At a Glance
- Tasks: Join our Reporting and Analytics team to solve real business problems using data science and AI.
- Company: Dynamic company focused on innovation and inclusivity.
- Benefits: Competitive salary, flexible working, health perks, and family-friendly policies.
- Other info: Join a supportive team culture that values diversity and continuous improvement.
- Why this job: Make a real impact with advanced analytics while shaping the future of our organisation.
- 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.
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 Aberdeen employer: SSE PLC
Join a forward-thinking organisation that values innovation and collaboration, where as a Senior Data Scientist, you'll have the opportunity to work on impactful analytics projects across multiple locations including Perth, Aberdeen, Inverness, and Glasgow. With a strong commitment to employee wellbeing, flexible working options, and a culture that promotes inclusivity and professional growth, you'll be supported in your career while enjoying a range of benefits tailored to enhance your work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Aberdeen
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common data science questions. We recommend using mock interviews with friends or online platforms to get comfortable explaining your thought process and showcasing your skills.
✨Tip Number 3
Show off your projects! Bring examples of your work to the interview. Whether it’s a GitHub repo or a case study, demonstrating your ability to take models from concept to production will impress the hiring team.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your interest in the role can keep you top of mind and show that you’re genuinely excited about the opportunity.
We think you need these skills to ace Senior Data Scientist in Aberdeen
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 our needs!
Showcase Your Coding Skills:Since coding is a big part of this role, include examples of your clean, efficient code in Python and SQL. If you’ve worked with libraries like Pandas or NumPy, let us know! We love seeing practical applications of your skills.
Communicate Clearly:In your application, make sure to communicate your insights and experiences clearly. We value candidates who can explain complex data-driven decisions in a way that everyone can understand. Show us your communication chops!
Apply Through Our Website:We encourage you to apply through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. Don’t miss out!
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, as this role is all about delivering practical insights.
✨Show Off Your Coding Skills
Since you'll be working with Python and SQL, practice writing clean and efficient code. Prepare to demonstrate your experience with libraries like Pandas and NumPy, and be ready to explain how you've used them in past projects.
✨Communicate Like a Pro
This role requires you to communicate insights clearly to various audiences. Practice explaining complex data concepts in simple terms, and think of examples where you've successfully done this in the past.
✨Be Ready to Collaborate
Collaboration is key in this position. Think of times when you've worked with analysts, engineers, or stakeholders to turn questions into solutions. Be prepared to discuss how you fostered a collaborative environment and contributed to team success.
