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Systematic

Data Scientist, Defence Services - UK

Systematic is hiring a Data Scientist, Defence Services - UK. Level rates it ; you can apply on Systematic.

Level's read on this job

  • Level rates this data scientist role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Cursor and AI agents among its tools and skills.
  • Level classes it as a mid-level role.
  • Systematic has 42 other open roles on Level.

AI in this role

cursor
ai-agents

 

 

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
  • Fluent English
  • 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 more here. 

 

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
  • 37.5-hour working week

 

Never stop developing

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.

 

Start your development here

We will be assessing applications on an ongoing basis as we wish to welcome our new colleague as soon as possible, so click Apply Now and send us your CV today.

Get in touch

Greta Renner

Talent Acquisition Partner

How we rate this

Data Scientist, Defence Services - UK at Systematic rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsCursor

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through how you've used Cursor in your day-to-day work.

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  • List these exact terms on your resume: AI agents and Cursor. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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