£339/day
Liverpool, England
Contract, Variable

Data Scientist

Posted by Teqniq Ltd.

Job Description:

Job Title: Data Scientist

Job Type: Hybrid

Role Overview:

We are seeking a highly skilled Data Scientist specializing in Generative AI to join our team. The selected candidate will leverage Azure OpenAI Studio to develop and integrate AI models that can process various pieces of text, rationalize the data, and produce a consolidated draft output. This draft will then be evaluated by a human checker, creating a feedback loop that feeds back into the AI system for continuous improvement. This AI model will then need to be integrated back into operational service applications, ideally through the AI model being called by Python notebooks within Azure Synapse or Microsoft Fabric.

Responsibilities:

  • Develop and deploy Generative AI models using Azure OpenAI Studio.
  • Integrate AI models into Python notebooks in Azure Synapse or Microsoft Fabric.
  • Collaborate with data engineers and other key colleagues across the organization to ensure project success.
  • Support junior data scientists by providing guidance, mentorship, and training.
  • Maintain a high focus on the ethics and security of personal information throughout the project.

Skills and Abilities

  • Strong background in Python and SQL.
  • Proficiency in using Azure OpenAI Studio for Generative AI model development.
  • Experience with Azure Synapse or Microsoft Fabric for integrating AI models into Python notebooks.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills for effective collaboration with colleagues and stakeholders.
  • Commitment to ethical practices and the security of personal data.

Behaviours:

  • Proactive and self-motivated with a strong work ethic.
  • Collaborative mindset with a focus on team success.
  • Adaptable and flexible in a dynamic work environment.
  • Detail-oriented with a commitment to delivering high-quality work.
We use cookies to measure usage and analytics according to our privacy policy.