Experience with Palantir Foundry, such as Pipeline Builder or AIP, or similar platforms for application development 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 special operations
Master’s degree in a related technical field
DoD 8140 baseline Level II certification such as Security+, CySA+, or CISSP
Full description
All-Source Intelligence Data ScientistThe 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
Engage 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 developing 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
All-Source Intelligence Data Scientist at Booz Allen (Cambridgeshire) — aijobsearch
Nice If You Have:
Experience with Palantir Foundry, such as Pipeline Builder or AIP, or similar platforms for application development 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 special 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 development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.