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Environmental Data Science Jobs in Iowa (NOW HIRING)

Environmental Scientist

Independence, IA · On-site

$71K - $93K/yr

Join a team that has the environment down to a science. Our Environmental Services group is ... and analyzing data; writing technical reports for client and regulatory agency review; and ...

Environmental Scientist

Des Moines, IA · On-site

$73K - $96K/yr

Join a team that has the environment down to a science. Our Environmental Services group is ... and analyzing data; writing technical reports for client and regulatory agency review; and ...

Environmental Scientist

Independence, IA · On-site

$71K - $93K/yr

Join a team that has the environment down to a science. Our Environmental Services group is ... and analyzing data; writing technical reports for client and regulatory agency review; and ...

Lead Data Engineer

Cedar Rapids, IA · On-site

$112K - $134K/yr

Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment: * Architect, build, and support the operation of Cloud and On ...

Lead Data Engineer

Cedar Rapids, IA · On-site

$112K - $134K/yr

Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment: * Architect, build, and support the operation of Cloud and On ...

Senior Environmental Scientist

Des Moines, IA · On-site

$81K - $109K/yr

Data Collection and Analysis: Conduct research using primary data sources, and select information ... Bachelor's and/or Master's degree in Environmental Engineering, Geology, Environmental Science or ...

Senior Environmental Scientist

Des Moines, IA · On-site

$81K - $109K/yr

Data Collection and Analysis: Conduct research using primary data sources, and select information ... Bachelor's and/or Master's degree in Environmental Engineering, Geology, Environmental Science or ...

Gain real-world experience in enterprise data environments * Work with modern AI and analytics ... Data Science * Analytics * Mathematics * Computer Engineering * Strong technical skills in the ...

Gain real-world experience in enterprise data environments * Work with modern AI and analytics ... Data Science * Analytics * Mathematics * Computer Engineering * Strong technical skills in the ...

Gain real-world experience in enterprise data environments * Work with modern AI and analytics ... Data Science * Analytics * Mathematics * Computer Engineering * Strong technical skills in the ...

Background in manufacturing, life sciences, chemicals, CPG, or other R&D-intensive, data-complex environments. * Demonstrated success improving data quality, trust, and usability across fragmented ...

New

Background in manufacturing, life sciences, chemicals, CPG, or other R&D-intensive, data-complex environments. * Demonstrated success improving data quality, trust, and usability across fragmented ...

Background in manufacturing, life sciences, chemicals, CPG, or other R&D-intensive, data-complex environments. * Demonstrated success improving data quality, trust, and usability across fragmented ...

Showing results 21-40

Environmental Data Science information

See Iowa salary details

$35.2K

$115.3K

$184.6K

How much do environmental data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for environmental data science in Iowa is $115,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $127,700.00 per year, depending on experience, location, and employer.

Is environmental data science a good major?

Environmental data science is a strong major for those interested in analyzing environmental data, using tools like GIS and statistical software. It prepares students for roles in environmental monitoring, research, and policy, often requiring skills in programming, data analysis, and environmental science. Job prospects are growing as organizations seek data-driven solutions to environmental challenges.

What does an environmental data scientist do?

An environmental data scientist analyzes environmental data to identify patterns, assess environmental risks, and support decision-making. They use statistical tools, programming languages like Python or R, and GIS software to interpret data related to climate, pollution, and natural resources, often working with large datasets and models to inform environmental policies and practices.

What is environmental data science?

Environmental Data Science is an interdisciplinary field that uses statistical, computational, and analytical techniques to collect, analyze, and interpret large sets of data related to the environment. Professionals in this field work on issues like climate change, pollution, biodiversity, and natural resource management by extracting meaningful insights from complex environmental datasets. Their work supports decision-making for policy, conservation, and sustainability initiatives. Environmental data scientists often collaborate with ecologists, geographers, and policymakers to address environmental challenges using data-driven approaches.

What are some common challenges faced by environmental data scientists when working with real-world datasets?

Environmental data scientists often encounter challenges such as incomplete or inconsistent data, varying data formats, and the need to integrate information from multiple sources like sensors, satellites, and field observations. Addressing missing values, data quality issues, and ensuring proper geospatial alignment can be time-consuming but is essential for producing reliable analyses. Collaboration with domain experts and stakeholders is frequently required to interpret findings and ensure that the results are actionable for environmental policy or management decisions.

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

AspectEnvironmental Data ScienceEnvironmental Data Analyst
Required CredentialsTypically requires a degree in data science, environmental science, or related fields; often includes programming and statistical certificationsUsually requires a degree in environmental science, geography, or related fields; may include basic data analysis certifications
Work EnvironmentResearch labs, data centers, environmental agencies, or consulting firmsEnvironmental agencies, research organizations, or consulting firms
Employer & Industry UsageUsed in environmental research, climate modeling, and policy analysisUsed in environmental monitoring, reporting, and data interpretation

Environmental Data Science focuses on developing models and algorithms to analyze complex environmental data, often requiring advanced programming skills. In contrast, Environmental Data Analysts primarily interpret and visualize environmental data to support decision-making. Both roles are vital but differ in technical depth and scope.

What are the key skills and qualifications needed to thrive as an environmental data scientist, and why are they important?

To thrive as an Environmental Data Scientist, you need strong quantitative skills, expertise in environmental science, and a relevant degree in data science, statistics, or a related field. Familiarity with data analysis tools such as Python, R, GIS software, and experience with large datasets or machine learning techniques is typical. Exceptional problem-solving abilities, communication skills, and attention to detail set top performers apart in this field. These competencies are crucial for effectively interpreting complex environmental data, informing policy, and driving impactful sustainability initiatives.
Infographic showing various Environmental Data Science job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,284 per year, or $55.4 per hour.

Healthcare Payer AI Decision Science Manager/Senior Manager

Accenture

Des Moines, IA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services


Job description

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us atwww.accenture.com.

We work with C-suite executives, leaders and boards of the world's leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360 stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise is supported by proprietary assets and solutions that help organizations transform faster and become more resilient.

Our Decision Science practitioners use Industry & Functional domain expertise along with agentic AI knowledge to design, develop and reinvent processes with AI to drive efficiency and growth. You will be responsible for managing end-to-end data science projects, leveraging advanced analytics, machine learning, and AI technologies to create decision-making systems. This role requires a blend of technical expertise, strategic thinking, and leadership skills to deliver innovative solutions aligned with Accenture's commitment to driving 360 value for clients.

This is an industry-specific role focused on the healthcare provider domain-designing AI solutions that work inside the realities of the electronic medical record and clinical workflows, and helping define the future of healthcare interoperability. As a Healthcare Payer AI Decision Science Manager, you will:

  • Lead the delivery of Data Science, Artificial Intelligence, Analytics initiatives / programs for healthcare payer clients
  • Manage teams both onshore and offshore across Data Science & Machine Learning
  • Work forward-deployed with payer clients, co-creating solutions using our platforms and AI tooling to move from idea to working solution in days and weeks.
  • Understand and be able to bridge between business and technical domains (for both internal and external purpose)
  • Engage with business and analytics stakeholders to build and maintain relationships
  • Lead the sales process, originate, and lead sales solutioning for Data Science & Machine Learning related opportunities.
  • Develop and customize Data Science / Machine Learning / Artificial Intelligence / Analytics models and solutions for specific business problems within an industry or function.
  • Help scope payer-focused AI programs, identifying where AI can automate or augment clinical and administrative work across documentation, orders, and care coordination.
  • Collaborate across Accenture's network and partner with strategy, consulting, and tech teams in the sales and delivery processes.
  • Develop Data Science/Machine Learning / Artificial Intelligence talent within the organization.
  • Identify AI use cases in an industry and/or function by understanding an organization's goals and areas of need, developing the business case, determining ROI, and creating the transformation roadmap.
  • Contribute to the technical architecture of AI programs in payer environments, designing for payer data and compliance constraints, and help reimagine the future way of working for payer operations rather than simply automating today's processes.
  • Advise organization on adoption of responsible AI solutions and governance by training users on new processes, maintaining solutions, tracking results, and communicating the realized value.

Ability to travel up to 80%; travel as needed based on client expectations.

Here's What You Need:

  • Bachelor's Degree, preferably in Data Science, Computer Science, Statistics, or a related field.
  • 5+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.

Preferred Qualifications:

  • 5+ years of experience building decision-based frameworks and models to drive insights.
  • 5+ years of high value consulting experience or equivalent internal consulting experience.
  • 5+ years of experience leading workstreams and meeting deadlines.
  • 5+ years of large-scale delivery experience with minimal help.
  • Proven track record of delivering successful AI or data science projects and teams.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong analytical and problem-solving skills.
  • Experience with AI Native and cloud platforms (e.g., Open AI, Anthropic, AWS, Azure, Google Cloud).
  • Knowledge of big data technologies (e.g., Hadoop, Spark).
  • Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Experience in sales and business development.
  • Strong program management and communication skills, both verbal and written.
  • Driven and entrepreneurial: ability to originate and shape new deals, lead in client conversations, and go to market activities.
  • Fluent in English (both spoken and written).
  • Excellent leadership and people skills: proven ability to build effective teams and foster a collaborative and inclusive environment and proven ability to build strong client relationships.
  • You have experience bringing innovative ideas to projects.
  • Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Experience delivering AI or technology programs inside provider organizations.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 08/14/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $94,400 to $293,800

Cleveland $87,400 to $235,000

Colorado $94,400 to $253,800

District of Columbia $100,500 to $270,300

Illinois $87,400 to $253,800

Maine $80,400 to $216,200

Maryland $94,400 to $253,800

Massachusetts $94,400 to $270,300

Minnesota $94,400 to $253,800

New York $87,400 to $293,800

New Jersey $100,500 to $293,800

Virginia $87,400 to $270,300

Washington $100,500 to $270,300

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, pleaseclick herefor additional important information.

Please read Accenture'sRecruiting and Hiring Statementfor more information on how we process your data during the Recruiting and Hiring process.


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