Data Science Intern

Wurl

. Perform analysis tasks to identify anomalies and their root causes .

Posted 9/24/2026internshipRemote • United StatesEntry Level💰 $30 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, anomaly detection, and machine learning fundamentals, with a strong foundation in Python and SQL. Capable of translating complex problems into statistical formulations and implementing solutions to enhance data accuracy and quality.

Highest-signal resume keywords

Data AnalysisAnomaly DetectionPython ProgrammingSQL ProficiencyMachine Learning Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisAnomaly DetectionGraph AlgorithmsApplied StatisticsMachine LearningExperiment DesignOptimizationQuantitative ReasoningDebuggingRoot-Cause Analysis

Soft Skills

Effective CommunicationTeam CollaborationIntellectual CuriosityOwnershipIndependent Thinking

Tools & Technologies

SnowflakeDatabricks

Certifications & Qualifications

PhDMScBSc

Industry Keywords

Data ScienceAI/MLStatisticsPhysicsMathematics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Perform analysis tasks to identify anomalies and their root causes
Propose and implement validations to programmatically identify anomalous conditions
Propose methods to normalize data, implement them, check accuracy, and iterate until sufficient accuracy is achieved
Increase the accuracy of derived datasets and data products
Become familiar with Wurl’s datasets and their usage
Support the Data Science and Machine Learning team

Requirements

What you’ll need

Proven academic achievements in data analytics-related fields
PhD/MSc preferred; BSc with high GPA, multiple majors, or notable projects accepted
Degree field in Data Science, AI/ML, Statistics, Physics, Mathematics, or Computer Science
Knowledge of graph algorithms and network analysis
Experience with large-scale data analysis
Knowledge of data quality and anomaly detection
Agentic/AI-assisted software development
Familiarity with distributed data platforms such as Snowflake or Databricks
Strong Python and SQL
Applied statistics and probability
Machine learning fundamentals
Experiment design and causal reasoning
Optimization/decision-making under uncertainty
Ability to write clean, maintainable analytical code
Non-agentic development experience is mandatory
Ability to evaluate models beyond headline metrics
Experience moving from research idea to prototype to validated result
Ability to translate ambiguous problems into mathematical or statistical formulations
Strong intuition for uncertainty, bias, variance, and noisy data
Strong quantitative reasoning and mathematical knowledge
Advanced analytical problem-solving ability
Strong debugging and root-cause analysis skills
Ability to form and test hypotheses quickly
High intellectual curiosity, ownership, initiative, and independent thinking
Effective communication skills and ability to work as a team player

Benefits

Comp & perks

Paid internship ($30/hr) with flexible scheduling
Remote-first work culture and support
Mentorship from experienced engineers and product experts