At a Glance
- Tasks: Fuse multi-INT data to build models and automate data pipelines for national security.
- Company: Join a mission-driven team making a real impact in national security.
- Benefits: Health benefits, life insurance, retirement plans, paid leave, and tuition assistance.
- Other info: Collaborative culture with opportunities for professional growth and development.
- Why this job: Use your data science skills to support critical decision-making in a dynamic environment.
- Qualifications: 5+ years in data science, proficiency in Python/SQL, and experience with multi-INT data.
The predicted salary is between 63000 - 77000 £ per year.
Overview
As an All-Source Intelligence Data Scientist, you fuse multi-INT data to build analytical models, automate data pipelines, and surface decision-ready insights for senior leaders.
You collaborate with intelligence professionals to translate requirements into repeatable, data-driven workflows and develop models that reveal patterns of life.
You create intuitive visualizations to accelerate sense-making and support operational decision-making within a mission-driven team.
This role offers meaningful impact by applying data science to national security missions.
- Pay / Benefits
- health benefits
- life insurance
- disability benefits
- retirement benefits
- paid leave
- tuition assistance
Responsibilities
- Elicit analytic questions from stakeholders and translate them into technical requirements and backlogs within agile processes
- Design end-to-end data solutions: ingestion from collection systems, schema design, ETL, model training/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 apps to communicate insights, assessments, and confidence levels to varied audiences
- Guide teammates, set technical standards, and evolve analytic tradecraft using modern data ecosystems
- Key requirements
- 5+ years in data science across structured and unstructured sources
- Proficiency in Python and SQL or R, with Pandas/Num Py, scikit-learn, and model evaluation/tuning
- Experience building ETL pipelines and querying APIs with Airflow or dbt, and Git version control
- Experience developing predictive models and quantitative analyses for intelligence assessments
- Experience applying NLP or text mining to reporting and open-source content
- Experience integrating multi-INT data (SIGINT, HUMINT, GEOINT, OSINT, MASINT) and conducting pattern-of-life analysis
- Ability to synthesize narrative and quantitative findings
- Active TS/SCI clearance; willingness to take a polygraph
- Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Data Analytics
- Stakeholder engagement
- Clear communication
- Collaborative teamwork
- Python
- SQL or R
- Pandas
All-Source Intelligence Data Scientist in Cambridge employer: Booz Allen Hamilton
Booz Allen is an exceptional employer, offering a dynamic work environment in The Hague, South Holland, where innovation meets collaboration. With a strong focus on employee growth, we provide opportunities to lead cutting-edge projects in Post Quantum Cryptography, ensuring our team members are at the forefront of technological advancements. Our inclusive culture fosters creativity and encourages professional development, making it a rewarding place for those looking to make a meaningful impact in the field of cybersecurity.
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We think this is how you could land All-Source Intelligence Data Scientist in Cambridge
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We think you need these skills to ace All-Source Intelligence Data Scientist in Cambridge
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
