Data Scientist

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central London.

• Must have active enhanced DV Clearance
• Junior to Lead levels available
• £45k to £95k DoE plus 15% clearance bonus
• Must be willing to be full-time on-site in Central London
• Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy

Who are we?

We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture.

What will the Data Scientist be doing?

Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment.

Key Skills and Requirements

• Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis.
• Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes.
• Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors.
• Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform.
• Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools.

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