Data Scientist

SSE Enterprise
Glasgow
3 days ago
Create job alert



Data Scientist





  • Job Number:
    557915























  • Closing at: Mar 23 2026 - 23:55 GMT



















Base Location: You'll be expected to spend 50% of your working week in one of the following locations: Glasgow Waterloo Street or Glasgow Eurocentral


Salary: £35,200 - £52,800 + 5% performance-related bonus + a range of benefits to support your finances, wellbeing and family.


Working Pattern: Permanent | Full Time | options available


The role


As a Data Scientist within the Data & Insights team in the Procurement & Commercial department, you will play a pivotal role in shaping and delivering AI solutions that address real business challenges. This role isn’t just about technical development; you must bridge the gap between data science and the rest of the department, helping non-technical stakeholders understand what AI can do, where it adds value and how it can be embedded into their processes. Your ability to convey complex ideas clearly and build credibility with stakeholders at all levels will be just as important as your technical expertise.


You will




  • Lead the end-to-end design, build and deployment of AI solutions that solve real business problems, ensuring outputs deliver value and meet expectations of stakeholders.

  • Deliver a range of solutions including business process automation, AI-driven insights, enhanced decision-support and agentic workflows.

  • Engage directly with non-technical stakeholders to understand their challenges, define use cases, translate needs into clear requirements and ensure they feel confident using and adopting AI solutions.

  • Proactively identify high value opportunities for AI across Procurement shaping and prioritising a clear, outcome focused backlog that focuses on value delivery.

  • Contribute to governance, privacy and security assurance activities including documenting access controls, supporting security assessments and ensuring AI solutions meet organisational compliance requirements.

You have




  • Excellent communication skills with the ability to influence, build rapport and explain advanced concepts to non‑technical audiences in a clear and engaging manner.

  • Strong machine learning and data science capability including hands-on experience with Python, applied ML, data engineering basics, GenAI/LLM and modern platforms (e.g., Databricks, Spark, MLflow, DSPy, Streamlit).

  • A collaborative and user-centred approach comfortable facilitating workshops, gathering requirements, validating outputs, and supporting adoption with teams unfamiliar with AI technologies.

  • Experience delivering production-ready AI solutions including testing, monitoring, and governance and the ability to explain why these steps matter to the business.

  • A self‑starter mentality able to work in a small, dynamic team, switch between hands-on development and stakeholder conversations and help drive our AI strategy through high quality delivery and engagement.

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 Procurement & Commercial teams help us get the best service and value from partners, while ensuring suppliers meet compliance, contractual and business obligations.


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



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



Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist (Government)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.