Data Scientist - VF Systems - Hybrid - London, UK

ZipRecruiter; London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading energy company is seeking a Data Scientist for its Volume Forecasting Systems team in London. In this role, you'll develop forecasting models, work with cutting-edge technology, and contribute to minimizing costs and maximizing accuracy. The ideal candidate will be skilled in Python, SQL, and have a solid understanding of UK energy markets, within a supportive and inclusive environment.

Benefits

Market-leading pension scheme

Health insurance

Technology vouchers

Gym membership

Season ticket loans

Parental leave

Electric vehicle leasing

Product discounts

Critical illness cover

Qualifications

• Exceptional numerical and mathematical skills.
• Proficiency in modeling, SQL, Python, and R is essential.
• Familiarity with Machine Learning operations, Snowflake, and AWS technologies is advantageous.

Responsibilities

• Maintain and develop accurate B2B and Residential Volume Forecasting models.
• Optimize performance and reduce costs in a cloud-based system.
• Collaborate across teams for best practices in model management.

Skills

Modeling

SQL

Python

R

Machine Learning

Tools

Amazon SageMaker

Snowflake

AWS

Job description

Job Description

Data Scientist - VF Systems - London, UK

About the Role

Are you looking for your next Data Science role where you’ll be working with cutting-edge technologies as part of a dynamic and forward-thinking team? If so, this opportunity could be for you! You’ll be making a direct impact in energy forecasting, whilst influencing key business decisions.

EDF Wholesale Market Services (WMS) is a core business line within EDF UK Customers that helps Britain achieve Net Zero. It provides industry-leading wholesale market services to EDF’s supply and business units and third-party energy asset owners across various market segments including residential, business supply, nuclear, renewable, thermal, and storage & flexible energy.

This role is within the Volume Forecasting Systems team, responsible for re-platforming and enhancing our forecasting systems to enable market-leading performance. We seek a talented Data Scientist to develop forecasting models to minimize costs and maximize accuracy.

Pay, Benefits, and Culture

Starting salary from circa £60,000 (depending on experience), with a market-leading pension scheme and benefits such as parental leave, electric vehicle leasing, health insurance, product discounts, critical illness cover, technology vouchers, gym membership, and season ticket loans. We embrace flexibility, supporting remote, on-site, or office work, and foster an inclusive environment where everyone feels valued and safe.

We are committed to diversity, equity, and social mobility, aiming for a workforce that reflects a broad spectrum of backgrounds. We support reasonable adjustments and believe success is personal and unique to each individual.

What You’ll Be Doing

As a Data Scientist, you will maintain and develop accurate B2B and Residential Volume Forecasting models, optimizing performance and reducing costs in our cloud-based system using tools like Amazon SageMaker, Python, and R. You will collaborate across teams to ensure best practices in designing, deploying, and managing models, focusing initially on migrating existing models into our new Python-based AWS environment.

Who You Are

You possess exceptional numerical and mathematical skills, with a solid understanding of UK energy markets. Proficiency in modeling, SQL, Python, and R is essential. Familiarity with Machine Learning operations, Snowflake, and AWS technologies is advantageous. You are collaborative, inclusive, outcomes-focused, and adaptable, committed to continuous improvement.

If this sounds like you, we’d love to hear from you!

Closing date for applications: Thursday 29th May

Location: London/Exeter - Hybrid