At a Glance
- Tasks: Design and deliver data-driven solutions using machine learning and advanced analytics.
- Company: Leading organisation in digital defence and security, focused on impactful projects.
- Benefits: Competitive salary up to £70,000, with opportunities for professional growth.
- Other info: Collaborative environment with exposure to diverse datasets and career advancement opportunities.
- Why this job: Join a high-performing team and make a real-world impact with your data skills.
- Qualifications: Experience in data science, machine learning, and strong analytical skills required.
The predicted salary is between 70000 - 70000 £ per year.
A leading organisation within the digital defence and security space is looking to bring in a Data Scientist to support the delivery of secure, data-driven solutions across complex government programmes. You’ll be part of a high-performing team working at the forefront of data exploitation, advanced analytics, and machine learning, helping to deliver real-world impact across critical environments. The role offers strong exposure to varied datasets, evolving problem sets, and the opportunity to shape solutions end-to-end.
What You’ll Be Doing:
- You’ll play a key role in designing and delivering data-driven solutions, working across the full machine learning lifecycle from early exploration through to production deployment.
- Operating within a collaborative, multi-disciplinary environment, you’ll combine strong technical capability with practical delivery, helping translate complex data into actionable insights.
- This is a hands-on role where you’ll work closely with analysts, engineers, and stakeholders, developing models, integrating them into real systems, and continuously improving performance in live environments.
Responsibilities:
- Designing, developing, and testing data pipelines to collect, integrate, and prepare data for analytics and ML use cases.
- Analysing complex datasets to identify trends, patterns, and actionable insights.
- Building, prototyping, and validating statistical and machine learning models.
- Taking ownership of ML solutions across the full lifecycle, from development through to deployment and optimisation.
- Deploying models into production environments and integrating them into wider systems.
- Monitoring model performance, identifying drift, and driving continuous improvement.
- Working closely with cross-functional teams to define requirements and enhance data-driven capabilities.
- Communicating findings and recommendations to both technical and non-technical stakeholders.
- Applying data science techniques across varied datasets, including large-scale and unstructured sources.
- Leveraging tools and technologies such as Python, ELK stack, NiFi, APIs, and geospatial platforms.
- Supporting data exploitation use cases, including open-source and intelligence-driven data sets.
- Ensuring solutions align with ethical standards, governance frameworks, and best practice.
- Providing technical guidance and mentoring where needed across the team.
Data Scientist employer: Sanderson Government & Defence
As a leading organisation in the digital defence and security sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Data Scientists to make a real-world impact. With a focus on employee growth, we offer extensive training opportunities and exposure to cutting-edge technologies, all while working in the vibrant city of London. Join us to be part of a high-performing team dedicated to delivering secure, data-driven solutions across complex government programmes.
Contact Details:
Sanderson Government & Defence Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
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We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sanderson Government & Defence, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sanderson Government & Defence. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Sanderson Government & Defence
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sanderson Government & Defence!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
