Data Scientist, Defence Services - UK

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Data Scientist – Defence, UK

Ever wondered what it takes to turn raw data into decisions that matter on the battlefield? As a Data Scientist at Systematic, you'll design and build the AI capabilities that give defence forces a real operational edge – and work directly with the people who use them.

The job: AI that makes a difference, from concept to customer

Working closely with Defence customers and internal teams, you will design, implement, and support AI-driven solutions within Systematic's SitaWare ecosystem, contributing directly to real-world operational effectiveness. You'll take AI capabilities from concept through to deployment, always keeping the end user's needs in focus.

In short, you can look forward to:

• Integrating AI services, including agentic workflows, to automate data processing and analysis, generating high-value outputs that support senior decision-makers
• Engaging users and stakeholders to capture AI requirements, drive solutions and adoption
• Collaborating with Data Engineers and Intelligence Domain Advisors to deliver customer value during experimentation and operational activities, including military exercises
• Training customers on data and AI tools to ensure effective operational use of SitaWare products

You’ll be based in Farnborough, Hampshire, UK, and should expect around 30% travel time – mainly domestic travel to support customers on-site at their locations across the UK, plus some international travel for customer activities and internal company activities such as training.

The team: join a collaborative and international team, close to the customer

You’ll join a team of 18 colleagues spread across Farnborough (UK), Bucharest (Romania) and Paris (France). The Western Europe team is a multidisciplinary group of project managers, solution architects, engineers, trainers and consultants, working highly collaboratively to ensure successful delivery of our projects. You’ll report to a Senior Manager and work alongside Data Engineers and Intelligence Domain Advisors on a daily basis.

What you bring: technical capability and a problem-solving mindset

You hold a Bachelor's degree or higher in Data Science, Computer Science or a related field, along with around 2 years of experience in a Data Scientist role within the software/IT industry. Experience working directly with external customers is desirable, as is knowledge of, or experience in, the defence/military domain.

• Demonstrated expertise in developing and implementing machine learning models
• Programming skills in languages, tools and frameworks commonly used in data science
• Experience in data preprocessing and feature engineering
• Computer science skills to support the overall development of the data science service
• UK Driving Licence

You’re comfortable working well in teams or independently, bring excellent communication and stakeholder engagement skills, and are a strong problem-solver.

Please note that you must have the right to live and work in the UK and meet the requirements for security checks commensurate with your role (UK SC minimum, DV preferred). Read morehere .

Benefits – Systematic Farnborough

• Stakeholder pension scheme operated by Scottish Widows
• Private healthcare for employee, extendable to cover family at a small extra cost
• Corporate discounts through our ADS Group membership
• 25 days of holiday plus bank holidays
• Time off in lieu

Systematic is Denmark's largest privately owned software company, developing innovative IT solutions since 1985. Proudly Danish, truly international and people-centric, we create intelligent software that drives progress and improves lives. Our solutions support critical decision-making in defence, healthcare and the utilities, with over one million daily users across more than 50 countries. Trusted by over 50 nations and NATO, our SitaWare software advances military operations, while our Columna solutions enhance care in hospitals worldwide. At Systematic, we never stop developing – it is not just a place to work but a place to belong.

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