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Data Scientist (Generative AI) - Remote

Posted 7 days ago
Data Analysis
Full Time
Worldwide

Overview

The ELEKS Artificial Intelligence Office is seeking a Data Scientist (Generative AI) to lead complex data science projects, focusing on advanced data science methods and generative AI applications.

In Short

  • Lead data science projects from planning through execution.
  • Design and implement analytical solutions using advanced methods.
  • Communicate data-driven insights to diverse stakeholders.
  • Conduct rapid data exploration to test hypotheses.
  • Drive adoption of analytical outputs across the business.
  • Identify and mitigate risks using RAID frameworks.
  • Track benefits from data science initiatives.
  • Ensure compliance with governance frameworks and ethical practices.

Requirements

  • Degree in a relevant discipline with analytical background.
  • Experience in building Generative AI applications.
  • Strong knowledge of data science languages and cloud services.
  • Skilled in advanced modelling techniques.
  • Strong understanding of generative AI, NLP, and machine learning.
  • Able to contribute to evolving AI policies and standards.
  • Ability to develop accurate models ensuring business value.
  • Competence in data modelling and managing data requirements.
  • Effective communication skills.
  • Upper-Intermediate level of English.

Benefits

  • Close cooperation with a customer.
  • Challenging tasks.
  • Competence development.
  • Team of professionals.
  • Dynamic environment with low level of bureaucracy.
Eleks logo

Eleks

ELEKS is a custom software development company that has been delivering value to clients since 1991. With over 2000 professionals located in Delivery Centers across Eastern Europe and sales offices in Europe and North America, ELEKS offers a comprehensive range of software engineering services, including product development, quality assurance, research and development, design, technology consulting, and dedicated teams. The company focuses on streamlining operations for professional and financial services firms, enhancing workflow, compliance, and data-driven decision-making.

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