Associate Data Scientist; MI

Requirements

• You’re curious, motivated and keen to build a career in data science and AI. At this stage, we don’t expect you to arrive with a fully polished skillset. What matters most is a strong foundation, evidence of learning and a genuine interest in how data and technology can be used to tackle complex problems
• Your background might be in data science or another technical discipline, or you may be a career changer with transferable skills. We’re equally interested in candidates from STEM, linguistics or other analytical fields where structured thinking, numeracy or problem solving are central. If you can reason carefully, work with data and are open to learning new technical skills, you’ll have the foundations we’re looking for
• You can demonstrate experience with programming through study, work, independent projects or self directed learning. Python is commonly used, though experience with other programming languages is also relevant. You’re comfortable experimenting, researching solutions and building an understanding of how systems work
• You enjoy working as part of a team and are comfortable learning under supervision. Much of the role involves working with non technical colleagues, so you’re able to explain ideas clearly and ask thoughtful questions to understand what’s really being asked
• Above all, you’re adaptable, proactive and committed to developing your skills, with a clear interest in data science and AI beyond formal study

• As AI adoption accelerates across MI6’s most mission critical areas, this role offers a rare opportunity to work at the point where data, AI and technology are reshaping how complex, real world problems are understood and addressed. As an Associate Data Scientist, you’ll join established data science and AI teams working on challenging problems that directly support MI6’s mission
• Working primarily under the supervision of more senior data scientists and engineers, the focus of the role is on learning through contribution. You’ll build your technical capability, develop confidence working with ambiguous problems and apply data science techniques in practical, meaningful ways
• Much of the work involves engaging with mission teams to understand loosely defined problems and explore where data science can add value. You’ll research problems using a range of sources, critically evaluate findings and collaborate with others to design, test and improve solutions. This may include analysing data, building and iterating models, or supporting the use of AI in both defensive and operational contexts
• Day to day, you’ll work with both technical and non technical colleagues. This might involve helping mission teams frame the right questions, explaining findings clearly or refining solutions based on user feedback. As your confidence grows, you’ll develop a stronger understanding of how data science fits into complex systems and take on greater responsibility as part of the team