Applied Scientist Intern

Upstart

. Become a specialist in Upstart’s models, products, business, and/or codebase .

Posted 9/18/2026internshipRemote • United StatesEntry Level💰 $141,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical and machine learning theory, with strong capabilities in data analysis and model evaluation using Python. Proficient in translating research findings into actionable recommendations and collaborating with stakeholders to drive improvements.

Highest-signal resume keywords

Statistical TheoryMachine Learning TheoryData AnalysisPython ProgrammingModel Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisMachine LearningData EvaluationFeature EngineeringExperimental DesignPredictive ModelingSQLEconometricsSupervised LearningRigorous Validation

Soft Skills

Problem IdentificationCommunicationCollaborationSelf-Directed InvestigationStakeholder Alignment

Tools & Technologies

Claude CodeCodex

Industry Keywords

Quantitative FieldPredictive PerformanceBusiness ValueModel EnhancementResearch Findings

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Become a specialist in Upstart’s models, products, business, and/or codebase
Identify problems or opportunities for improvement and communicate them to the team
Conduct self-directed investigations and offline analyses
Present findings to the machine learning team
Research machine learning and statistical approaches to improve predictive performance and/or business value
Design, implement, and evaluate model, product, or technical enhancements through rigorous experimentation and validation
Translate research findings into recommendations, documented methodologies, and production-ready solutions
Align stakeholders with a mentor and drive next steps
Collaborate with experienced machine learning practitioners to improve products and models

Requirements

What you’ll need

Bachelor, Masters or PHD degree in mathematics, statistics, physics, econometrics, computer science, or a related quantitative field
On track to graduate by 2028
Strong fundamentals in statistical, probability, and machine learning theory
Ability to perform data analysis and evaluate machine learning or statistical models using Python
Basic SQL foundations
Ability to use modern agentic tooling such as Claude Code and Codex efficiently
Experience in supervised learning, model evaluation, and feature engineering techniques (preferred)
Advanced statistical theory/econometrics knowledge (preferred)
Strong coding skills in Python (preferred)

Benefits

Comp & perks

Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
Retirement benefits including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually
Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
Comprehensive health coverage including medical, dental, vision, and wellness resources for US; supplemental health coverage for Canada
Health Savings Account contributions for eligible plans (US only)
Life insurance and disability coverage
Paid time off, sick leave, and company holidays
Paid family and parental leave
Family-centered benefits supporting fertility, parenthood, and caregiving
Employee Assistance Program offering mental health support and life-centered resources
Financial planning tools and financial concierge service (US only)
Annual wellness allowance
Annual productivity allowance for relevant tools and resources
Team events, all-company updates, and employee resource groups
Onsite perks including catered lunches and stocked micro-kitchens at offices