FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates proficiency in Python, Java, or Go for developing AI/ML solutions, with a solid understanding of machine learning algorithms and big data technologies. Capable of collaborating effectively with teams and presenting technical findings to stakeholders.
Highest-signal resume keywords
Proficiency In PythonMachine Learning AlgorithmsBig Data TechnologiesData Analysis And VisualizationCloud Computing Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaGoMachine LearningData AnalysisData VisualizationSQLAutomated TestingSystem MonitoringAnomaly Detection
Soft Skills
Effective CommunicationCollaborationMotivationCuriosityEagerness To Learn
Tools & Technologies
AWSAzureGCPDevOps PracticesData WarehousesELT
Industry Keywords
AI/MLFraud PreventionCredit Risk AssessmentData-Driven Decision MakingFinTech Solutions
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformJavaPythonSQLGo
About the role
Key responsibilities & impact- Work on impactful AI/ML projects addressing fraud prevention, credit risk assessment, and data-driven decision making
- Develop platforms and tools to process, enrich, and optimize core company data
- Design, implement, and evaluate machine learning models
- Work with big data technologies for data ingestion, processing, and analysis
- Collaborate with experienced engineers and researchers to solve technical challenges
- Present research findings and project outcomes to team members and stakeholders
- Contribute to WEX's Data, AI, and Risk Technology team and its FinTech solutions
Requirements
What you’ll need- Currently pursuing a Bachelor's degree in Computer Science, Machine Learning, Software Engineering, or related field
- Will have completed at least sophomore year at the start of the internship
- Proficiency in programming languages such as Python, Java, or Go
- Experience with automated testing and system monitoring or other relevant programming languages
- Solid understanding of machine learning algorithms, techniques, and best practices
- Experience with data analysis, manipulation, and visualization
- Desire to learn robust design solutions for small to medium-scale problems or system components
- Ability to clearly communicate technical ideas and collaborate effectively
- Motivation, curiosity, and eagerness to explore new technologies
- Enthusiasm for big data technologies, AI/ML, risk analysis, and cloud infrastructure
- Experience with cloud computing platforms such as AWS, Azure, or GCP is a bonus
- Familiarity with DevOps practices and tools is a bonus
- Contributions to open-source projects or relevant conference publications are a bonus
- Familiarity with data ingestion, cleaning, processing, enrichment, SQL, data warehouses, ELT, AI/ML, anomaly detection, and related tools is a bonus
- Strong desire to solve customer and business problems through thoughtful and effective solutions
Benefits
Comp & perks- 13-week paid internship program
- Mentorship
- Professional development
- Weekly learning experiences
- Remote, hybrid, and onsite options
- Potential for full-time employment or extended roles during the school year
- Health insurance
- Dental insurance
- Vision insurance
- Retirement savings plan
- Paid time off
- Health savings account
- Flexible spending accounts
- Life insurance
- Disability insurance
- Tuition reimbursement
- Quarterly or annual bonus eligibility for non-sales roles