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Internship Data Science Analytics Jobs in Plano, TX

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

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Internship Data Science Analytics information

See Plano, TX salary details

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How much do internship data science analytics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for internship data science analytics in Plano, TX is $21.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.46 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Science Analytics vs Data Analyst Intern?

AspectInternship Data Science AnalyticsData Analyst Intern
Required CredentialsBasic knowledge of statistics, programming (Python/R), and data toolsSimilar skills, often with coursework in statistics or data analysis
Work EnvironmentHands-on projects, collaborative teams, tech-focused companiesData collection, cleaning, visualization tasks in various industries
Employer & Industry UsageTech firms, finance, healthcare, consultingRetail, marketing, finance, tech

Internship Data Science Analytics and Data Analyst Intern roles share similar skills and work environments, focusing on data handling and analysis. The main difference lies in scope: Data Science Analytics internships often involve more advanced statistical modeling and machine learning, while Data Analyst Intern roles emphasize data visualization and reporting. Both serve as entry points into data careers, with overlapping skills but different focus areas.

What to do in an internship data science analytics?

During a data science analytics internship, interns typically assist with data collection, cleaning, and analysis using tools like Python, R, or SQL. They work on real-world projects, develop models, and present insights to teams, gaining practical experience in data-driven decision making and analytics techniques.

What cities near Plano, TX are hiring for Internship Data Science Analytics jobs?

Cities near Plano, TX with the most Internship Data Science Analytics job openings:

Req:: AI Scientist / Engineer (Data Science & Analytics) _ Plano, TX (Onsite)

iFlow Inc

Plano, TX • On-site

Other

Posted 4 days ago


Job description

Job Title: AI Scientist / Engineer (Data Science & Analytics) Location: Plano, Texas Duration: Long-term Experience:5 + Years Description Position Summary: We are seeking a highly motivated and experienced AI Scientist / Engineer with 5+ years of experience in Data Science, Data Analytics, Data Engineering, or AI Engineering to join our dynamic AI Business Strategy & Value Realization team. This position is ideal for a candidate with strong expertise in enterprise analytics, AI platforms, data visualization, cloud technologies, and executive reporting, combined with the ability to transform complex data into actionable business insights. The successful candidate will be responsible for designing and operationalizing enterprise AI analytics capabilities, building scalable data pipelines and executive dashboards, developing AI adoption and ROI metrics, and delivering data-driven insights that enable strategic AI investment decisions, governance, cost optimization, and business value realization across a global organization. Requirements Essential Functions: Key Responsibilities Design and develop enterprise AI usage dashboards and executive scorecards across multiple AI platforms. Build scalable data pipelines to ingest, integrate, and transform AI usage, operational, and financial data from diverse enterprise systems. Develop KPIs and metrics for AI adoption, utilization, token consumption, credits, costs, ROI, and business value realization. Create executive-level visualizations and reports that support strategic decision-making and AI governance. Apply data science and statistical techniques to identify adoption trends, optimization opportunities, forecasting, and value realization insights. Collaborate with AI platform teams, IT, Security, Finance, Procurement, and business stakeholders to establish trusted enterprise AI metrics. Ensure data quality, governance, and consistency across enterprise AI reporting. Support AI portfolio management through cost optimization, utilization analysis, and performance monitoring. Recommend improvements to AI measurement frameworks, reporting standards, and executive dashboards. Minimum qualification: Bachelor's degree in Computer Science, Data Science, Analytics, Engineering, or a related field (Master's preferred). 5+ years of experience in Data Science, Data Analytics, Data Engineering, or AI Engineering. Experience building enterprise-scale dashboards using Power BI, Tableau, or similar visualization platforms. Strong SQL and Python programming skills. Experience integrating data from APIs, cloud platforms, data warehouses, and enterprise systems. Knowledge of AI/LLM platforms and associated usage metrics (e.g., prompts, tokens, credits, model utilization, API consumption, costs). Experience designing executive dashboards and KPI reporting. Strong understanding of data governance, data quality, and analytics best practices. Excellent communication skills with the ability to translate complex analytics into executive-level insights. Preferred Qualifications Experience measuring AI adoption, AI ROI, and value realization within large enterprises. Knowledge of Azure AI, Microsoft Copilot, Azure OpenAI, OpenAI APIs, AWS AI services, Google Vertex AI, or similar enterprise AI platforms. Experience with cloud data platforms such as Azure Synapse, Microsoft Fabric, Databricks, Snowflake, or BigQuery. Familiarity with FinOps, AI governance, and enterprise technology portfolio management. Experience supporting executive leadership with strategic analytics and performance reporting. Position Type/Expected Hours of Work: Contract Plano TX Standard business hours Limited travel expected