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Internship Data Science Analytics Jobs in Minnesota

AI and Data Science Engineer III

Minneapolis, MN · On-site

$119K - $143K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Lead the design, development, and delivery of analytics solutions that address complex workforce ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our ...

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

... internship experience, or equivalent hands-on industry experience may be considered in lieu of ... science libraries (Pandas, NumPy, Scikit-learn, etc.). * Strong background in statistical analysis ...

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Internship Data Science Analytics information

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 are the most commonly searched types of Data Science Analytics jobs in Minnesota? The most popular types of Data Science Analytics jobs in Minnesota are:
AI and Data Science Engineer III

AI and Data Science Engineer III

Deloitte

Minneapolis, MN • On-site

Full-time

Posted 9 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that transforms technology platforms and drives innovation. They are hiring a Senior Consultant in Data Science to join their Human Capital practice, focusing on building and delivering data-driven products and solutions for workforce analytics.
Responsibilities:
• Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
• Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
• Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
• Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
• Support business development efforts including proposals, client presentations, and thought leadership content.
• Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
• Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.
Qualifications:
Required:
• Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
• 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
• 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
• 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
• 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
• 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
• Ability to travel 0-25%, on average, based on client and project needs.
• Limited immigration sponsorship may be available
Preferred:
• Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
• Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
• AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
• Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
• Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
• Proficiency in Python or R for statistical modeling and data wrangling.
• Strong communication skills with the ability to convey complex analytical insights to diverse audiences.
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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