Data Scientist

SSE plc; Reading; On-site; GBP 40,000 - 61,000; Full time

Job summary

A leading energy company is seeking a Data Scientist to join their team in Reading. The role involves developing machine learning models and data science solutions to enhance business performance and optimize costs. Candidates should possess strong programming skills and a background in quantitative disciplines. The position offers a competitive salary and flexible working options.

Benefits

Private Healthcare Discounts

Gym Membership Discounts

Interest-free loans

Cycle to Work Scheme

Generous Family Entitlements

Qualifications

• Strong programming and data engineering skills.
• Experience with delta tables and analytics solutions.

Responsibilities

• Develop and deliver machine learning models.
• Work closely with IT platform teams to optimize models.

Skills

Python

SQL

Data Engineering

Machine Learning

Problem Solving

Education

Mathematics

Physics

Computer Science

Tools

Azure Databricks

Databricks Delta Live Tables

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 | Flexible First 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 which drive value and have a material impact to 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.
• Work closely with and support less experienced Data Scientists to share knowledge and establish best practice, 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 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 of people and investing over £20 billion in homegrown energy, with £20 billion more in the pipeline.

SSE Energy Solutions support UK organisations by delivering energy and low-carbon energy solutions. These include 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 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 Lynsey at [e-mail] or on 01738 340426 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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Project Management, Analyst, and Information Technology

• Industries

  Utilities, Oil and Gas, and Renewable Energy Semiconductor Manufacturing

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