Data Scientist

TN United Kingdom; Perth; On-site; GBP 40,000 - 61,000; Full time

Job summary

A leading energy company is seeking a Data Scientist to join their team. The role focuses on delivering data science solutions using machine learning and AI to drive value and optimize performance. Candidates should have strong programming skills and a background in a quantitative discipline. The position offers competitive salary and benefits, including flexible work options.

Benefits

Private Healthcare Discounts

Gym Membership Discounts

Free Online GP

24/7 Counselling Service

Interest-free Loans

Generous Family Entitlements

Qualifications

• Strong programming and data engineering skills.
• Expertise in designing analytics solutions using Azure cloud technologies.

Responsibilities

• Develop and deliver sophisticated machine learning models.
• Work closely with IT teams to maintain and optimise existing models.
• Support less experienced Data Scientists in best practices.

Skills

Programming

Data Engineering

Problem Solving

Analytical Skills

Education

Mathematics

Physics

Computer Science

Tools

Python

PySpark

SQL

Azure Databricks

Job description

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Base Location: Reading, Perth or Cardiff

Salary: £40,600 - £61,000 + performance-related bonus + a range of benefits to support your finances, wellbeing, and family.

Working Pattern: Permanent | Full Time | options available

The role

This role sits within the Data Science team of the Commercial function of Business Energy and focuses on delivering data science solutions using machine learning, AI, and optimisation. You will work across the business identifying cost-saving opportunities and delivering data science projects that drive value and have a material impact on BE’s P&L.

You will

• Develop and deliver sophisticated machine learning models for key use cases, working with Data Scientists and analysts to ensure timely, production-ready solutions.
• Master data science techniques, seek innovation, and deliver commercially valuable models with a focus on continuous improvement.
• Work closely with our BE IT platform teams to maintain and optimise our existing models, assets, and data pipelines.
• Improve Business Energy performance with advanced models and data visualisations, delivering business value and optimising critical models.
• Support less experienced Data Scientists to share knowledge and establish best practices, including deployment of advanced ML Ops.

You have

• Strong programming and data engineering skills, including Python, PySpark, SQL, and Azure Databricks.
• Experience with delta tables, Databricks Delta Live Tables, and Unity Catalog.
• Proven problem-solving, quantitative skills, and intellectual curiosity.
• Expertise in designing and operating analytics solutions using Azure cloud technologies.
• Highly analytical, data-literate, with excellent stakeholder management skills and a background in a quantitative discipline (e.g., Mathematics, Physics, Computer Science).

About SSE

SSE has a bold ambition – to be a leading energy company in a net zero world. We're building the world's largest offshore wind farm, transforming the grid to provide greener electricity for millions, and investing over £20 billion in homegrown energy, with another £20 billion in the pipeline.

We support UK organisations by delivering energy and low-carbon energy solutions, including EV hubs, solar systems, smart technologies, and heating and cooling networks. We power the net zero transition by helping customers cut carbon and costs, and by building and investing in flexible energy infrastructure.

Flexible benefits to fit your life

Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits include a free online GP and 24/7 counselling service. Interest-free loans on tech and transport season tickets, or a bike through our Cycle to Work scheme. Generous family entitlements include 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 contact you after the closing date to inform you if your application will be considered further.