Data Scientist - Grid Innovation Model Development (Energy Sector Experience Required)

GE Vernova; England; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading energy technology company in the UK seeks a skilled Data Scientist to validate AI/ML models focused on grid innovation applications. Candidates should possess a strong background in energy systems or related fields and have proficiency in Python, R or MATLAB. This role offers competitive benefits and the opportunity to work in a dynamic international environment.

Benefits

Competitive benefits

Private health insurance

Flexible work agreements

Qualifications

• Hands-on experience in model validation.
• Experience in energy systems or smart grid technologies.
• Proficiency in model evaluation techniques.

Responsibilities

• Design and conduct experiments to validate AI/ML models.
• Establish frameworks ensuring models meet performance standards.
• Collaborate with Data Engineers and ML Engineers.

Skills

Statistical techniques

Model performance metrics

Programming in Python

Machine learning frameworks

Data visualization tools

Education

PhD, Master's, or Bachelor's degree in Data Science or related field

Tools

Python

R

MATLAB

TensorFlow

Power BI

Job description

Overview

We are looking for a skilled and results-oriented Data Scientist to join our team, with a focus on validating AI/ML models for grid innovation applications. This role involves the testing, verification, and validation of AI/ML models using grid data to ensure they meet accuracy, performance, and operational standards in energy systems.

Reporting to the AI Lead within the CTO organization, the Data Scientist will work closely with Grid Automation (GA) product lines, R&D, product management, and other GA functions.

The ideal candidate will have solid experience in the energy sector—particularly in grid automation—or in related domains such as smart infrastructure (e.g., connected buildings, utilities) or industrial automation (e.g., SCADA, PLC systems, Industry 4.0). A strong background in data science and data engineering, with the ability to develop and validate AI/ML models in complex, data-rich environments, is essential.

Responsibilities

• Design and conduct experiments to test and validate AI/ML models in the context of energy systems and grid automation applications.
• Establish clear validation frameworks to ensure models meet required performance standards and business objectives.
• Establish test procedures to validate models with real and simulated grid data.
• Analyze model performance against real-world data to ensure accuracy, reliability, and scalability.
• Identify and address discrepancies between expected and actual model behavior, providing actionable insights to improve model performance.
• Implement automated testing strategies and pipeline to streamline model validation processes.
• Collaborate with Data Engineers and ML Engineers to improve data quality, enhance model performance, and ensure efficient deployment of validated models.
• Ensure that validation processes adhere to data governance policies and industry standards.
• Communicate validation results, insights, and recommendations clearly to stakeholders, including product managers and leadership teams.

Must-Have Requirements

• PhD, Master's, or Bachelor's degree in Data Science, Computer Science, Electrical Engineering, or a related field with hands-on experience in model validation.
• Significant experience working in the energy sector, particularly in energy systems, grid automation, or smart grid technologies.
• Solid experience in validating AI/ML models, ensuring they meet business and technical requirements.
• Strong knowledge of statistical techniques, model performance metrics, and validation methodologies for AI/ML models.
• Proficiency in programming languages such as Python, R, or MATLAB.
• Experience with data wrangling, feature engineering, and preparing datasets for model validation.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and model evaluation techniques.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and deployment of models in cloud environments.
• Experience with data visualization tools such as Tableau, Power BI, or similar to effectively present validation results and insights.

Nice-to-Have Requirements

• Familiarity with big data tools and technologies, such as Hadoop, Kafka, and Spark.
• Familiarity with data governance frameworks and validation standards in the energy sector.
• Knowledge of distributed computing environments and model deployment at scale.
• Strong communication skills, with the ability to clearly explain complex validation results to non-technical stakeholders.

About GE Vernova Grid Solutions

At GE Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to fulfill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotal role in integrating Renewables onto the grid to drive to carbon neutral. In Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.

Why We Come To Work

At GEV, our engineers are always up for the challenge - and we\'re always driven to find the best solution. Our projects are unique and interesting, and you\'ll need to bring a solution-focused, positive approach to each one to do your best. Surrounded by committed, loyal colleagues, if you can dare to bring your ingenuity and desire to make an impact, you\'ll be exposed to game-changing, diverse projects that truly allow you to play your part in the energy transition.

What We Offer

A key role in a dynamic, international working environment with a large degree of flexibility of work agreements.

Competitive benefits, and great development opportunities - including private health insurance.

Additional Information

Relocation Assistance Provided: No

GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.