Senior AI Data Scientist — Public Sector (Hybrid)

IBM

Manchester

On-site

GBP 60,000 - 85,000

Full time

14 days+
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Benefits offered by this job

Training opportunities
Internal recognition programs
Work-life balance support
25 days holiday plus public holidays
Private medical, dental & optical cover

Job summary

A leading technology consulting firm is seeking a Senior Data Scientist to design and develop AI solutions. The candidate should have strong proficiency in Python and experience with AI frameworks such as TensorFlow or PyTorch. This role involves collaborating on cognitive computing strategies and leading the deployment of cutting-edge AI technologies. Ideal candidates have a Bachelor's Degree and a proven track record in delivering AI solutions. The position offers flexible working and a commitment to diversity and inclusion.

Qualifications

  • Strong proficiency in Python and experience with AI frameworks.
  • In-depth understanding of foundation models and large language models.
  • Familiarity with cloud platforms and related services.

Responsibilities

  • Lead the design, development, and deployment of AI solutions.
  • Collaborate on cognitive computing strategies and guide AI project lifecycle.
  • Conduct exploratory data analysis and model selection.

Skills

Proficient in Python
Experience with AI frameworks
Understanding of foundation models
Excellent communication skills

Education

Bachelor’s Degree

Tools

TensorFlow
PyTorch
Keras
AWS
Azure
GCP

Job description

A leading technology consulting firm is seeking a Senior Data Scientist to design and develop AI solutions. The candidate should have strong proficiency in Python and experience with AI frameworks such as TensorFlow or PyTorch. This role involves collaborating on cognitive computing strategies and leading the deployment of cutting-edge AI technologies. Ideal candidates have a Bachelor's Degree and a proven track record in delivering AI solutions. The position offers flexible working and a commitment to diversity and inclusion.
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