Data Scientist

Experis
Liverpool, UK
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Python (Programming Language) Machine Learning Tensorflow Google Cloud Pytorch Generative AI Scikit Learn Kubernetes
+1 more
Machine Learning Operations

Job description

  • Apply data science, machine learning, and AI techniques to solve complex, real-world problems
  • Research, design, and implement innovative models and solutions
  • Work across the full ML lifecycle from requirements gathering and prototyping to deployment and live service support
  • Deliver high-quality, scalable solutions with measurable impact
  • Collaborate with multidisciplinary teams in agile environments
  • Contribute to new ideas, propositions, and project delivery
  • Build strong relationships with stakeholders and communicate insights effectively

Requirements

  • Proven experience applying data science or machine learning in Defence, Security, public sector, or academia
  • Strong understanding of machine learning models (e.g. Transformers, CNNs, Generative AI) and their practical applications
  • Excellent communication skills with the ability to present complex ideas clearly
  • Experience working with stakeholders and cross-functional teams
  • Track record of contributing to project delivery, innovation, or capability development

Desirable Skills

  • Experience working with text, audio, image, or video data
  • Familiarity with cloud platforms (AWS, Azure, GCP)
  • Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch)
  • Knowledge of statistics and probability
  • Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo)
  • Understanding of Ethical and Responsible AI principles

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