At a Glance
- Tasks: Join our team to solve real business problems using data science, machine learning, 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 opportunities and support for all backgrounds.
- Why this job: Shape the future of analytics while making a real impact in the energy sector.
- Qualifications: Experience in Python, SQL, and deploying analytical models in collaborative 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 involves joining 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 include 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 Perth employer: SSE PLC
SSE is an exceptional employer that prioritises employee wellbeing and growth, offering a competitive salary alongside a comprehensive benefits package including flexible working options, private healthcare discounts, and generous family entitlements. With a strong commitment to inclusivity and collaboration, employees in the Senior Data Scientist role will thrive in a dynamic environment that encourages innovation and professional development while contributing to the vital energy transition.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Perth
✨Tip Number 1
Network like a pro! Reach out to current employees at SSE on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills. Be ready to discuss your experience with Python, SQL, and machine learning. Show us how you've tackled real business problems with your analytical prowess!
✨Tip Number 3
Don’t forget to showcase your soft skills! Communication is key, especially when explaining complex data insights. Practice articulating your thoughts clearly and confidently to different audiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at SSE. Let’s make it happen!
We think you need these skills to ace Senior Data Scientist in Perth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match 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 you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background aligns with our mission at SSE. Be sure to mention specific examples of your work that demonstrate your problem-solving skills.
Showcase Your Technical Skills:Since this role requires strong coding abilities in Python and SQL, make sure to include 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 for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
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 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 role of data science in energy transition. Think about how your skills can contribute to their goals and be prepared to discuss how you can help shape analytics within the organisation.
✨Be Ready for Collaboration
This role involves working closely with analysts, engineers, and stakeholders. Prepare to share examples of how you've successfully collaborated in the past, especially in agile environments. Highlight your proactive approach and how you engage with others to drive solutions.
