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Intern Python Data Science Jobs in Irvine, CA (NOW HIRING)

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Translate business and operational needs into scalable data science solutions and modeling ... Proficiency in programming languages such as Python and database management including SQL * Strong ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

Translate business and operational needs into scalable data science solutions and modeling ... Proficiency in programming languages such as Python and database management including SQL * Strong ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site +1

Translate business and operational needs into scalable data science solutions and modeling ... Proficiency in programming languages such as Python and database management including SQL * Strong ...

Saransh Inc

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

AI/ML, Data Science, AI Architecture, Python, LLM, CI/CD Must Have Skills: • Python & Backend Development • LLM / Generative AI Application Development • Agent-Based AI Systems • RAG / Vector ...

Info Dinamica Inc

AI/ML Architect

Irvine, CA · Hybrid

$68.50 - $88/hr

AI/ML, Data Science, AI Architecture, Python, LLM, CI/CD Must Have Skills: Python & Backend Development LLM / Generative AI Application Development Agent-Based AI Systems RAG / Vector DB / Embeddings ...

omega solutions, Inc.

Sr. Data Scientist

Santa Ana, CA · On-site

Sr. Data Scientist Santa Ana, CA 6 months : What is the specific title of the position? Senior Data ... SQL, Python, Spark, Hive Libraries: Scikit-Learn, Numpy Analytics: Regression, Classification ...

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All JobsIntern Python Data Science JobsIntern Python Data Science Jobs in Irvine, CA

Intern Python Data Science information

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How much do intern python data science jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for intern python data science in Irvine, CA is $24.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $26.30 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern Python Data Science, and why are they important?

To excel as an Intern Python Data Science, you should have a solid grasp of Python programming, statistics, and foundational data analysis concepts, typically supported by coursework or academic projects in data science or related fields. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and basic machine learning libraries such as scikit-learn is commonly expected. Curiosity, problem-solving, and the ability to communicate findings clearly are standout soft skills in this role. These competencies enable interns to effectively support data-driven projects, contribute to team goals, and develop practical experience essential for a future data science career.

What types of projects can I expect to work on as an Intern Python Data Science?

As an Intern Python Data Science, you will typically work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using Python libraries like pandas, NumPy, and scikit-learn. You may be tasked with supporting ongoing research, building data visualizations, or automating data collection processes. Collaboration with data scientists and engineers is common, offering opportunities to learn best practices in code review, version control, and teamwork. These experiences provide a solid foundation for more advanced roles in data science.

What does an Intern Python Data Science do?

An Intern Python Data Science assists data science teams with tasks such as data cleaning, analysis, and visualization, primarily using Python programming. They may work on projects involving data collection, processing, and building simple predictive models. Interns are also expected to learn and apply various data science techniques and tools, often under the guidance of experienced data scientists. This role provides hands-on experience and exposure to real-world data challenges, helping interns develop their technical and analytical skills.

What is the difference between Intern Python Data Science vs Intern Data Analyst?

AspectIntern Python Data ScienceIntern Data Analyst
Required SkillsPython, data analysis, machine learning basicsExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Common TasksData cleaning, modeling, scriptingData reporting, dashboard creation

Intern Python Data Science roles focus on programming, machine learning, and advanced data analysis, often in tech-driven environments. Intern Data Analyst positions emphasize data reporting, visualization, and basic analysis in business settings. While both roles require analytical skills, Intern Python Data Science roles demand coding proficiency, whereas Intern Data Analyst roles focus more on data presentation and interpretation.

What are the most commonly searched types of Python Data Science jobs in Irvine, CA? The most popular types of Python Data Science jobs in Irvine, CA are:
What are popular job titles related to Intern Python Data Science jobs in Irvine, CA? For Intern Python Data Science jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Intern Python Data Science jobs in Irvine, CA look for? The top searched job categories for Intern Python Data Science jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Intern Python Data Science jobs? Cities near Irvine, CA with the most Intern Python Data Science job openings:
Intern Python Data Science jobs near you
Infographic showing various Intern Python Data Science job openings in Irvine, CA as of June 2026, with employment types broken down into 1% Internship, 95% Full Time, 3% Part Time, and 1% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $50,245 per year, or $24.2 per hour.
Sr. Data Scientist - Customer & Op. Analytics

Sr. Data Scientist - Customer & Op. Analytics

GATEKEEPER SYSTEMS

Lake Forest, CA • On-site

$120K - $150K/yr

Full-time

Posted 3 days ago

Job description

Senior Data Scientist – Customer & Operational Analytics

Location: Gatekeeper Systems Headquarters – Foothill Ranch, California
Reports To: VP, Operations & Service

Position Summary

Gatekeeper Systems is seeking a highly analytical and business-oriented Senior Data Scientist – Customer & Operational Analytics to help drive the next phase of data-driven decision-making across the organization.

Reporting directly to the VP of Operations & Service, this role will focus on transforming customer, operational, monitoring, video classification, subscription, and theft-related data into actionable insights that improve customer outcomes, operational performance, service delivery effectiveness, and business growth.

This individual will play a key role in advancing the company’s analytics capabilities beyond traditional business intelligence by developing predictive models, operational analytics, customer intelligence frameworks, and scalable reporting solutions that support proactive decision-making and measurable business impact.

The ideal candidate combines strong technical and analytical expertise with the ability to understand business operations, communicate insights effectively, and partner cross-functionally to solve complex operational and customer challenges.

Key Responsibilities

Customer & Operational Analytics:

  • Analyze customer, operational, monitoring, video classification, and theft-related data to identify trends, risks, opportunities, and actionable insights.
  • Develop analytical frameworks to measure customer utilization, operational effectiveness, subscription adoption, and customer value realization.
  • Support proactive customer engagement strategies through data-driven insights and trend analysis.
  • Partner with leadership teams to improve visibility into operational and customer performance metrics.

Predictive Modeling & Data Science:

  • Design, build, and maintain predictive models related to theft trends, customer behavior, operational risks, service utilization, and escalation indicators.
  • Develop forecasting and trend analysis models that support operational planning and customer success initiatives.
  • Apply statistical analysis, machine learning, and advanced analytics techniques where appropriate to improve business outcomes.
  • Continuously evaluate and refine model performance and business relevance.

Business Intelligence & Visualization:

  • Develop dashboards, KPI reporting, and analytics tools using Power BI, Tableau, or similar platforms.
  • Create executive-level reporting and operational scorecards that support strategic decision-making.
  • Automate reporting and improve scalability of analytics and data visualization capabilities.
  • Translate complex analytical findings into clear, business-oriented recommendations.

Cross-Functional Collaboration:

  • Partner closely with Operations, Customer Success, Sales, Product Management, IT, Engineering, and Finance teams to identify business opportunities and analytics priorities.
  • Support initiatives involving AI-driven analytics, workflow automation, and operational optimization.
  • Collaborate with technical teams to improve data quality, accessibility, integration, and governance across systems and platforms.

Qualifications

Required:

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or related field.
  • 4–8 years of experience in data science, predictive analytics, customer analytics, operational analytics, or related analytical roles.
  • Strong experience developing predictive models and performing advanced data analysis in business environments.
  • Advanced proficiency in SQL and experience with Python or similar analytics/programming languages.
  • Experience with Power BI, Tableau, or similar business intelligence and visualization tools.
  • Experience working with large, complex operational and customer datasets.
  • Strong analytical, problem-solving, and critical-thinking capabilities.
  • Excellent communication and presentation skills with the ability to explain technical concepts to business stakeholders.
  • Ability to operate independently and manage multiple priorities in a fast-paced environment.

Preferred:

  • Experience in SaaS, retail technology, video analytics, loss prevention, IoT, subscription-based services, or service-oriented organizations.
  • Familiarity with machine learning, AI-driven analytics, and operational optimization techniques.
  • Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud.
  • Experience supporting executive-level operational reporting and KPI development.

Success Metrics:

  • Improved visibility into customer utilization and operational performance
  • Actionable theft and customer intelligence insights
  • Increased predictive capabilities across operations and customer engagement
  • Improved subscription adoption and customer retention analytics
  • Increased effectiveness and adoption of dashboards and reporting tools
  • Development of scalable analytics and predictive modeling capabilities

Why Join Gatekeeper Systems

This is an opportunity to play a highly visible role in helping shape the future of analytics, customer intelligence, and operational decision-making at Gatekeeper Systems. The role offers the ability to work directly with senior leadership while building advanced analytics capabilities that support innovation, operational excellence, and long-term business growth.