At a Glance
- Tasks: Shape and deliver data-driven solutions for trading and decision-making in Energy Markets.
- Company: Join SSE, a leader in the energy transition with a focus on innovation.
- Benefits: Competitive salary, flexible working, health perks, and family support.
- Other info: Inclusive workplace with excellent career growth opportunities and support for all backgrounds.
- Why this job: Make a real impact by developing tools that enhance operational efficiency and decision-making.
- Qualifications: Strong Python, SQL skills, and experience with data platforms like Databricks and Azure.
The predicted salary is between 42600 - 64000 £ per year.
Base Location: You'll be expected to spend 50% of your working week in one of the following locations: Glasgow, Perth, Edinburgh or Reading.
Salary: £42,600- £64,000 + performance-related bonus + a range of benefits to support your finances, wellbeing and family.
Working Pattern: Permanent | Full Time | Flexible First options available.
The role: As a Data Scientist / Solution Developer within Energy Markets, you will play an important role in shaping and delivering data-driven solutions that support trading and commercial decision-making. Working closely with Data Scientists, Engineers, and Traders, you will help design, build, and continuously improve tools, data pipelines, and models that enable teams to work more effectively with data. You will collaborate across a wide network of colleagues, including Data Management teams responsible for governance and security, business stakeholders leading key initiatives, and IT partners supporting delivery into production environments. Together, you will help ensure solutions are reliable, scalable, and aligned with wider organisational priorities. This role focuses on Python development using the Databricks and Streamlit platforms to build practical, user-focused tools that improve operational efficiency and support better decision-making. You will contribute both technically and collaboratively, helping translate complex data into solutions that colleagues across Energy Markets can confidently use.
You have:
- Strong programming and data-engineering experience, including Python/PySpark and SQL.
- Experience working with platforms such as Databricks, Azure, Streamlit, or similar data and analytics technologies.
- Proven capability in technical computing, analysis, design, and development, with a thoughtful approach to building reliable and maintainable solutions.
- Curiosity and enthusiasm for solving complex problems, supported by strong quantitative and analytical skills and a willingness to explore creative approaches.
- Experience designing, building, and supporting analytics solutions using Azure cloud technologies.
About SSE: SSE’s purpose is to provide energy needed today while building a better world of energy for tomorrow. We do this by developing, building, operating and investing in electricity infrastructure and businesses needed in the energy transition. Our Transforming for Growth investment plans sees us investing £33bn in critical electricity infrastructure across the five years to 2030. SSE Energy Markets secure the energy needed to power customers' lives, while creating value for SSE. Our Energy Markets trading teams buy the fuel needed to deliver cleaner energy and sell power generated in our wind farm, hydro and thermal assets back to the markets.
Benefits: Flexible benefits to fit your life. Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits like a free online GP and 24/7 counselling service. Interest-free loans on tech and transport season tickets, or a new bike with our Cycle to Work scheme. Generous family entitlements such as maternity and adoption pay, and paternity leave.
Work with an equal opportunity employer: SSE will make any reasonable adjustments you need to ensure that your application and experience with us is positive. Please contact Janet.Gossman@sse.com / 01738 351816 to discuss how we can support you. We're dedicated to fostering an open and inclusive workplace where people from all backgrounds can thrive. We create equal opportunities for everyone to succeed and especially welcome applications from those who may not be well represented in our workforce or industry.
Ready to apply? Start your online application using the Apply Now box on this page. We only accept applications made online. We'll be in touch after the closing date to let you know if we'll be taking your application further. If you're offered a role with SSE, you'll need to complete a criminality check and a credit check before you start work.
Energy Markets - Data Scientist (Solution Developer) in Glasgow employer: SSE PLC
SSE plc is an exceptional employer that prioritises employee wellbeing and work-life balance, offering flexible working patterns in a dynamic hybrid environment. With a strong commitment to professional development, employees have access to generous benefits and opportunities for growth within the energy sector, making it a rewarding place to advance your career while contributing to impactful energy infrastructure projects.
StudySmarter Expert Advice🤫
We think this is how you could land Energy Markets - Data Scientist (Solution Developer) 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 SSE PLC!
✨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 Markets - Data Scientist (Solution Developer) at SSE PLC.
✨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 SSE PLC.
✨Apply Directly through Our Website
When you find a suitable opening like Energy Markets - Data Scientist (Solution Developer) at SSE PLC, 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 Markets - Data Scientist (Solution Developer) 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 SSE PLC, 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 SSE PLC. 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 SSE PLC
✨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 SSE PLC!
✨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.
