Data Scientist for Wind Turbine Analytics

il y a 2 semaines

Nantes, Pays de la Loire, France Univers Temps plein

Company Overview

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Univers Bazefield is a leading provider of the Bazefield Operation Management System, specialising in renewable energy solutions. We develop and deliver Bazefield as a Software as a Service platform or on-premises solution.

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About the Role

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We are seeking an experienced Data Scientist to join our team focused on digitalisation of renewable energy and energy IoT at Univers Bazefield. The successful candidate will be based in Nantes or Paris with remote work options available. As part of this team, you will collaborate closely with global experts in renewable energy and work cross-functionally with software development teams.

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Responsibilities

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  • ">
  • Drive product development by actively programming and contributing to the product roadmap, implementing both physics-based and machine learning-based solutions.">
  • Predictive maintenance models: build predictive algorithms focused on assessing the health of critical wind turbine components, such as blades, gearboxes, bearings, and generators, with an emphasis on using advanced AI techniques.">
  • Product management: determine the most effective way to present analysis results to users, ensuring they drive actionable insights and maximise value.">
  • Integration into software platforms: work with software development teams to integrate diagnostic algorithms into real-time monitoring platforms, ensuring scalability, user-friendliness, and providing engineers with actionable information.">
  • Continuous optimisation: enhance existing monitoring systems and develop new algorithms based on evolving wind turbine technology, changes in environmental conditions, and new data sources (e.g., drones, lidar).">
  • Cross-functional collaboration: work closely with internal teams and external stakeholders to drive project alignment and value.">
  • Serve as a thought leader: represent the company as an industry expert through presentations, publications, and market-facing activities to drive product recognition and adoption.">
  • Contribute to the creation of AI-driven software products, specialising in wind turbine analytics and component failure prediction.">
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Requirements

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  • Masters or PhD in Data Science, Machine Learning, Applied Mathematics, Computer Science, or a related field.">
  • Strong understanding of machine learning and deep learning techniques and frameworks.">
  • Proficiency in Python, experience in time series analysis, statistics, and machine learning.">
  • Strong background in wind turbine performance analysis and fault detection.">
  • Experience in the development and deployment of AI-driven products in the wind industry.">
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Salary and Benefits

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The estimated salary for this role is €80,000 - €110,000 per year, depending on qualifications and experience. Univers offers a comprehensive benefits package, including health insurance, retirement savings plan, and generous paid time off.

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Location

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Nantes, Paris, Madrid, or within travelling distance to a Univers office location.

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Contact Information

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Please submit your application online.

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