- Design, develop and deploy AI and machine learning solutions for complex structured and unstructured data
- Build and maintain scalable data and AI/ML pipelines for advanced analytics and automated insight generation
- Apply machine learning, statistical modelling, deep learning, NLP, graph analytics and time-series analysis
- Prepare, transform and integrate large multi-source datasets, including sensor, geospatial and communications data
- Develop predictive models, prototypes and proof-of-concept solutions to identify patterns, trends and anomalies
- Implement, train, tune and validate models in secure, production-grade environments
- Collaborate with data engineers, software engineers and platform teams to deploy solutions into operational systems
- Develop dashboards, visualisations and analytical tools to communicate insights to technical and non-technical stakeholders
- Provide technical leadership and contribute to AI/ML strategy, best practice and capability roadmaps
- Work within multi-disciplinary agile teams with mission analysts and operational users
- Deliver intelligence data exploitation, advanced analytics, operational decision-support systems, data triage and automated analysis of large datasets
Requirements
- Experience working in secure or highly regulated environments
- Understanding of handling sensitive or classified data
- Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning
- Proficiency in the Python data science ecosystem, including NumPy, Pandas, scikit-learn, PyTorch and TensorFlow
- Experience with big data and distributed analytics platforms, including Spark and Hadoop
- Hands-on experience with Natural Language Processing, graph analytics and advanced analytical methods
- Experience using cloud analytics platforms, with strong AWS and native tooling expertise
- Data visualisation skills and experience communicating insights through analytical tools and dashboards
- Ability to work closely with users and stakeholders to understand real-world problems and translate complex analysis into actionable insight
- Must hold a high level security clearance
Core Competencies
Demonstrates expertise in designing and deploying AI and machine learning solutions, with a strong focus on data integration, predictive modeling, and advanced analytics. Proficient in collaborating with cross-functional teams to deliver insights and operational decision-support systems in secure environments.
Highest-signal resume keywords
- AI And Machine Learning Solutions
- Python Data Science Ecosystem
- Natural Language Processing
- AWS Cloud Analytics Platforms
- High Level Security Clearance
ATS Optimization Keywords
Hard Skills
- Machine Learning
- Statistical Modelling
- Deep Learning
- Graph Analytics
- Time-Series Analysis
- Data Integration
- Predictive Modeling
- Data Visualization
- Big Data Analytics
- Distributed Analytics
Soft Skills
- Collaboration
- Communication
- Problem-Solving
- Stakeholder Engagement
- Agile Teamwork
Industry Keywords
- Secure Environments
- Sensitive Data Handling
- Regulated Environments
- Operational Decision-Support Systems
- Intelligence Data Exploitation
Tools & Technologies
- NumPy
- Pandas
- Scikit-learn
- PyTorch
- TensorFlow
- Spark
- Hadoop
- Analytical Tools
- Dashboards
- Cloud Native Tooling
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Data Scientist – Security & Intelligence employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
