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Radiance Technologies

Data Scientist

All Cannings
Posted 20 days ago
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Data Scientist

Advanced Trade Analytics Platform (ATAP)

Remote (U.S.)

Active Top Secret Clearance Required

Solve Complex Problems with Data, AI, and Advanced Analytics

Radiance Technologies is seeking a Data Scientist to support U.S. Customs and Border Protection's (CBP) Advanced Trade Analytics Platform (ATAP). In this role, you will develop advanced analytical solutions, machine learning models, and data-driven insights that support critical trade enforcement and national security missions.

Working alongside government leaders, analysts, engineers, and fellow data scientists, you will transform complex datasets into actionable intelligence that improves operational effectiveness and supports informed decision-making.

What You'll Do

Apply statistical analysis, machine learning, and artificial intelligence techniques to solve complex business and mission challenges. Analyze large datasets to identify trends, patterns, anomalies, and operational insights. Develop predictive, prescriptive, and advanced analytical solutions. Design, build, evaluate, and refine machine learning models. Develop data visualizations, dashboards, and analytical products that communicate findings effectively. Transform raw data into actionable recommendations for stakeholders. Collaborate with customers to understand mission needs and operational requirements. Support enterprise analytics initiatives and decision-support capabilities. Participate in model validation, testing, and quality assurance activities. Provide technical leadership and mentoring within project teams. Participate in Agile development activities and cross-functional collaboration.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Required Qualifications

Education

Master's Degree Or Ph.D. In

Data Science Statistics Applied Mathematics Computer Science Operations Research Artificial Intelligence Or a related quantitative discipline

A Ph.D. may substitute for up to three years of relevant experience.

Experience

Six (6) years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines. Three (3) years of direct machine learning experience. Experience working with large-scale structured and complex datasets. Experience developing predictive and prescriptive analytics solutions. Experience designing and implementing statistical and machine learning models. Experience supporting enterprise analytics and decision-support initiatives.

Knowledge & Skills

Expertise in data mining, statistical analysis, machine learning, artificial intelligence, and data visualization. Strong analytical, quantitative, and problem-solving skills. Ability to communicate analytical concepts and findings to technical and non-technical audiences. Ability to independently lead analytical efforts from concept through implementation.

Preferred Qualifications

Experience supporting CBP, DHS, defense, intelligence, law enforcement, financial crimes, or trade-related programs. Experience with trade analytics, fraud detection, risk scoring, compliance monitoring, or investigative analytics. Experience developing production-ready machine learning solutions. Familiarity with Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Explainable AI, and MLOps practices. Experience with cloud-based analytics and enterprise data platforms.

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Preferred Technical Skills

Python SQL R Spark Databricks TensorFlow PyTorch Scikit-Learn Power BI Tableau Git Agile Methodologies

Security Requirements

Active Top Secret security clearance required. Ability to obtain and maintain access to DHS and CBP systems and facilities.

Why Radiance?

Radiance Technologies is a 100% employee-owned company dedicated to solving complex national security challenges through innovation, technical excellence, and mission-focused solutions. We provide opportunities to work on meaningful programs, collaborate with talented professionals, and grow your career while making a direct impact.

Benefits

100% Employee-Owned (ESOP) Remote Work Flexibility Meaningful National Security Mission Exposure to Advanced Analytics, AI, and Big Data Technologies Career Growth and Professional Development Collaborative and Innovative Culture Competitive Compensation and Benefits

Join Radiance Technologies and help transform data into mission success.

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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Skills

Data Mining
Statistical Analysis
Machine Learning
Artificial Intelligence
Data Visualization
Analytical Skills
Problem-Solving
Python
SQL
R
Spark
Databricks
TensorFlow
PyTorch
Scikit-Learn
Power BI

Location

All Cannings, England, United Kingdom

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