain(s). The role is accountable for delivering high-quality insights, owning KPIs and dashboards, and enabling evidence-based decision-making across Digital initiatives.
While working closely with product, engineering and leadership teams on day-to-day delivery, the role operates within central Data & Analytics standards, governance, and tooling to ensure consistency, quality, and scalability across Digital. This is a permanent role with long-term ownership of metrics, insight capability, and analytical maturity within Digital.
What you’ll be doing
- Insight & Analysis
- Analyse customer journeys, behaviours, funnels, and operational performance to generate actionable insights that influence Digital decision-making.
- Lead deep-dive analyses on priority Digital problems, translating findings into clear recommendations.
- KPI & Dashboard Ownership
- Build, maintain, and own Power BI dashboards used by Digital stakeholders.
- Define and maintain KPI logic, metric definitions, and documentation to ensure clarity and consistency.
- Experimentation & Measurement
- Design and analyse experiments (e.g. A/B tests, phased rollouts).
- Define success metrics and provide clear performance assessments and recommendations.
- Stakeholder Partnership
- Act as the first point of contact for analytical requests within assigned Digital areas.
- Work closely with Product owners, BAs, and engineering to shape priorities using data.
- Data Quality & Governance
- Ensure data hygiene, consistent taxonomy, and adherence to Digital and central Data & Analytics standards.
- Proactively identify and resolve data quality issues impacting insight or reporting.
What you'll bring
- Degree in related field or equivalent practical experience.
- Advanced SQL skills with the ability to work with large, complex datasets.
- Proven experience building dashboards to support business decision-making.
- Experience working with digital analytics data.
- Data Science skillset (Python for analysis, fundamental Machine Learning concepts) for deeper analysis or automation.
- Familiarity with experimentation frameworks and measurement.
- Experience working in a product-led or agile Digital environment.
- Ability to operate effectively in an environment with changing priorities and incomplete information.
Minimum Criteria
- Strong Advanced SQL capability.
- Proven experience developing dashboards for business users.
- Experience working with large scale analytics data (e.g. GA4, web or app event data).
- Strong analytical thinking with the ability to turn data into clear, actionable insight.
- Confident communicator, able to influence non-technical stakeholders.
What’s in it for you
As well as a competitive salary which is reviewed annually, you can also enjoy a number of other benefits. With our pension scheme, we’ll double match your contribution up to a company contribution of 10%. At ScottishPower, we believe it’s the little things we do in life that make a big difference. From helping you look after your family’s wellbeing, save for your future and take personal steps for climate action – our benefits are designed to help you do just that - so that you have everything you need to take care of your world – today and tomorrow.
That’s why our benefits include:
- 36 days annual leave.
- Holiday purchase – perfect your work/life balance with extra annual leave.
- Share Incentive Plan and Sharesave Scheme.
- Payroll giving and charity matched funding.
- Technology Vouchers – save more and spread the cost of your technology purchases.
- Count us in – pledge to reduce carbon emissions and help fight climate change.
- Electric Vehicle Schemes – to help you transition to green/clean driving.
- Cycle to Work scheme and public transport season ticket loans.
- Options to purchase dental insurance, private medical insurance, health cash plan and annual health assessments.
- Access to ‘nudge’ financial wellbeing support.
- Plus shopping, leisure, restaurant and gym discounts, and unique employee deals on travel insurance and more.
Why ScottishPower
ScottishPower is part of the Iberdrola Group, one of the world’s largest integrated utility companies and a world leader in wind energy. With a commitment to generate all of our energy from renewable resources and a drive to create the energy infrastructure of the future, we’re at the forefront of the journey to Net Zero and investing over £6m every working day to make this happen. With diverse opportunities across our businesses and a commitment to invest in our own internal talent, ScottishPower can offer people real career opportunities that meet personal and professional goals, in a global organisation.
Inclusion, diversity, and a social purpose are at the heart of everything we do. Together with our values, they bring us together into a stronger, more sustainable business with direct links to the communities we serve. It takes all kinds of people to build a large-scale business like ours, so whatever your background, you’ll fit right in.
ScottishPower is committed to providing reasonable support or adjustments in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to careers@scottishpower.com.
Mobility
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. If/when required, the Company will support the employee with the necessary Immigration requirements.
IMPORTANT Advert will close at 23:59 GMT the day before Job Posting End Date below June-24-2026.
Data Scientist in Glasgow employer: Iberdrola
ScottishPower is an exceptional employer, offering a competitive salary starting from £52,400 along with a generous benefits package that includes 36 days of annual leave, a double-matched pension scheme, and various wellness initiatives. With a strong commitment to employee growth and a culture that values diversity and inclusion, you will have the opportunity to thrive in a dynamic environment while contributing to the vital mission of achieving Net Zero through renewable energy solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist 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!
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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 Iberdrola.
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We think you need these skills to ace Data Scientist 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 Iberdrola, 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. 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
✨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!
✨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.
