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GE Vernova

Lead Data Scientist

Posted 2 Days Ago
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In-Office
Stafford, Staffordshire, England
Senior level
In-Office
Stafford, Staffordshire, England
Senior level
The Senior Data Scientist will validate AI/ML models for energy systems, establish validation frameworks, and analyze model performance, collaborating with engineers and product teams to enhance model efficiency and reliability.
The summary above was generated by AI
Job Description SummaryWe are seeking a Lead Data Scientist with solid experience typically gained over a minimum of 5 years in large multinational companies within the energy sector or related industrial domains such as smart infrastructure or industrial automation. The ideal candidate has hands-on experience in AI/ML model testing, verification, and validation in complex, data-rich environments.
In this position, you will be responsible for testing, verifying, and validating advanced AI/ML models for grid innovation, and for contributing to the development of robust validation frameworks across edge and cloud environments. You will collaborate closely with R&D, product teams, and other business units to support the development of effective, reliable, and high-impact AI/ML solutions.

Job Description

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:

  • Experience typically gained over +5 years in large multinational companies within the energy sector or related industrial domains such as smart infrastructure or industrial automation. 
  • Master’s, or Bachelor’s degree in Data Science, Computer Science, Electrical Engineering, or a related field, with hands-on experience in model validation.

  • Solid experience in validating AI/ML models, ensuring they meet business and technical requirements.

  • Strong knowledge of statistical techniques, model performance metrics, and AI/ML validation methodologies.

  • Proficiency in programming languages such as Python, R, or MATLAB.

  • Experience with data wrangling, feature engineering, and dataset preparation 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 deploying models in cloud environments.

  • Experience with data visualization tools (e.g., Tableau, Power BI) to effectively present validation results and insights.

Nice-to-Have Requirements:

  • Familiarity with big data tools and technologies such as Hadoop, Kafka, and Spark.

  • Knowledge of data governance frameworks and validation standards in the energy sector.

  • Understanding of distributed computing environments and large-scale model deployment.

  • Strong communication skills, with the ability to clearly explain complex validation results to non-technical stakeholders.

At GE Vernova - Grid Automation, you will have the opportunity to work on cutting-edge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued, and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.

About GEV Grid Solutions:

At GEV 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 full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable 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

Top Skills

AWS
Azure
GCP
Matlab
Power BI
Python
PyTorch
R
Scikit-Learn
Tableau
TensorFlow

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