Data Scientist, Defence Services – UK

Overview

In this role you design and deploy AI capabilities within the SitaWare ecosystem to support defence decision-making. You collaborate with Defence customers and internal teams to move AI from concept to operational deployment, focusing on end-user needs. You’ll drive integration of AI services, engage stakeholders, and help customers adopt AI tools during exercises and real-world use. The position combines technical delivery with customer-facing activities across an international team, with travel to UK sites.

Pay / Benefits

• pension scheme
• private healthcare for employee and family
• corporate discounts through ADS Group
• 25 days of holiday plus bank holidays
• time off in lieu
• 37.5-hour working week

Responsibilities

• Integrate AI services and workflows to automate data processing and produce high-value outputs for senior decision-makers
• Engage users and stakeholders to capture AI requirements, drive solutions and adoption
• Collaborate with Data Engineers and Intelligence Domain Advisors to deliver customer value during experimentation and operational activities
• Train customers on data and AI tools to ensure effective use of SitaWare products

Key requirements

• Bachelors degree or higher in Data Science, Computer Science or related field
• Around 2 years of Data Scientist experience in software/IT
• Experience with external customers is desirable
• Knowledge of or experience in the defence/military domain is desirable
• Proven ability to develop and implement machine learning models
• Programming skills in common data science languages, tools and frameworks
• Experience in data preprocessing and feature engineering
• Strong computer science skills to support data science service development
• Fluent English
• UK Driving Licence
• Right to live and work in the UK with eligibility for security checks (UK SC minimum, DV preferred)

• excellent communication
• stakeholder engagement
• teamwork and collaboration
• machine learning model development
• data preprocessing and feature engineering
• programming languages/tools/frameworks common in data science

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