Senior Data Scientist / AI Engineer - SC Cleared at Capgemini
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

19 Mar, 25

Salary

0.0

Posted On

13 Nov, 24

Experience

5 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Solution Architecture, Design, Github, Data Science, Strategy, Connectivity, Kubernetes, Docker, Project Risk, Leadership, Computer Vision, Platforms, Presentations, Google Cloud, Technology, Azure, Communication Skills, Sc Clearance, It, Machine Learning, Software

Industry

Information Technology/IT

Description

YOUR SKILLS AND EXPERIENCE

  • Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.).
  • Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form on a day-to-day basis, and managing multiple stakeholder relationships and inspiring team-mates.
  • Experience of winning work with private and public sector clients or internal clients within large organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn)
  • Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform).
  • Technology deployment– proven experience using technologies such as Docker, Kubernetes, CI/CD platforms (e.g. Jenkins, Tekton, ArgoCD), GitHub, to deploy complex solutions robustly and securely.
  • Strong track record of building and leading technical teams, managing workloads and offering technical guidance and leadership, running Agile processes and identifying and mitigating project risk.
Responsibilities

Please refer the Job description for details

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