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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in designing and implementing predictive models using Machine Learning and LLM-based approaches, with strong skills in Python and SQL for data analysis and visualization. Capable of leveraging AI systems to enhance data workflows and provide actionable insights through statistical analysis and dashboard creation.
Highest-signal resume keywords
Machine Learning ImplementationPython ProgrammingStatistical AnalysisAzure Cloud ServicesAI/LLM Systems Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Predictive ModelingStatistical AnalysisHypothesis TestingData CleaningData VisualizationPythonSQLPower BIAI SystemsCloud Computing
Soft Skills
Critical ThinkingProblem-SolvingCommunicationIndependenceProactive Learning
Tools & Technologies
Power BIAzureClaudeChatGPTPandasSeabornScikit-learn
Industry Keywords
Data AnalysisBusiness StrategyKPI TrackingOKR TrackingData Quality
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPandasPythonScikit-LearnSQL
About the role
Key responsibilities & impact- Support the design and implementation of predictive models, including ML and LLM-based approaches
- Explore and prototype AI-powered tools or agents using Claude or other AI systems to automate and enhance analysis, reporting, and data-quality workflows
- Conduct statistical analysis and hypothesis testing on large business datasets
- Build dashboards and visualizations in tools like Power BI to track KPIs, OKRs, and experiment results
- Collaborate with cross-functional teams to understand data needs and provide actionable insights
- Work with cloud-based data and services in Azure to run experiments and deploy prototypes
- Identify trends and patterns in data to drive business strategy and performance improvements
- Clean, explore, and validate complex datasets using Python and SQL
- Translate findings into clear summaries for internal stakeholders
- Propose analysis ideas or improvements
Requirements
What you’ll need- Currently pursuing a degree in Mathematics, Statistics, Computer Science, or similar
- Enrolled in a Dutch university during the entire duration of the internship (6 months minimum)
- Live in Amsterdam or close by and willing to commute to the office at least twice a week
- Available at least 32h/week
- Ability to leverage AI, with experience using AI/LLM systems (e.g. Claude Code, ChatGPT, or similar)
- Experience with Python (pandas, seaborn, scikit-learn) and SQL
- Solid understanding of statistics: hypothesis testing, confidence intervals, significance, etc.
- Familiarity with a cloud platform such as Azure, AWS, or GCP
- Strong critical thinking and problem-solving mindset
- Comfortable working independently and learning proactively
- Outstanding verbal and written communication skills in English
Benefits
Comp & perks- NS business card if you come by train and are located more than 10km away from the office
- Real-world experience solving meaningful business problems
- High ownership of your work—you’ll be treated like an analyst and part of the team, not a task-taker
- Mentorship from experienced professionals
- A flexible and friendly hybrid working environment in Amsterdam