Base Location
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
Salary: £42,600 - £64,000 + performance-related bonus and a range of benefits to support your finances, wellbeing and family.
Working Pattern
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. Please contact David.Brickell@sse.com / 01738 275 846 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.
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