Data Scientist – Security & Intelligence

Jobtailor; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Jobtailor is seeking a senior AI/ML specialist to design, develop and deploy advanced AI/ML solutions for complex structured and unstructured data in secure environments.

You will collaborate with data engineers and platform teams to build scalable pipelines, deliver dashboards and actionable insights for stakeholders. The role requires hands-on expertise in Python data science tools, NLP, graph analytics, time-series analysis and a track record in regulated settings.

Qualifications

• Experience working in secure or highly regulated environments.
• 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.

Responsibilities

• Design, develop and deploy AI/ML solutions for complex data.
• Build and maintain scalable data/AI pipelines for analytics.
• Apply ML, NLP, graph analytics and time-series analysis to data.
• Prepare, transform and integrate large multi-source datasets.
• Develop predictive models and proof-of-concept solutions.
• Train, tune and validate models in secure production environments.
• Collaborate with data/software/platform teams to deploy solutions.
• Develop dashboards and visualisations to communicate insights.
• Provide technical leadership and contribute to AI/ML strategy.
• Work in agile teams with analysts and operational users.
• Deliver intelligence data exploitation and decision-support systems.

Skills

Machine Learning

Statistical Modelling

Deep Learning

Graph Analytics

Time-Series Analysis

Data Integration

Predictive Modeling

Data Visualization

Big Data Analytics

Distributed Analytics

Tools

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

Spark

Hadoop

Dashboards

Cloud Native Tooling

Job description

• 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