At a Glance
- Tasks: Use data science and AI to solve real business problems and deliver impactful insights.
- Company: Join SSE, a leader in energy transition and innovative technology.
- Benefits: Competitive salary, flexible working, health perks, and family entitlements.
- Other info: Inclusive workplace with excellent career growth opportunities and a focus on continuous improvement.
- Why this job: Make a difference in the energy sector while developing your skills in a collaborative environment.
- Qualifications: Experience in machine learning, Python, SQL, and working with large datasets.
The predicted salary is between 42600 - 64000 € per year.
Base Location: 50% of your working week in Perth, Aberdeen, Inverness or Glasgow.
Salary: £42,600 – £64,000 + performance‑related bonus and a range of benefits.
Working Pattern: Permanent | Full Time | Flexible First options available.
The role involves joining the central Reporting and Analytics team in Transmission, working across a wide range of real business problems. You will apply data science, machine learning and AI to deliver practical, scalable insight and help shape how advanced analytics is used across the organisation, with a strong focus on asset, operational and forecasting use cases.
You will:
- Work on a variety of advanced analytics use cases, 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 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 the energy needed today while building a better world of energy for tomorrow. We develop, build, operate and invest in electricity infrastructure and businesses needed in the energy transition. Our IT division powers growth across all SSE business areas by ensuring we have the systems, software and security needed to lead a low‑carbon world.
Flexible benefits to fit your life include discounts on private healthcare and gym memberships, wellbeing benefits such as a free online GP and 24/7 counselling service, interest‑free loans on tech and transport season tickets, and a new bike through our Cycle to Work scheme. Generous family entitlements include maternity and adoption pay, and paternity leave.
We are an equal opportunity employer and will make any reasonable adjustments you need to ensure a positive application and experience. We are dedicated to fostering an open and inclusive workplace where people from all backgrounds can thrive and create equal opportunities.
Senior Data Scientist in Inverness employer: Scottish and Southern Electricity Networks
SSE is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible working environment in vibrant locations such as Perth, Aberdeen, Inverness, or Glasgow. With a strong commitment to inclusivity and collaboration, employees benefit from a range of perks including private healthcare discounts, wellbeing services, and generous family entitlements, all while contributing to meaningful projects that shape the future of energy.
Contact Detail:
Scottish and Southern Electricity Networks Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Inverness
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Scientist role.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving machine learning and AI. We recommend sharing your work on platforms like GitHub to demonstrate your coding skills and problem-solving abilities.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. We suggest using the STAR method (Situation, Task, Action, Result) to structure your answers. And remember, they want to see how you think, so don’t be afraid to talk through your thought process!
✨Apply Through Our Website
When you find a job that fits, apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals to join our team, so don’t hesitate to put yourself out there!
We think you need these skills to ace Senior Data Scientist in Inverness
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 that showcase your skills in Python and SQL. We want to see how you can bring value to our team!
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 your background aligns with our mission at SSE. Don’t forget to mention your collaborative spirit and how you can contribute to our inclusive culture.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We love seeing candidates who can take a loosely defined issue and turn it into a clear, actionable solution. Share your thought process and the impact of your work!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at Scottish and Southern Electricity Networks
✨Know Your Data Science Stuff
Make sure you brush up on your statistical and machine-learning techniques. Be ready to discuss how you've applied these methods to solve real business problems, and have examples at the ready that showcase your ability to communicate complex insights clearly.
✨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 specific projects where you’ve written clean, efficient code and used libraries like Pandas or NumPy. Maybe even bring a code snippet to discuss!
✨Understand the Business Context
Familiarise yourself with SSE's mission and the energy sector. Think about how your data science skills can contribute to their goals, especially in areas like operational efficiency and forecasting. This will show that you're not just a techie but also understand the bigger picture.
✨Be Ready for Collaboration
This role involves working closely with analysts, engineers, and stakeholders. Prepare to discuss your experience in agile teams and how you’ve engaged with others to drive solutions. Highlight any instances where you’ve contributed to a collaborative culture or helped others improve their analytics skills.
