Portfolio Optimisation Lead

Scottish and Southern Electricity Networks

Glasgow

Hybrid

GBP 52,000 - 77,000

Full time

21 hours ago
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Benefits offered by this job

Flexible first options
Bonuses
Private healthcare
Cycle to work

Job summary

SSE is seeking a Portfolio Optimisation Lead for a 12‑month fixed term contract. The role focuses on maximising the performance and reliability of the electricity network through thematic insights and scenario analysis.

You will shape investment decisions and support the transition to a low‑carbon future, while collaborating with cross‑functional teams. You will lead on investment optimiser product ownership, deliver portfolio optimisation, and develop analytical solutions across data platforms.

Qualifications

  • Experience with optimization and quantitative methods for investment decisions.
  • Experience in regulated utility / asset-intensive environment.
  • Advanced Python, SQL and analytics proficiency.
  • Experience leading large analytical projects with diverse data.

Responsibilities

  • Act as Product Owner for investment optimiser to maximise value across risk, performance, customer and financial outcomes.
  • Deliver portfolio optimisation, scenario analysis, sensitivity testing and network risk assessments for investment planning and regulatory decisions.
  • Develop and maintain value frameworks, models and performance reporting to prioritise asset interventions.
  • Collaborate with Asset Planning, Asset Strategy, Digital and Data teams to improve quality and value of insights for investment decisions.
  • Provide technical leadership by translating complex challenges into clear recommendations and mentoring analysts.

Skills

Optimization techniques
Forecasting
Scenario analysis
Cost-benefit assessment
Portfolio optimisation
Analytical leadership
Data analysis

Tools

Copperleaf Asset Investment Planning
Python
SQL
Modern analytical platforms

Job description

Base Location: Reading, Glasgow or Perth. You'll be expected to spend 50% of your working week in one of these locations.

Salary: £51,600 - £77,400 + performance-related bonus + a range of benefits to support your finances, wellbeing and family.

Working Pattern: 12 Month Fixed Term Contract | Full Time | Flexible First options available

The role

Are you passionate about using data to drive real-world impact? Join our Asset Analysis Team as a Portfolio Optimisation Lead for a 12 month fixed term contract and play a pivotal role in maximising the performance and reliability of our electricity network. You’ll lead on delivering thematic insights that drive actionable improvements, shape investment decision-making through detailed scenario analysis, and support the transition to a low-carbon future.

You Will
  • Act as Product Owner for our investment optimiser, driving continuous improvement and ensuring investment decisions maximise value across risk, performance, customer and financial outcomes.
  • Deliver portfolio optimisation, scenario analysis, sensitivity testing and network risk assessments to support investment planning and regulatory decision-making.
  • Develop and maintain value frameworks, analytical models and performance reporting that enable evidence-based prioritisation of asset interventions and investment programmes.
  • Collaborate with Asset Planning, Asset Strategy, Digital and Data teams to improve the quality, accessibility and value of thematic insights used to action investment decisions.
  • Provide technical leadership by translating complex challenges into clear recommendations, mentoring analysts and enhancing analytical capability, processes and ways of working.
You Have
  • Expertise in optimisation techniques, forecasting, scenario analysis, cost-benefit assessment and other quantitative methods used to support complex investment decisions. Experience with Copperleaf Asset Investment Planning is highly desirable.
  • Significant experience within a regulated utility, infrastructure or asset-intensive environment, with a strong understanding of asset management, investment planning and portfolio optimisation.
  • Advanced capability in Python, SQL and modern analytical platforms, with experience developing and maintaining business-critical analytical solutions.
  • Proven experience leading complex analytical projects involving large, diverse and imperfect datasets.
About SSE

SSE's purpose is to be restless every day until we make electricity clean, affordable and available for all.

We do this by developing, building, operating and investing in electricity infrastructure and businesses needed in the energy transition. This includes electricity transmission and distribution networks, onshore and offshore wind farms, hydro-electric power and flexible thermal generation. We also provide products and services for businesses and other customers.

Our investment plan will see SSE invest £33bn in critical electricity infrastructure to 2030.

SSEN Distribution, part of the wider SSE group, powers 3.9 million UK homes and businesses. Our team of more than 4,200 skilled engineers, customer service advisors and technical specialists keep customers connected to a safe, reliable supply of electricity while investing in and developing the flexible networks needed for our low carbon future.

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 laura.morrison@sse.com / 01738 341814 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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