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Data Science Analyst Intern Jobs in Indiana (NOW HIRING)

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal simulation capabilities by mentoring others and advancing the broader data science community. Your Work:

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

Bachelor's degree in Business, Marketing, Healthcare Administration, Data Science, or a related ... analytics and dashboard reporting preferred. System One, and its subsidiaries including Joulé and ...

Associate Data Scientist

Fort Wayne, IN

$58K - $58K/yr

Analyze statistical data on large sets and identify trends by using advanced mathematical and computer science skills. * Execute the production of statistical models, tools, and processes. * Write ...

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Analyze statistical data on large sets and identify trends by using advanced mathematical and computer science skills. * Execute the production of statistical models, tools, and processes. * Write ...

At Beckman Coulter Life Sciences, one of Danaher's 15+ operating companies, our work saves lives ... The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data ...

At Beckman Coulter Life Sciences, one of Danaher's 15+ operating companies, our work saves lives ... The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data ...

Showing results 41-60

Data Science Analyst Intern information

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a data science analyst intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

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

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What cities in Indiana are hiring for Data Science Analyst Intern jobs? Cities in Indiana with the most Data Science Analyst Intern job openings:
Infographic showing various Data Science Analyst Intern job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Data Science Consultant, Insurance - Remote

CSAA

Remote

Full-time

Retirement

Posted 26 days ago


Job description

External candidates: In order for your application to be correctly processed please sign-in before you apply

Internal candidates: Please go to Workday and click "Find Jobs" link under Career

Thank you for considering opportunities with us!

Job Title

Senior Data Science Consultant, Insurance - Remote

Requisition Number

R7828 Senior Data Science Consultant, Insurance - Remote (Open)

Location

Arizona - Home Teleworkers

Additional Locations

Alabama - Home Teleworkers, Alabama - Home Teleworkers, Arkansas - Home Teleworkers, California - Home Teleworkers, Colorado - Home Teleworkers, Connecticut - Home Teleworkers, Delaware - Home Teleworker, District of Columbia - Home Teleworkers, Florida - Home Teleworkers, Georgia - Home Teleworkers, Idaho - Home Teleworkers, Illinois - Home Teleworkers, Indiana - Home Teleworkers, Iowa - Home Teleworkers, Kansas - Home Teleworker, Kentucky - Home Teleworkers, Louisiana - Home Teleworkers, Maine Home Teleworkers, Maryland - Home Teleworkers, Massachusetts - Home Teleworkers, Michigan - Home Teleworkers, Minnesota - Home Teleworkers, Mississippi - Home Teleworker, Missouri - Home Teleworker, Montana - Home Teleworkers {+ 21 more}

Job Information

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work.

We are actively hiring for a Senior Data Science Consultant, Insurance - Remote

Your Role:

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare for the future of the insurance industry. In this highly strategic position, you will build and apply advanced simulation models to explore emerging trends and their potential impact over the next decade. Your work will help leaders evaluate scenarios, test assumptions, and make informed decisions about how CSAA can adapt, grow, and continue serving members in a rapidly changing marketplace.

This role is ideal for a seasoned data science professional with deep expertise in modeling, simulation, AI, data analysis, and programming, along with the ability to translate complex findings into clear business recommendations. You will work closely with senior leaders and cross-functional teams to design simulation frameworks, interpret results, communicate assumptions and limitations, and influence decisions that may shape CSAA's long-term strategy. Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal simulation capabilities by mentoring others and advancing the broader data science community.

Your Work:

  • Lead the design, development, and validation of simulation models (discrete-event, agent-based, system dynamics, or hybrid).

  • Translate business or operational problems into robust simulation frameworks.

  • Conduct scenario analysis, what-if studies, optimization, and risk analysis.

  • Interpret simulation results and large datasets, delivering actionable insights to executive and technical audiences to support decision-making.

  • Guide business users on model assumptions, limitations, and best practices.

  • Coach and mentor junior consultants and review modeling work for quality and rigor.

  • Support problem understanding and solution design, including proposals and executive presentations.

  • Partner closely with data governance, model governance, and regulatory compliance teams.

  • Key partner to the business, advising and making actionable recommendations with significant impact.

  • Play key roles cross-functionally with data, IT, governance, legal, and business.

  • Take a leading role in shaping the culture of data science community in CSAA.

Required Experience, Education and Skills:

  • Bachelor's degree in STEM or bachelor's degree with an equivalent combination of relevant education.

  • Requires 10 years related professional experience with transferrable skills.

  • Experience in developing data pipelines for simulations and data science models.

  • Experience with fostering the culture of data scientist community.

  • Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation tools).

  • Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and comprehensive modeling dataset.

  • Strong communication skills to explain model insights to technical partners, business partners, and corporate leaders.

  • Master-level data science industry knowledge and knowledge of the insurance marketplace.

What would make us excited about you?

  • Master's degree

  • CPCU, ACAS or FCAS

  • Extensive knowledge of various insurance operations: pricing, product, claims, marketing, and underwriting

  • History of thought leadership in modeling, including publishing, speaking at conferences, or contributing to industry collaborations.

  • Considered a leader in the field of modeling with a history of publishing articles and books, contributing to research and speaking at conferences and webinars.

  • Actively shapes our company culture (e.g., supporting employee resource groups, mentoring employees, volunteering, joining cross-functional projects).

  • Champions our cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.).

  • Demonstrates a company ownership mindset, thinking beyond boundaries of their own area.

  • Travels as needed for role, including divisional / team meetings and other in-person meetings.

  • Fulfills business needs, which may include investing extra time, helping other teams, etc.

Please note we are hiring for this role remote anywhere in the United States with the following exceptions: Hawaii and Alaska.

Why Choose a Career at CSAA IG?

At CSAA IG, we are a mission-driven organization proudly committed to empowering our members, our employees, and our communities to thrive.

Recognition: We offer a total compensation package, annual bonus eligibility for most roles, 401(k) with a company match, and so much more! Read more about what we offer and what it is like to be a part of our dynamic team at https://careers.csaainsurance.aaa.com/us/en/benefits.

Career Growth: We believe in growth for everyone. Here at CSAA IG, leaders and mentors partner with employees to align interests, unlock development opportunities, and support longterm success.

Flexible Workplace: We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to work from various locations including CSAA offices. Our flexible workplace empowers you to balance remote work with intentional inperson moments that deepen connection and collaboration.

Inclusion and Belonging: An inclusive and welcoming workplace is the cornerstone of our success. By fostering an environment where people feel valued and heard, we deepen our ability to understand and meet the unique needs of our members. This strengthens innovation and enhances our products and services, giving us a competitive edge in the market.

Sustainability: As climate change leads to more frequent and severe weather events, we are taking bold action to build more resilient communities and reduce our environmental impact. Submit your application to be considered. We communicate via email, so check your inbox and/or your spam folder to ensure you don't miss important updates from us.

CSAA is committed to providing reasonable accommodations to qualified applicants and employees with disabilities or other limitations. If you would like to request an accommodation to participate in the job application or interview process, please contact TalentAcquistion@csaa.com

If you apply and are selected to continue in the recruiting process, we will schedule a preliminary call with you to discuss the role and will disclose during that call the available salary/hourly rate range based on your location. Factors used to determine the actual salary offered may include location, experience, or education.

CSAA does not provide visa sponsorship for this role. Applicants must have authorization to work indefinitely in the US. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

CSAA Insurance Group is an equal opportunity employer.

#LI-JH1

Knowledge, Skills and Abilities

Required:

  • Master-level tool knowledge (e.g., SQL, Python, R, AWS, DataRobot, other systems)

  • Depth knowledge data mining, data evaluation and proficiency in compiling an effective and comprehensive modeling dataset

  • Create innovative ways to mine and use data, including semi-structured or unstructured data

  • Master-level statistical, ML, GenAI and LLM modeling skills through development, deployment, monitoring

  • Key partner with data governance, model governance and regulatory compliance

  • Deep understanding of responsible AI principles for GenAI, including governance, compliance, legal, and ethical considerations; ability to influence internal policy around GenAI

  • Key partner to the business, advising and making actionable recommendations with significant impact

  • Play important role cross-functional with data, IT, governance, legal and business

  • Take a leading role in shaping the culture of data science community in CSAA

  • Master-level data science industry knowledge and knowledge of the insurance marketplace

  • Strong communication skills to explain model insights to technical partners, business partners and corporate leaders

  • Considered a leader in the field of modeling with a history of publishing articles and books, contributing to research and speaking at conferences and webinars

Education

Required

  • Bachelor's degree in STEM or Bachelor's degree with an equivalent combination of relevant education

Preferred:

  • Master's degree

  • CPCU, ACAS or FCAS

Experience

Required:

  • Requires 10 years related professional experience with transferrable skills

  • 7 years of post-bachelor experience developing statistical, ML, GenAI and LLM Models

  • Lead cross-functional MLOps projects in insurance or financial services

  • Experience with developing GenAI models with unstructured data

  • Experience with fostering the culture of data scientist community

Preferred

  • Extensive knowledge in various insurance operations: pricing, product, claims, marketing and underwriting

  • Experience shaping GenAI adoption across company

  • Track record of thought leadership in GenAI, including publishing, speaking at conferences, or contributing to industry collaborations

  • Familiarity with responsible AI frameworks and ability to influence internal processes and standards related to GenAI adoption

The national average salary range for this position is $160,155.00-$177,950.00. However, we have a location-based compensation structure. Our salary ranges vary and are calculated based on work location. The starting pay range for this position across all the states we hire in is $160,155.00-$213,550.00. This role also includes an opportunity for a company-wide annual discretionary bonus, through our Annual Incentive Plan (AIP), of up to 15% of eligible pay.This job posting will be unposted on Sat, 15 Aug 2026.