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Source Intelligence Data Scientist

Job in Cambridgeshire and Peterborough, Peterborough, Cambridgeshire, PE1, England, UK
Listing for: Booz Allen Hamilton
Full Time position
Listed on 2026-10-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 74000 - 168000 GBP Yearly GBP 74000.00 168000.00 YEAR
Job Description & How to Apply Below
Position: All-Source Intelligence Data Scientist
Location: Cambridgeshire and Peterborough

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

Massive volumes of multi-INT data including structured, semi-structured, and unstructured, demand disciplined analysis to drive timely, mission- relevant insight. As a Data Scientist supporting All-Source Intelligence, you will fuse information across SIGINT, HUMINT, GEOINT, OSINT, and related sources to build analytical models, automate pipelines, and surface decision-quality assessments for senior leaders and operators. You’ll partner closely with intelligence professionals to translate collection requirements into repeatable, data-driven workflows, design and implement algorithms that uncover patterns of life, and deliver intuitive visualizations that accelerate sense-making and operational advantage.

Work with us as we apply data science to advance national security missions.

The Opportunity:
  • E nga ge stakeholders to elicit analytic questions and transform them into technical requirements and prioritized backlogs, and drive transparency through agile practices and frequent updates.
  • Design end-to-end data solutions: ingestion from collection systems and APIs, schema design and data storage, transformation / ETL, model training and evaluation, and operational delivery.
  • Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets.
  • Build dashboards and lightweight applications that communicate key insights, assessments, and confidence levels to audiences with varied technical backgrounds.
  • Guide teammates, set technical standards, and lead the evolution of analytic tradecraft leveraging modern data ecosystems.

Join us. The world can’t wait.

You Have:
  • 5+ years of experience in data science, including exploration, cleaning, analysis, visualization, or data mining, with demonstrated work across structured and unstructured sources
  • Experience in Python and SQL or R, and with Pandas or Num Py, scikit-learn, and model evaluation or tuning
  • Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control
  • Experience develop ing predictive models and quantitative analyses that support intelligence assessments and operational decision-making
  • Experience applying NLP or text mining to reporting and open-source content
  • Experience integrating multi-INT data such as SIGINT, HUMINT, GEOINT, OSINT, or MASINT, and performing pattern-of-life analysis
  • Ability to synthesize narrative and quantitative findings
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Data Analytics
Nice If You Have:
  • Experience with Palantir Foundry, such as Pipeline Builder or AIP, or similar platforms for application develop ment and data integration
  • Experience with distributed data and compute, such as Spark or Databricks, Hadoop or Hive, Kafka, or AWS EMR, and cloud environments used by the IC
  • Experience with geospatial analysis tools, such as ArcGIS or Arc Pro, and GEOINT collection systems, and with Grafana, Power BI, or Tableau
  • Experience with deep learning frameworks, such as PyTorch or Tensor Flow, and modern AI patterns such as retrieval-augmented generation ( RAG ) for analytic workflows
  • Experience supporting CCMDs, service components, or spe cia l operations
  • Master’s degree in a related technical field
  • DoD 8140 baseline Level II certification such as Security+, CySA+, or CISSP
Clearance:

Applicants selected will be subject to a security…

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