> Markdown version of [/jobs/ext/1907704-financial-intelligence-data-scientist](https://www.wearedevelopers.com/jobs/ext/1907704-financial-intelligence-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Financial Intelligence Data Scientist - **Company:** Kforce Inc. - **Location:** Washington, DC, United States - **Experience:** Experienced - **Salary:** $166,400.0 - $193,440.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Big Data, Network Analysis, Data Visualization, R (Programming Language), Apache Hive, Intelligence Analysis, Python (Programming Language), MATLAB, Machine Learning, Open Source Technology, Microsoft PowerPoint, Tensorflow, Tableau (Software), Technical Data Management Systems, Unstructured Data, Scripting, Apache Spark, Jupyter, Scikit Learn, Data Analytics, Data Management, Machine Learning Operations - **Published:** August 3, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9073616/financial-intelligence-data-scientist ## About the Role Experience using open-source machine learning frameworks such as scikit-learn, TensorFlow, or similar tools Experience applying machine learning methods to proprietary or complex datasets Experience with statistical analysis and correlation of disparate data sources Experience using OpenSearch or similar analytics platforms Experience with probabilistic modeling, predictive modeling, or related analytical techniques Experience performing data analysis using Python, R, MATLAB, Spark, or similar scripting/data tools Experience implementing machine learning processes into production software applications Experience using big data tools to answer analytical or business questions Experience building property graphs from multiple data sources for network analysis Ability to analyze large, noisy, and unstructured datasets and identify actionable patterns Strong communication skills with the ability to explain technical concepts to varied audiences Active TS/SCI clearance Education & Experience One of the following combinations is required: Associate's degree with 6+ years of data analysis experience Bachelor's degree with 4+ years of data analysis experience Master's degree with 2+ years of data analysis experience, Experience performing data analysis in cleared or intelligence community environments Experience analyzing financial data, trade data, or economic activity Knowledge of Western Hemisphere regional security, crime, or financial issues Knowledge of formal and informal financial systems Understanding of financial crime, illicit finance, and unlawful financial activity typologies Ability to write intelligence products aligned with analytic tradecraft standards Financial intelligence, sanctions, anti-money laundering, or financial crime certification such as CAMS, CGSS, or CFCS Desired Technical Skills Python R MATLAB Spark SQL Jupyter OpenSearch scikit-learn TensorFlow Machine Learning Predictive Modeling Probabilistic Modeling Statistical Analysis Property Graphs Network Analytics Big Data Tools Tableau PowerPoint Data Visualization Financial Intelligence Trade Analysis Illicit Finance Analysis ## Description We are seeking a Financial Intelligence Data Analyst / Data Scientist to support high-impact national security and economic intelligence initiatives. This role focuses on analyzing complex financial, trade, and structured/unstructured datasets to identify patterns, risks, and insights that can inform senior decision-makers and policy stakeholders. The ideal candidate has strong technical data analysis skills, experience applying machine learning and statistical methods, and the ability to translate complex data findings into clear, actionable intelligence products. This role requires someone who can work closely with clients and stakeholders, understand mission needs, and develop data-driven solutions that support financial intelligence and economic security objectives., Analyze large structured, semi-structured, and unstructured datasets to identify trends, patterns, anomalies, and meaningful relationships Develop analytical methodologies to support financial intelligence, trade analysis, and risk assessment efforts Apply statistical analysis, machine learning, and predictive modeling techniques to answer complex mission and business questions Build data-driven solutions that support intelligence analysis and policy decision-making Correlate disparate datasets to uncover hidden relationships, networks, and activity patterns Create visualizations, dashboards, reports, graphs, tables, and presentations to clearly communicate findings Present technical findings and recommendations to clients, stakeholders, and senior decision-makers Use scripting and data science tools to automate analysis, transform data, and improve analytic efficiency Support large-scale financial, trade, or geopolitical analysis based on emerging developments and mission priorities Establish quantitative and qualitative metrics to evaluate trends, risks, and outcomes Develop property graphs from multiple data sources to support network analytics Implement machine learning workflows into production or operational software environments Work with intelligence analysts, data scientists, and technical teams to deliver cross-functional analytic solutions Produce clear written documentation, technical summaries, and analytic products tailored to different audiences ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Kubernetes dev is fun, but setup and ops isn't! See a fun PaaS alternative to push any code, ipynbs or even just data!](https://www.wearedevelopers.com/videos/732-kubernetes-dev-is-fun-but-setup-and-ops-isn-t-see-a-fun-paas-alternative-to-push-any-code-ipynbs-or-even-just-data) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology)