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Ernst & Young

Provides consulting, assurance, and tax services

Data Scientist - Industry Tech

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listedIn-person

About the Job

Requirements

  • A master's degree in Data Science, Computer Science, Engineering, or a relevant quantitative field.
  • At least two years of experience developing algorithms, machine learning, or data science solutions.
  • Experience developing with Python and C++.
  • Experience with PyTorch.
  • Experience with Databricks.
  • Experience in a cloud environment using AWS and/or Azure.
  • Ability to learn independently and willingness to deepen knowledge of new technologies and domains.

Responsibilities

  • Develop algorithms and AI solutions in a production environment.
  • Lead projects in automation and optimization of production lines.
  • Develop computer vision and image-processing solutions for industrial processes.
  • Build predictive models, simulations, and supply-chain solutions.
  • Develop agentic AI and AI agents for a range of business use cases.
  • Work with advanced data and machine-learning infrastructure in a cloud environment at scale.

Desired Qualifications

  • Experience with computer vision and image processing.
  • Experience with optimization, simulation, or supply-chain projects.
  • Experience with generative AI and agentic AI.

About the Company

Ernst & Young

Provides consulting, assurance, and tax services

EY (Ernst & Young) is a global professional services firm that provides consulting, assurance, tax, and transaction advisory services across industries such as energy, healthcare, financial services, and real estate. Its work centers on helping clients solve critical business challenges by offering high-value advisory support in areas like supply chain, cybersecurity, sustainability, and digital transformation; revenue comes from fees for consulting, audit, and advisory services. What sets EY apart is its breadth of services across multiple disciplines, deep industry knowledge, and emphasis on thought leadership and research to inform clients’ strategic decisions. The firm aims to help organizations improve operational efficiency, navigate regulatory environments, and stay ahead of market trends by delivering practical, evidence-based guidance and execution support.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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