Senior Data Scientist

SSE Enterprise; England; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading energy company in the UK is seeking a Senior Data Scientist to leverage machine learning technology and drive innovation within their Data Science team. The successful candidate will utilize their expertise in Azure, Python, and various tools to create impactful solutions for the energy sector. This full-time role offers flexible working options, competitive salary, and a range of benefits that support employee well-being and family needs.

Benefits

Discounts on private healthcare

Gym membership discounts

Wellbeing benefits

Interest-free loans for tech and transport

Generous family entitlements

Qualifications

• Extensive experience with Microsoft Azure and Python.
• Machine learning experience on the Azure platform.
• Excellent communication and stakeholder management skills.
• Experience in NLP and generative AI with ethical considerations.
• Front-end development experience using Databricks platform.

Responsibilities

• Support the creation and adoption of data and AI products.
• Work closely with stakeholders to create value-returning products.
• Create cost-optimized solutions in compliance with data security.
• Leverage advances in AI technology for innovation products.
• Utilise best practices in coding standards and Agile methodologies.

Skills

Microsoft Azure platform

Python

Databricks

SQL

Geospatial tools

Stakeholder management

NLP

Generative AI

Front end development

Machine learning

Tools

Azure DevOps

Data Factory

Job description

Senior Data Scientist

Job Number : 557207

Closing at : Jan 5 2026 - 23 : 55 GMT

Base Location : Havant and Reading

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

Working Pattern : Permanent | Full Time | options available

Role

This position sits within the Data Science team in TD&D (Technology, Digital & Data) supporting SSEN Distribution across a number of core use cases including facilitating & supporting the transition to net zero, assisting the delivery of the ED2 (Electricity Distribution 2) agreed business plan, driving efficiency savings via the use of automation / machine learning & insight & building market leading machine learning technology solutions to drive best in class service to our customers.

We are looking for a Senior Data Scientist, to help to drive innovation and the usage of machine learning technology to support key business use cases, leveraging the Azure platform, Python, Spark, GenAI / LLMs, Databricks, SQL, DevOps & geospatial data knowledge to create end to end products to support key products. Ideally, you’ll have experience from within the energy industry.

You will

• Support the creation & adoption of data & AI products across the wider SSEN business, ranging from traditional machine learning, generative AI, advanced analysis & statistics.
• Work closely with business stakeholders to create high impact, value returning products to impact on key business metrics.
• Create sustainable cost optimised solutions (FinOps) & working with our data quality / governance teams & ensuring compliance to data security, GDPR & ethical AI best practice.
• Leveraging advances in AI technology to work on data science innovation products to create a series of prototype products in emerging fields (Agentic AI)
• Utilise best practice for coding standards, use of repos, DevOps sprints & Agile boards to ensure alignment with TD&D ways of working.

You have

• Extensive experience with the Microsoft Azure platform, Python, Databricks, SQL, Geospatial tools, Azure DevOps, use of repo, data factory & pipeline creation.
• Machine learning experiencing on the Microsoft Azure platform, AutoML or Python.
• Excellent communication & stakeholder management skills, with the ability to drive value via end-to-end ownership of business use cases related problems.
• Early experience of new tech - such as NLP & generative AI (familiarity with potential use cases, value & concerns - ethical AI, information security).
• Front end development (GUI) experience with the ability to leverage the Azure Databricks platform (Databricks Apps) to create positive user experience generating tools off the back of key data science machine learning products.

About SSE

SSE has a bold ambition – to be a leading energy company in a net zero world. We’re investing around £10 million a day in homegrown energy to help power a cleaner, more secure future.

, 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 energy experts 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 / 01738 275846 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.