Finance Data Scientist

Intel Corporation

. Develop algorithms, predictive models, and applications to solve complex business problems using data science techniques .

Posted 9/30/2026full-timeUnited StatesJunior💰 $98,390 - $163,780 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in developing algorithms and predictive models using Python and SQL, with hands-on experience in building applications powered by large language models (LLM). Strong ability to analyze complex datasets, create visualizations, and communicate insights effectively within cross-functional teams.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyPredictive ModelingData Visualization (Tableau, Power BI)Machine Learning Algorithms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical AnalysisLarge Language Model (LLM) DevelopmentData Anomaly DetectionBig Data FrameworksExperimentation TechniquesAPI IntegrationData InterpretationData Science MethodologiesCoding Best Practices

Soft Skills

Strong Communication SkillsCollaborative TeamworkEnthusiasm for Learning

Tools & Technologies

TableauPower BIProprietary Analytical PlatformsCommercial ToolsCustom Scripts

Industry Keywords

Data ScienceFinancial AnalysisWorkflow AutomationData-Driven InsightsCross-Functional Collaboration

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Develop algorithms, predictive models, and applications to solve complex business problems using data science techniques
Perform large-scale experimentation and statistical analysis on structured and unstructured datasets
Interpret datasets to derive meaningful insights
Design and implement visualizations, dashboards, and presentations to communicate data-driven findings
Detect and correct data anomalies to ensure high-quality datasets
Develop and test LLM-powered applications and AI agents connected to approved data sources and tools for financial analysis and workflow automation, with validation and human review
Collaborate with cross-functional teams to explore, compile, and analyze diverse big data sources
Partner with Finance experts to understand data, metric definitions, and business processes
Drive adoption of standard methodologies for coding, analytics, modeling, and experimentation
Troubleshoot service offerings using proprietary analytical platforms, commercial tools, and custom scripts

Requirements

What you’ll need

Bachelor's degree in a relevant field with 0-1 years of hands-on experience in the domain, with demonstrated skills gained through internships, academic projects, coursework, or hands-on training, OR a Master's degree in a relevant field with no prior professional experience
Proficiency in Python and SQL
Knowledge of predictive modeling, machine learning algorithms, and statistical analysis techniques
Understanding of big data frameworks and principles
Hands-on experience building an application using a large language model (LLM), including integration through code with an API or model library, demonstrated through coursework, internships, or personal projects
Familiarity with retrieval-augmented generation (RAG), agent tool calling, or reusable AI components that accelerate application development
Familiarity with data visualization tools like Tableau or Power BI
Strong communication skills to explain complex findings in a clear and impactful manner
Ability to work collaboratively in cross-functional teams
Enthusiasm for learning and applying innovative data science methodologies

Benefits

Comp & perks

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation benefits
Hybrid work model allowing employees to split time between working on-site at their assigned Intel site and off-site