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Data Science Sustainability Remote Jobs in Indiana

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Sustainability: As climate change leads to more frequent and severe weather events, we are taking ...

The NCS Data Scientist will be responsible for designing and executing complex and various analytical work flows, and will work with a range of data types (tabular, spatial, remote sensing imagery ...

This is a remote position Travel: Up to 25 percent, with heavier travel expected during onboarding ... Bachelor's degree in Finance, Accounting, Business Analytics, Statistics, Data Science, Computer ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

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Data Science Sustainability Remote information

What is a data science sustainability remote job?

A Data Science Sustainability Remote job involves using data analysis and machine learning techniques to address environmental and sustainability challenges while working from a remote location. Professionals in this role analyze large datasets to uncover insights that can improve energy efficiency, reduce waste, and help organizations meet their sustainability goals. They often collaborate with sustainability teams and decision-makers to design data-driven strategies for positive environmental impact. Remote work allows them to perform these tasks from virtually anywhere, providing flexibility and access to a wide range of organizations.

What does a data science sustainability remote professional do?

In a remote Data Science Sustainability role, you'll frequently collaborate with teams such as environmental specialists, product managers, and IT professionals to analyze data and develop models that support the organization's sustainability goals. Effective virtual communication and project management tools are essential, as you may participate in regular video meetings, share progress updates, and co-develop solutions to track and reduce environmental impact. By working closely with diverse departments, you help translate complex data insights into actionable strategies, making your contributions highly visible and impactful across the organization.

What skills and qualifications are needed to thrive as a data science sustainability remote professional?

To excel as a Data Science Sustainability professional in a remote setting, you need a solid background in data analysis, statistical modeling, and domain knowledge in environmental or sustainability science, typically backed by a relevant degree. Familiarity with programming languages like Python or R, data visualization tools, and experience with sustainability data platforms or certifications such as LEED or GRI is highly valuable. Strong communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating across virtual teams and translating data insights into actionable strategies. These skills ensure that data-driven decisions effectively support sustainability goals while maintaining productivity and alignment in a remote work environment.

What is the difference between Data Science Sustainability Remote vs Data Analyst Sustainability Remote?

AspectData Science Sustainability RemoteData Analyst Sustainability Remote
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like SAS or PythonBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentRemote, collaborative teams, often with data engineering and analytics departmentsRemote, focused on data collection, cleaning, and reporting within sustainability projects
Employer & Industry UsageTech companies, environmental agencies, consulting firmsResearch institutions, environmental organizations, corporate sustainability teams

Data Science Sustainability Remote involves advanced analytics, machine learning, and modeling to support sustainability initiatives, requiring technical expertise. Data Analyst Sustainability Remote focuses on analyzing and visualizing sustainability data to inform decisions. Both roles are remote and integral to sustainability efforts but differ in technical complexity and responsibilities.

What are popular job titles related to Data Science Sustainability Remote jobs in Indiana? For Data Science Sustainability Remote jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Sustainability Remote jobs in Indiana look for? The top searched job categories for Data Science Sustainability Remote jobs in Indiana are:
What cities in Indiana are hiring for Data Science Sustainability Remote jobs? Cities in Indiana with the most Data Science Sustainability Remote job openings:
Infographic showing various Data Science Sustainability Remote 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 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Science Consultant, Insurance - Remote

CSAA

Remote

Full-time

Retirement

Posted 22 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.