Junior Data scientist - Digital Services (M/F/D)

Baker Hughes
Florence
Workplace: OnsiteFull timeEUR 38,603.44 - 49,500Function: Data Science & Machine LearningEducation: mastersSkills: ["Analytical thinking","Problem-solving","Communication","Presentation","Collaboration"]

Develop and validate analytical models and machine learning solutions that support forecasting, scenario modeling, and optimization for energy industry use cases. Collaborate with engineers and domain experts to build analytics tools for predictive modeling, equipment health monitoring, and operational analytics. Implement and maintain ML pipelines, contribute to Generative AI/LLM prototyping, monitor model performance, and follow software engineering best practices in an Agile environment.

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Baker Hughes
Baker Hughes
3 months ago

Junior Data scientist - Digital Services (M/F/D)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Develop and validate analytical models and machine learning solutions that support forecasting, scenario modeling, and optimization for energy industry use cases. Collaborate with engineers and domain experts to build analytics tools for predictive modeling, equipment health monitoring, and operational analytics. Implement and maintain ML pipelines, contribute to Generative AI/LLM prototyping, monitor model performance, and follow software engineering best practices in an Agile environment.
Location: Florence
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Collaborate with system engineers, diagnostic engineers, and domain experts to understand business needs and develop analytics solutions.
  • •Apply statistical and machine learning techniques (e.g., regression, Bayesian methods, deep learning) to forecasting, scenario modeling, and optimization activities.
  • •Develop, test, and validate predictive models for equipment health monitoring and operational analytics use cases.
  • •Create and maintain analytics tools for scenario modeling, forecasting, and backcasting, and monitor model performance to ensure quality and reliability.
  • •Support ML pipeline implementation and maintenance, including Generative AI and LLM prototyping, while following coding standards and software development best practices.

Pay and Benefits

Salary: EUR 38,603.44 - 49,500
Perks:Private MedicalLife InsuranceDisability Programs

Key Requirements

  • •Master’s or PhD in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or a related field.
  • •Knowledge of time series modeling, NLP, and agentic AI frameworks.
  • •Programming skills in Python with ML libraries such as TensorFlow, PyTorch, and scikit-learn.
  • •Familiarity with databases, SQL, and large dataset management.
  • •Basic knowledge of cloud platforms (AWS, Azure, or GCP) and MLOps / machine learning lifecycle management.
Education:Master's
Skills:Analytical thinkingProblem-solvingCommunicationPresentationCollaboration
Languages:EnglishItalian
Tech Stack:PythonTensorFlowPyTorchScikit-learnSQLNLPBayesian methodsDeep learningTime series modelingGenerative AILLMsMLOpsAWSAzureGCPMATLABRJava

Company Brief

Baker Hughes
Provides oilfield equipment, technologies, and services for the energy industry, including drilling, production, and industrial solutions. Serves upstream, midstream, and downstream customers worldwide with products and services focused on efficiency and reliability.
Industry: Energy Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Houston, United States
Founded: 1907
WebsiteLinkedIn