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Internship Data Science Trading Jobs in Detroit, MI

Kla

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$90K - $153K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Rock Connections

Data Scientist

Detroit, MI · On-site

Master's degree in mathematics, statistics, computer science or a related field or equivalent ... Today, we're a publicly traded company involved in many different industries, including mortgages ...

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All JobsData Science Trading JobsInternship Data Science Trading JobsInternship Data Science Trading Jobs in Detroit, MI

Internship Data Science Trading information

See Detroit, MI salary details

$11

$22

$41

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

As of Aug 31, 2026, the average hourly pay for internship data science trading in Detroit, MI is $22.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Science Trading vs Data Analyst?

AspectInternship Data Science TradingData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in data-related field, analytical skills, proficiency in data tools
Work EnvironmentFinancial firms, trading floors, collaborative teamsVarious industries, offices, cross-functional teams
Employer & Industry UsageFinance, trading firms, investment banksMultiple sectors including finance, marketing, healthcare

Internship Data Science Trading focuses on applying data science skills to trading strategies within financial firms, often involving real-time data analysis. Data Analysts work across industries analyzing data to inform business decisions. While both roles require analytical skills and familiarity with data tools, internships are more training-oriented, whereas Data Analysts are more experienced roles in data interpretation and reporting.

What are popular job titles related to Internship Data Science Trading jobs in Detroit, MI?

For Internship Data Science Trading jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Internship Data Science Trading jobs in Detroit, MI look for?

The top searched job categories for Internship Data Science Trading jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Internship Data Science Trading jobs?

Cities near Detroit, MI with the most Internship Data Science Trading job openings:

Internship Data Science Trading jobs near you
Infographic showing various Internship Data Science Trading job openings in Detroit, MI as of June 2026, with employment types broken down into 1% As Needed, 30% Full Time, 65% Part Time, 3% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $46,339 per year, or $22.3 per hour.

Business Intelligence Data Scientist

Auburn Hills, MI • On-site

Stellantis
IT Services

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

14th of 45 rated automakers

Good employer

Recommended by students

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Learn more about Stellantisexternal

Full-time

Posted 7 days ago

Job description

Stellantis is seeking a highly skilled Business Intelligence Data Scientist to support advanced analytics within the Business Intelligence and Data Analytics team at the Headquarters & Technology Center in Auburn Hills, Michigan. This role is responsible for applying advanced analytical techniques to large and complex datasets in order to generate actionable insights that inform business decisions related to warranty, cost, quality performance, and operational effectiveness.
The Data Scientist will work with a variety of internal data sources to develop analytical solutions, perform deep exploratory analysis, and support predictive, diagnostic, and prescriptive analytics efforts. The role requires strong analytical thinking, statistical expertise, and the ability to clearly communicate findings to both technical and non-technical stakeholders.
The successful candidate will collaborate closely with Engineering, Quality, Finance, and IT partners and operate with a high degree of independence in a fast-paced, data-driven environment.
Key Responsibilities:
  • Analyze large, complex datasets to identify trends, relationships, risks, and opportunities related to warranty and quality performance
  • Develop and apply advanced statistical, analytical, and data science techniques to support business problem-solving and decision-making
  • Perform exploratory data analysis and root-cause investigations to explain performance drivers and anomalies
  • Design, develop, and maintain robust analytical models, metrics, and methodologies
  • Translate complex analytical results into clear insights, recommendations, and visualizations for stakeholders
  • Partner with cross-functional teams to understand business needs and deliver analytical solutions
  • Ensure analytical outputs are accurate, repeatable, and well-documented
  • Support continuous improvement of analytics processes, tools, and data usage practices
  • Contribute to the development of standardized reporting, metrics, and best practices across the organization

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline such as Data Science, Statistics, Computer Science, Applied Mathematics, or a related field
  • Relevant internship experience
  • Demonstrated ability to communicate analytical findings clearly to technical and non-technical audiences
  • Excellent problem-solving, organizational, and time-management skills
  • Ability to work independently with minimal supervision

Preferred Qualifications:
  • Master's degree in a quantitative discipline
  • Experience applying predictive, diagnostic, or prescriptive analytics techniques in a business environment
  • Familiarity with data visualization and business intelligence tools (e.g., Power BI, Tableau)
  • Experience working in automotive, manufacturing, quality, or operational analytics environments
  • Experience with working across multiple deployment environments including cloud, on-premises and hybrid, using multiple operating systems
  • Experience translating complex data into clear narratives for leadership decision-making

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