drjobs Data Scientist – Validation (Energy Systems)

Data Scientist – Validation (Energy Systems)

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Job Location drjobs

Stafford - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Description Summary

GE Vernova is accelerating the path to more reliable affordable and sustainable energy while helping our customers power economies and deliver GE Vernova is accelerating the path to more reliable affordable and sustainable energy while helping our customers power economies and deliver the electricity that is vital to health safety security and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world

We are seeking a highly skilled and resultsdriven Data Scientist Validation to join our team primarily focusing on validating AI/ML models for grid innovation applications. This role will involve rigorous testing validation and verification of AI/ML models with grid data to ensure they meet accuracy performance and operational standards within energy systems. Reporting to the AI leader in the CTO organization the Data Scientist will collaborate closely with Grid Automation (GA) product lines R&D teams product management and other GA functions.

The ideal candidate will have significant experience in the energy sector specifically in energy systems and 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). They should have a strong understanding of how to apply data science and data engineering techniques to develop validate and enhance AI/ML models within these complex and datarich environments.

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 realworld 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.

MustHave Requirements

  • PhD Masters or Bachelors degree in Data Science Computer Science Electrical Engineering or a related field with handson 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 Scikitlearn) 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.

NicetoHave 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 nontechnical stakeholders.

At GE Vernova Grid Automation you will have the opportunity to work on cuttingedge 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 were always driven to find the best solution. Our projects are unique and interesting and youll need to bring a solutionfocused 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 youll be exposed to gamechanging 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

Employment Type

Full-Time

Company Industry

About Company

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