Intern - Data Scientist

Acxiom; Des Moines (IA); Remote; USD 2,066,000 - 3,444,000; Part time

Job summary

Acxiom is seeking an MBA or related graduate student for a remote internship with the Automotive analytics team. You will contribute to data storytelling, model development, and performance improvements using Acxiom data and strategic partnerships.

The role emphasizes visualization, statistical reasoning, and collaboration with internal teams to translate data into actionable insights. Remote, part-time with semester flexibility and summer intensives are offered.

Qualifications

• Currently pursuing a Bachelors or Masters in Business or related degree programs.
• Coursework in quantitative fields (Data Science, Statistics, Math) or related disciplines.
• Strong interpersonal and communication skills; ability to work independently and in a team.

Responsibilities

• Support data-driven storytelling across the Automotive team.
• Leverage Acxiom data and partnerships to build high-value audiences and models.
• Coordinate activities to build, test, and refine data solutions.
• Apply statistical modeling to improve product performance and quality.
• Build, evaluate and optimize analytical models.
• Collaborate with stakeholders to define data sources, patterns, and implementation.

Skills

SQL

CRM software

Microsoft Office Suite

Data visualization

Python

Interpersonal communication

Education

MBA or related graduate degree

Bachelor's/Master's in Business or related field

Tools

Google Cloud Platform

Google Analytics

Tableau

Looker

Job description

Remote/Homebased

Part time

JR014459

Working on the Automotive team focusing on using data to better understand and connect with current and potential customers. The Auto team seeks an intern working toward a master’s degree in business administration (MBA) or similar graduate degree. As part of their studies, ideal candidates should be focused on marketing analytics, data science and visualization, business analysis and (but not limited to) statistics and market research. Familiarity with data platforms, analytics and visualization solutions like Google Cloud Platform, Google Analytics, Tableau and Looker is also preferred.

Internship details:

• The internship will begin January 11th, 2027
• 20-25 hours/week work dedication during the semester and up to 40/week during breaks and summer
• Anticipated graduation date between December 2027 - May 2028

What you will do:

• Leverage education and experience in data visualization to support data-driven storytelling initiatives across the tower focusing on GM as a first priority.
• Leverage Acxiom’s data and data available through established partnerships with brands like Equifax, Polk and Commerce Signals to develop opportunities for creating high-value audiences and other models.
• Help coordinate and prepare for activities designed to build, test and perfect data solution
• Apply algorithms relying on knowledge of statistical modeling to improve the performance/quality of existing products
• Build, evaluate and optimize models
• Collaborate with internal and external stakeholders to understand business and insight goals
• Collaborate with other data scientists and team leads to define requirements including data sources, patterns, and implementation
• Work with the account team to transition development projects to production systems

What you will need:

• Currently pursuing a Bachelors or Masters in Business, Coursework in a quantitative field (Data Science, Statistics, Math) or related degree programs
• Strong interpersonal and communication skills.
• Ability to work independently and as part of a team.
• Detail-oriented with excellent organizational skills.
• Proficiency in Microsoft Office Suite and CRM software is a plus.
• Basic to moderate SQL experience to model and identify patterns

What will set you apart:

• Experience with applying statistics and data science tools on datasets
• Experience with scripting languages such as Python, Perl, etc
• Ability to read and understand java logs and xml to identify issues
• Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models
• Balances desire for quantitative rigor with realities of inconsistent business data
• Attention to detail and time management delivering high quality work for multiple projects across several engagements while meeting deadlines
• Coursework in a quantitative field (Data Science, Statistics, Math) or related degree programs

Who are we seeking?

• Top Talent & High Performers: We hire the brightest in the industry!
• Innovative Collaborators: We drive operational improvements to promote efficiency and improve performance.
• Future Leaders: We develop our people and promote from within.
• Game Changers: We empower people to challenge the status quo and explore new possibilities.
• Emotional Intelligence: We cultivate greatness both within ourselves and with others.
• Hardworking Employees: We look for initiative to conquer complex challenges.

We believe in building an exciting workplace where associates feel highly motivated and want to engage every single day. It’s important to Acxiom that we invest in our culture and promote a healthy work-life balance. Acxiom has a fast paced, high-performance culture where we empower our people to do innovative, ground breaking work. You will always be guided to do what is right.

Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected

Primary Location City/State:

Homebased - Conway, Arkansas

Additional Locations (if applicable):

Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.