At a Glance
- Tasks: Join the Reporting and Analytics team to solve real business problems using data science and AI.
- Company: SSE, a leader in energy transition and innovative technology.
- Benefits: Competitive salary, flexible working, health perks, and family support.
- Other info: Inclusive culture with excellent career growth and support for diverse backgrounds.
- Why this job: Shape the future of analytics while making a real impact in the energy sector.
- Qualifications: Experience in machine learning, Python, SQL, and collaborative data environments.
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: Perth, Aberdeen, Inverness and Glasgow.
Salary: £42,600 - £64,000 + performance-related bonus and a range of benefits to support your finances, wellbeing and family.
Working Pattern: Permanent | Full Time | Flexible First options available.
The role: Join the central Reporting and Analytics team in Transmission, working across a wide range of real business problems, applying data science, machine learning and AI to deliver practical, scalable insight. You’ll build and deploy analytics products and help shape how advanced analytics is used across the organisation, with a strong focus on asset, operational and forecasting use cases. You’ll play a key role in shaping the future of analytics as the team and capability grow.
You will:
- Work on a variety of advanced analytics use cases across the business, developing and deploying machine learning and AI solutions that deliver real operational and strategic value.
- Collaborate with analysts, engineers and business stakeholders to turn questions into well-defined problems, and deliver solutions that can be reused and scaled.
- Take models from prototype through to production, working with shared data platforms and contributing to robust, maintainable pipelines.
- Communicate insights clearly and confidently to a range of audiences, helping people understand and trust data-driven decisions.
- Contribute to a collaborative, inclusive team culture, sharing knowledge, supporting others and continuously improving how we deliver analytics.
You have:
- Ability to independently design and apply statistical, machine learning and (where appropriate) AI approaches to solve real business problems, selecting appropriate methods, validating results and clearly communicating outcomes and impact.
- Ability to write clean, efficient and well-structured code in Python and SQL, working with large and complex datasets and using common libraries such as Pandas, NumPy and scikit-learn (or similar tools).
- Experience working within shared, platform-based data environments (such as Azure, Databricks or Microsoft Fabric), using collaborative workflows, version control and structured development practices.
- Experience independently taking analytical models or data products from concept through to production, including deployment, monitoring, iteration and ensuring solutions are robust, reusable and scalable.
- A proactive, self-starting approach, with experience working in agile teams and the ability to work with loosely defined problems, engage stakeholders directly and drive solutions through to delivery.
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 plan sees us investing £33bn in critical electricity infrastructure across the five years to 2030.
Our IT division powers growth across all SSE business areas by making sure we have the systems, software and security needed to take the lead in a low‑carbon world. They provide expertise, advice and day‑to‑day support in emerging technologies, data and analytics, cyber security and more.
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. As well as 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. 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.
Senior Data Scientist in Glasgow employer: SSE PLC
SSE is an exceptional employer, offering a dynamic work environment where innovation meets inclusivity. With a strong focus on employee wellbeing, we provide flexible benefits, generous family entitlements, and opportunities for professional growth in the rapidly evolving field of data science. Our commitment to fostering a collaborative culture ensures that every team member can contribute meaningfully while shaping the future of energy infrastructure across key locations like Perth, Aberdeen, Inverness, and Glasgow.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and the company culture. This can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for those interviews! Research common data science interview questions and practice your answers. Make sure you can explain your past projects clearly, focusing on the impact of your work and how you solved real business problems.
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your best data science projects. Include case studies that highlight your ability to apply machine learning and AI to solve complex issues. This will help you stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at SSE.
We think you need these skills to ace Senior Data Scientist in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning, AI, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Be sure to mention specific examples of your work that relate to the job description.
Showcase Your Technical Skills:Since this role requires strong coding skills in Python and SQL, make sure to mention any relevant projects or experiences where you've used these languages. We love seeing clean, efficient code, so if you have a GitHub or portfolio, share it with us!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at StudySmarter!
How to prepare for a job interview at SSE PLC
✨Know Your Data Science Stuff
Make sure you brush up on your statistical and machine learning knowledge. Be ready to discuss how you've applied these techniques to solve real business problems, and have examples at the ready that showcase your ability to design and validate models.
✨Show Off Your Coding Skills
Since you'll be working with Python and SQL, it's crucial to demonstrate your coding prowess. Prepare to talk about your experience with libraries like Pandas and NumPy, and maybe even share a snippet of code or a project that highlights your clean and efficient coding style.
✨Communicate Like a Pro
You’ll need to explain complex data insights to various audiences, so practice articulating your findings clearly and confidently. Think about how you can make technical concepts accessible to non-technical stakeholders, as this will be key in your role.
✨Embrace Collaboration
This role involves working closely with analysts, engineers, and business stakeholders. Be prepared to discuss how you've collaborated in the past, especially in agile teams, and highlight your proactive approach to engaging with others to drive solutions.
