All-Source Intelligence Data Scientist
Booz Allen Hamilton
- Location
- Cambridgeshire
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 9 approvals (FY2023)
- Posted
- Sep 17, 2026
Skills
About this role
All-Source Intelligence Data Scientist The Opportunity: 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. What You’ll Do 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 NumPy, 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 ArcPro, and GEOINT collection systems, and with Grafana, Power BI, or Tableau Experience with deep learning frameworks, such as PyTorch or TensorFlow, 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 investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional