You must have a post-graduate degree in a relevant field, experience in data analytics and anomaly detection, strong Python skills, good communication, teamwork, and the right to work in the UK.

You will perform literature searches on Anomaly Detection, develop and review methods, collaborate on tools and processes, and apply methods to engineering projects.

Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver.

GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, 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.

Together, we have The Energy to Change the World.

Energy

GE Vernova

Job Description Summary We are opening a new 12 months fixed term position for a postgraduate internship in the area of Data Analytics Job Description About Us GE Vernova is a multi-national organisation, employing over 80,000 people worldwide. In the GE Vernova Gas Power Analytics & Digital engineering team, based in Rugby, we are constantly evaluating methods and algorithms that offer the opportunity to improve the efficiency and effectiveness of our engineering design and analysis tools and processes. Our main area of interest is automation and optimisation of engineering design processes. We enjoy a multi-cultural working life at GE Vernova, and promote a friendly and productive working environment. About The Work We require for a Data Analytics intern. This role will include the study of data management techniques for our engineering applications, under the direction of our team members. The scope of work is expected to be, but not limited to * Perform literature searches on Anomaly Detection techniques. * Methods development * The candidate is expected to perform methods reviews to improve existing data management and data visualisation capabilities. * Develop tools and processes whilst working in collaboration with team members and external academic partners. * Methods application * Support of application of relevant methods to various engineering projects Requirements * Post-graduate degree in Mathematics, Statistics, Machine Learning or Data Science. * Experience in developing Data Analytics models. * Experience with Anomaly Detection techniques. * Strong Python programming skills. * Good communication skills. * Good, adaptable team worker, eager to learn and develop. * Ability and confidence to work independently. * Existing permit to work in UK. Miscellaneous * Starting date: November 2024 * Duration: Up to 12 months * Location: Work will be based at GE Vernova Power, Rugby,Warwickshire. CV21 1BD (remote working will be an option). * Working hours: 37.5 hours per week * Holiday: 2 days per month * Payment: Based on GE internship salary scale Additional Information Relocation Assistance Provided: No

Job Description SummaryWe are opening a new 12 months fixed term position for a postgraduate internship in the area of Data AnalyticsJob DescriptionAbout UsGE Vernova is a multi-national organisation, employing over 80,000 people worldwide.In the GE Vernova Gas Power Analytics & Digital engineering team, based in Rugby, we are constantly evaluating methods and algorithms that offer the opportunity to improve the efficiency and effectiveness of our engineering design and analysis tools and processes. Our main area of interest is automation and optimisation of engineering design processes.We enjoy a multi-cultural working life at GE Vernova, and promote a friendly and productive working environment.About The WorkWe require for a Data Analytics intern. This role will include the study of data management techniques for our engineering applications, under the direction of our team members. The scope of work is expected to be, but not limited to * Perform literature searches on Anomaly Detection techniques. * Methods development    * The candidate is expected to perform methods reviews to improve existing data management and data visualisation capabilities.    * Develop tools and processes whilst working in collaboration with team members and external academic partners. * Methods application    * Support of application of relevant methods to various engineering projects      Requirements * Post-graduate degree in Mathematics, Statistics, Machine Learning or Data Science. * Experience in developing Data Analytics models. * Experience with Anomaly Detection techniques. * Strong Python programming skills. * Good communication skills. * Good, adaptable team worker, eager to learn and develop. * Ability and confidence to work independently. * Existing permit to work in UK.      Miscellaneous * Starting date: November 2024 * Duration: Up to 12 months * Location: Work will be based at GE Vernova Power, Rugby,Warwickshire. CV21 1BD (remote working will be an option). * Working hours: 37.5 hours per week * Holiday: 2 days per month * Payment: Based on GE internship salary scale      Additional InformationRelocation Assistance Provided: No

Data Analytics Internship - GE Vernova

&lt;strong&gt;Job Description Summary&lt;br&gt;&lt;br&gt;&lt;/strong&gt;We are opening a new 12 months fixed term position for a postgraduate internship in the area of Data Analytics&lt;br&gt;&lt;br&gt;&lt;strong&gt;Job Description&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;strong&gt;About Us&lt;br&gt;&lt;br&gt;&lt;/strong&gt;GE Vernova is a multi-national organisation, employing over 80,000 people worldwide.&lt;br&gt;&lt;br&gt;In the GE Vernova Gas Power Analytics &amp;amp; Digital engineering team, based in Rugby, we are constantly evaluating methods and algorithms that offer the opportunity to improve the efficiency and effectiveness of our engineering design and analysis tools and processes. Our main area of interest is automation and optimisation of engineering design processes.&lt;br&gt;&lt;br&gt;We enjoy a multi-cultural working life at GE Vernova, and promote a friendly and productive working environment.&lt;br&gt;&lt;br&gt;&lt;strong&gt;About The Work&lt;br&gt;&lt;br&gt;&lt;/strong&gt;We require for a Data Analytics intern. This role will include the study of data management techniques for our engineering applications, under the direction of our team members. The scope of work is expected to be, but not limited to&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Perform literature searches on Anomaly Detection techniques.&lt;/li&gt;&lt;li&gt;Methods development&lt;/li&gt;&lt;ul&gt;&lt;li&gt;The candidate is expected to perform methods reviews to improve existing data management and data visualisation capabilities.&lt;/li&gt;&lt;li&gt;Develop tools and processes whilst working in collaboration with team members and external academic partners.&lt;/li&gt;&lt;/ul&gt;&lt;li&gt;Methods application&lt;/li&gt;&lt;ul&gt;&lt;li&gt;Support of application of relevant methods to various engineering projects&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/ul&gt;&lt;strong&gt;Requirements&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Post-graduate degree in Mathematics, Statistics, Machine Learning or Data Science.&lt;/li&gt;&lt;li&gt;Experience in developing Data Analytics models.&lt;/li&gt;&lt;li&gt;Experience with Anomaly Detection techniques. &lt;/li&gt;&lt;li&gt;Strong Python programming skills.&lt;/li&gt;&lt;li&gt;Good communication skills.&lt;/li&gt;&lt;li&gt;Good, adaptable team worker, eager to learn and develop.&lt;/li&gt;&lt;li&gt;Ability and confidence to work independently.&lt;/li&gt;&lt;li&gt;Existing permit to work in UK.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Miscellaneous &lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Starting date: November 2024&lt;/li&gt;&lt;li&gt;Duration: Up to 12 months&lt;/li&gt;&lt;li&gt;Location: Work will be based at GE Vernova Power, Rugby,Warwickshire. CV21 1BD (remote working will be an option).&lt;/li&gt;&lt;li&gt;Working hours: 37.5 hours per week&lt;/li&gt;&lt;li&gt;Holiday: 2 days per month&lt;/li&gt;&lt;li&gt;Payment: Based on GE internship salary scale&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;&lt;strong&gt;&lt;strong&gt;Additional Information&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;/strong&gt;&lt;/strong&gt;&lt;strong&gt;Relocation Assistance Provided: &lt;/strong&gt;No

Data Analytics Internship

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GE Vernova

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