At a Glance
- Tasks: Lead advanced machine learning projects to tackle real-world defence challenges.
- Company: Join a mission-driven team in the defence sector with a focus on innovation.
- Benefits: Permanent role with career development, training, and exposure to cutting-edge technology.
- Other info: Collaborative environment with opportunities for mentorship and growth.
- Why this job: Make a significant impact while working with advanced analytics and AI/ML solutions.
- Qualifications: Experience in data science, proficiency in Python or R, and strong analytical skills.
The predicted salary is between 60000 - 80000 € per year.
We are seeking an experienced Senior Data Scientist to join a high-impact team supporting critical programmes within the defence sector. This is a permanent position offering the opportunity to apply advanced analytics, machine learning, and data engineering techniques to real-world operational challenges in a secure and mission-driven environment.
The successful candidate will work across multidisciplinary teams, delivering insight-driven solutions that enhance decision-making, operational efficiency, and strategic capability.
Key Responsibilities- Lead the development and deployment of advanced machine learning and statistical models to solve complex defence-related problems
- Work closely with stakeholders to translate operational requirements into analytical solutions
- Design and implement scalable data pipelines and robust data products
- Conduct exploratory data analysis and present actionable insights to technical and non-technical audiences
- Support the integration of AI/ML solutions into secure and regulated environments
- Mentor junior data scientists and contribute to best practice across the team
- Ensure all work complies with relevant security, governance, and ethical standards
- Proven experience as a Data Scientist in a complex or regulated environment (defence, government, aerospace, or similar preferred)
- Strong proficiency in Python or R, with solid experience in SQL
- Demonstrated experience with machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch)
- Experience deploying models into production environments
- Strong understanding of statistics, data modelling, and experimental design
- Ability to communicate complex technical concepts clearly to stakeholders
- Experience working with large, structured and unstructured datasets
- Experience within the UK defence or national security environment
- Knowledge of cloud platforms (AWS, Azure, or GCP) in secure environments
- Familiarity with MLOps practices and tools
- Experience with geospatial, time-series, or signal data
- Active Security Clearance (SC or DV)
- Permanent position in a highly specialised and impactful sector
- Exposure to cutting-edge analytics and AI/ML applications in defence
- Structured career development and training opportunities
- Collaborative and mission-focused working environment
Data Science Data Science Senior Data Scientist (Remote) in City of London employer: ANSON MCCADE
Join a leading organisation in the defence sector that prioritises innovation and collaboration, offering a permanent role as a Senior Data Scientist. With a focus on advanced analytics and machine learning, you will have the opportunity to work on impactful projects while benefiting from structured career development and training in a mission-driven environment. Our hybrid working model promotes flexibility, allowing you to balance on-site presence with remote work, all while contributing to critical programmes that enhance national security.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Remote) in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the defence sector on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Senior Data Scientist role.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving machine learning and data engineering. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising common data science scenarios and being ready to discuss your experience with Python, R, and SQL.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for talented individuals who can contribute to our mission-driven environment.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Remote) in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience in machine learning, data engineering, and any relevant projects you've worked on in the defence sector. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about working in the defence sector and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially in Python, R, and SQL. Mention any experience with machine learning frameworks and cloud platforms. We’re looking for someone who can hit the ground running, so make sure we see your expertise!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python or R, and be ready to discuss your experience with machine learning frameworks like scikit-learn or TensorFlow. Prepare to showcase how you've deployed models in production environments, as this will be crucial for the role.
✨Understand the Defence Sector
Familiarise yourself with the defence sector's unique challenges and operational requirements. Being able to translate these into analytical solutions will impress your interviewers and show that you're not just a data whiz but also understand the mission-driven environment you'll be working in.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to present insights to both technical and non-technical audiences, so being able to communicate effectively is key. Think of examples where you've done this successfully in the past.
✨Show Your Leadership Skills
Since mentoring junior data scientists is part of the job, be prepared to discuss your leadership style and any relevant experiences. Share examples of how you've contributed to best practices in your previous roles, as this will demonstrate your ability to lead and collaborate within multidisciplinary teams.
