Data Scientist

iO Associates
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
£ 95K

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
Data Systems
Machine Learning
Google Cloud Platform
Delivery Pipeline
Deep Learning
Kubernetes
Terraform
Docker
Databricks

Job description

We're hiring Junior, Senior, and Lead Data Scientists with an AI focus and enhanced DV Clearance to join a prestigious client delivering high-impact public sector projects.

Our client is a global leader in technology, engineering, and consulting, driving innovation across digital, cloud, and platform solutions. You'll benefit from strong career progression, continuous development opportunities, and an inclusive working environment. What will you be doing?

You'll bring deep technical expertise across machine learning, GenAI, NLP, computer vision, and broader data science to design, build, and scale AI-driven solutions.

The role involves:

  • Working closely with customers to understand challenges and define data-driven solutions
  • Communicating complex technical concepts in a clear and compelling way
  • Leading and motivating Agile teams
  • Shaping proposals, contributing to bids, and supporting RFI/RFP processes
  • Delivering robust, production-ready AI and data solutions

Requirements

  • Strong knowledge of AI and data science techniques, including ML, GenAI, NLP, deep learning, graph analytics, and time-series modelling
  • Excellent communicator able to simplify complexity and engage with stakeholders at all levels
  • Experience contributing to or leading bids, presentations, RFIs/RFPs
  • Hands-on experience with Databricks, AzureML, or similar data science platforms
  • Familiarity with cloud ecosystems such as AWS, Azure, GCP, plus Infrastructure-as-Code (eg, Terraform)
  • Skilled in deploying solutions using Docker, Kubernetes, CI/CD pipelines

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