Senior Architect (Data Science)

ScottishPower; Glasgow; Hybrid; GBP 82,000; Full time

Job description

Senior Architect (Data Science)
Location - 320 St Vincent Street, Glasgow

Flexible Hybrid Working

Salary up to £82,000 per annum + bonus + car allowance + excellent benefits

Closing Date: 2nd of May 2025

Help us create a better future, quicker

The Data Transformation team within SP Energy Networks (SPEN) is a multi-discipline team responsible for Data Transformation project strategy, design, and delivery - delivering on behalf of both internal and external stakeholders across our distribution and transmission licences following our RIIO-ED2, RIIO-T2, and future regulatory business plans. The team brings together data, engineering, and project delivery expertise to develop data solutions in data systems, energy data analytics & insights, and AI.

As a Senior Architect within the Data Transformation team, you will lead the Data Science team in the design of sustainable data science solutions to meet the needs of the Data Use Cases brought forward within the SPEN business. Using your Data Science and change management experience, you will collaborate to design and build the SPEN data estate and processes to meet the requirements of our business plans.

What you'll be doing

1. Establish a small technical team across the data science and machine learning operations landscape including:

• Data analytics and automation
• Advanced analytics including Machine Learning (ML) and AI
• ML Operations (MLOps)
• Policies and process

Steer policy development on data science and data analytics with internal/external stakeholders including external data interfaces.

Develop MLOps processes to encourage sustainable and scalable model building which encourages value creation through robust ML solutions.

Lead the development and deployment of analytics solutions that deliver rich, reliable, and actionable insights to various business stakeholders and analytics consumers.

Apply advanced data analytics, machine learning, and artificial intelligence techniques to extract insights, generate features, and build models that address various business problems and opportunities.

Collaborate and design data solutions which proactively enable future data analytics and other value-added use cases.

Ensure the quality, reliability, and observability of data products by implementing data testing, monitoring, and documentation standards and best practices.

Work with Data Governance and AI committees to ensure compliance with policies.

Work with Data Engineering and other subject matter expert teams to identify data requirements and integration priorities.

Work with Business Transformation to create platforms suitable for scalable/advanced analytics and to enable new tools for analytics and data science teams.

Deliver (with Business Transformation) integrated platforms/architectures to enable a sustainable and scalable Data Estate and enable reporting, business intelligence, and advanced analytics such as Machine Learning.

Engage with and ensure the implementation of industry best practices in data science, skills, and capabilities when building the organisational design of the team and related functions.

What you'll be responsible for

1. Responsibility for a CAPEX budget of up to £5 million and an OPEX budget of up to £500,000 per annum.
2. Leading a specialist team of data scientists and analysts with a team of up to 5 direct and 10 indirect employees (contractors).
3. Delivery of technology development initiatives in line with SPEN business plans within CAPEX programme.
4. Working and leading within industry forums to steer technology strategy within the networks operation sector.

What you'll bring

1. Strong understanding of AI, Advanced Analytics, MLOps, and project delivery methodologies (such as Agile).
2. Proven knowledge of responsible and ethical AI practices.
3. Proven capabilities in ML in an operational environment and experience with MLOps.

To be successful, as a minimum you will have

1. Degree qualified in Data Science, Mathematics, or a related discipline.
2. Proven track record in developing and delivering analytics and data change in a large multi-disciplined organisation.
3. A strong understanding of effective partnership working with 3rd party organisations.
4. Advanced Data Modelling: Proficiency in designing, implementing, and evaluating complex machine learning models, statistical algorithms, and predictive analytics to solve business problems.
5. Experience with techniques such as regression, classification, clustering, and time series analysis.
6. Experience with Gen-AI technologies.
7. Leadership and Mentorship: Proven ability to lead a team of data scientists, providing guidance, coaching, and fostering a collaborative environment. Experience mentoring team members and promoting a culture of continuous learning and innovation.
8. Communication and Storytelling: Excellent communication skills to convey complex data concepts to both technical and non-technical stakeholders. Proficiency in data visualisation tools (e.g., Power BI) to create compelling narratives from data insights.
9. Ability to successfully engage with and influence both internal ScottishPower and Iberdrola groups and regulatory bodies / Industry Working Groups (Ofgem, DESNZ, ENA).
10. Knowledge and experience with scalable data systems and architectures.
11. High impact influencing and negotiating skills with respect to technical issues and solutions.

What's in it for you

As well as a competitive salary which is reviewed annually, you can also enjoy a number of other benefits. With our pension scheme, we'll double match your contribution up to a company contribution of 10%.

At ScottishPower, we believe it's the little things we do in life that make a big difference. From helping you look after your family's wellbeing, save for your future, and take personal steps for climate action - our benefits are designed to help you do just that - so that you have everything you need to take care of your world - today and tomorrow. That's why our benefits include:

• 36 days annual leave
• Holiday purchase - perfect your work/life balance with extra annual leave
• Share Incentive Plan and Sharesave Scheme
• Payroll giving and charity matched funding
• Technology Vouchers - save more and spread the cost of your technology purchases
• Count us in - pledge to reduce carbon emissions and help fight climate change
• Electric Vehicle Schemes - to help you transition to green/clean driving
• Cycle to Work scheme and public transport season ticket loans
• Options to purchase dental insurance, private medical insurance, health cash plan, and annual health assessments
• Life Assurance (4x salary)
• Access to 'nudge' financial wellbeing support
• Plus shopping, leisure, restaurant, and gym discounts, and unique employee deals on travel insurance and more.

Why SP Energy Networks

SP Energy Networks is part of the Iberdrola Group, one of the world's largest integrated utility companies and a world leader in wind energy. We keep electricity flowing to homes and businesses through Central and Southern Scotland, North Wales, and in the North West of England. We operate over 4000km of cables and lines that make up the transmission network - connecting infrastructure like wind farms into the electricity system. It's a role that puts us right at the heart of Scotland's ambition to be Net Zero by 2044. And we're taking it very seriously. We're investing £5.5 billion into our transmission network, directly supporting the rapid growth needed in renewable energy. With diverse opportunities across our businesses and a commitment to invest in our own internal talent, ScottishPower can offer people real career opportunities that meet personal and professional goals, in a global organisation.

Inclusion, diversity, and a social purpose are at the heart of everything we do. Together with our values, they bring us together into a stronger, more sustainable business with direct links to the communities we serve. It takes all kinds of people to build a large-scale business like ours, so whatever your background, you'll fit right in.

We are committed to providing reasonable support or adjustments in our recruiting processes for candidates with disabilities, long-term conditions, mental health conditions, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to [e-mail].