Base Location: You’ll be expected to spend 50% of your working week in one of the following locations :London, Reading, Havant, Glasgow or Perth

Salary: £competitive + performance-related bonus + a range of benefits to support your finances, wellbeing and family.

The role

This role offers the opportunity to innovate how risk, controls and assurance activities are assessed by applying advanced analytics, statistical modelling and AI to identify emerging risks, strengthen control insights and support more proactive decision-making. Working at the intersection of data science and assurance, the role will help shape scalable, data-driven approaches that improve the efficiency, consistency and impact of audit, risk and controls work across the Group.

You will

• Use data, analytics and AI to help improve how risks, controls and assurance activities are identified, monitored and understood.
• Build statistical and machine learning models that detect patterns, anomalies and emerging risks across complex data sets.
• Develop dashboards, visualisations and clear insights that help teams make better decisions and take action with confidence.
• Work closely with assurance, risk, controls and technology colleagues to turn business questions into practical data solutions. Support the responsible use of data and AI by ensuring models and outputs are clear, well-documented and fit for purpose.

You have

• Experience using data, analytics or AI to solve practical business problems and turn complex information into clear insight.
• Strong skills in data analysis, statistical modelling or machine learning, with the ability to work confidently with large and varied data sets.
• Good technical capability in tools such as SQL, Python, Databricks or Power BI, or the ability to quickly build capability in similar platforms.
• A clear and collaborative communication style, with the ability to explain technical work in plain English and work well with people from different backgrounds and specialisms.
• A curious, responsible and improvement-focused mindset, with sound judgement on data quality, privacy, model transparency and the ethical use of AI.

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 Group Risk & Audit teams support SSE in meeting all risk management responsibilities, including UK Corporate Governance Code obligations. They undertake assurance reviews to help identify and mitigate against any risks that could impact our performance, integrity, solvency or liquidity.

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 francesca.palmer@sse.com / 01738 344763 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.

Ready to apply?

Start your online application using the Apply Now box on this page. We only accept applications made online. We’ll be in touch after the closing date to let you know if we’ll be taking your application further. If you’re offered a role with SSE, you’ll need to complete a criminality check and a credit check before you start work.

LI-FT1

LI-Hybrid OR #LI-Onsite

• Experience using data, analytics or AI to solve practical business problems and turn complex information into clear insight.
• Strong skills in data analysis, statistical modelling or machine learning, with the ability to work confidently with large and varied data sets.
• Good technical capability in tools such as SQL, Python, Databricks or Power BI, or the ability to quickly build capability in similar platforms.
• A clear and collaborative communication style, with the ability to explain technical work in plain English and work well with people from different backgrounds and specialisms.
• A curious, responsible and improvement-focused mindset, with sound judgement on data quality, privacy, model transparency and the ethical use of AI.

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.

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 Group Risk & Audit teams support SSE in meeting all risk management responsibilities, including UK Corporate Governance Code obligations. They undertake assurance reviews to help identify and mitigate against any risks that could impact our performance, integrity, solvency or liquidity.