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Environmental Science Graduate Jobs in Alabama (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Birmingham, AL · On-site

$96K - $126K/yr

Perform analytics in cloud-based environments, support the development of clear leadership-ready ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

Deloitte

Lead AI and Data Science Engineer II

Huntsville, AL · On-site

$101K - $133K/yr

Perform analytics in cloud-based environments, support the development of clear leadership-ready ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

UAB NOVA RENT

SCIENTIST II

Birmingham, AL · On-site

... science more broadly. SPARC offers a collaborative, computationally rich environment with GPU/HPC ... Mentor undergraduate students, graduate trainees, and post-doctoral fellows in modern AI methods ...

IDEX

Subterra Business Line Leader

Huntsville, AL · On-site

Whether you're an experienced professional, a recent college graduate or somewhere in between, IDEX ... Bachelor's degree in Business, Engineering, Environmental Science, Industrial Technology, or a ...

New

Kemper

Data Scientist

Birmingham, AL · Hybrid

Graduate degree required in a quantitative field: Mathematics, Statistics, CS, Physics, MIS ... data science/ predictive analytics environment preferred. * Self-directed and able to work with ...

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Showing results 41-60

All JobsEnvironmental Science Graduate JobsEnvironmental Science Graduate Jobs in Alabama

Environmental Science Graduate information

See Alabama salary details

$37.2K

$76.2K

$111.5K

How much do environmental science graduate jobs pay per year?

As of Aug 12, 2026, the average yearly pay for environmental science graduate in Alabama is $76,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $89,300.00 per year, depending on experience, location, and employer.

What jobs could you get with an environmental science graduate?

Environmental science graduates can pursue careers such as environmental analyst, conservation scientist, environmental consultant, or sustainability coordinator. These roles often require skills in data analysis, environmental regulations, and fieldwork, and may involve working for government agencies, consulting firms, or non-profit organizations.

What jobs can you get with an environmental science degree?

Graduates with an environmental science degree can pursue a variety of careers, including roles such as environmental consultant, conservation scientist, environmental educator, sustainability specialist, and environmental analyst. They may work for government agencies, non-profit organizations, private companies, or research institutions. The degree provides a strong foundation in ecological principles, data analysis, and problem-solving, making graduates valuable in addressing environmental challenges and developing sustainable solutions.

What is the difference between Environmental Science Graduate vs Environmental Technician?

AspectEnvironmental Science GraduateEnvironmental Technician
Required CredentialsBachelor's degree in environmental science or related fieldAssociate degree or relevant certification, sometimes a bachelor's
Work EnvironmentResearch labs, fieldwork, data analysisField sites, laboratories, environmental monitoring
Employer & Industry UsageUniversities, research institutions, government agenciesEnvironmental consulting firms, government agencies, industrial sites
Common Search & ComparisonEntry-level roles, career development, educational backgroundTechnical roles, fieldwork, practical skills

Environmental Science Graduates typically hold a bachelor's degree and focus on research, data analysis, and environmental policy. Environmental Technicians often have an associate degree or certification and perform field sampling, monitoring, and technical tasks. Both roles are essential in environmental work, but they differ in education level, job responsibilities, and work settings.

What careers can I go into with an environmental science graduate?

Environmental science graduates can pursue careers such as environmental analyst, conservation scientist, environmental consultant, or sustainability coordinator. These roles often require knowledge of ecological principles, data analysis skills, and familiarity with environmental regulations and tools like GIS software.

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

To thrive as an Environmental Science Graduate, you need a solid grounding in environmental principles, data analysis, and scientific research, often supported by a relevant bachelor's degree. Familiarity with GIS software, statistical tools like R or Python, and laboratory techniques is typically required. Strong communication, problem-solving, and teamwork skills help you effectively collaborate and convey scientific findings to diverse audiences. These skills are crucial for addressing complex environmental challenges and contributing meaningfully to sustainability initiatives.

What types of projects do environmental science graduates typically work on early in their careers?

As an Environmental Science Graduate, you can expect to contribute to a variety of projects such as environmental impact assessments, data collection and analysis for pollution monitoring, and fieldwork related to habitat restoration. Early-career roles often involve collaborating with multidisciplinary teams, including engineers, ecologists, and policy experts, to address real-world environmental challenges. These projects provide hands-on experience and the opportunity to develop specialized skills that can lead to advancement into research, consulting, or project management roles.

What can I do with a master's degree in environmental science?

An environmental science graduate with a master's degree can pursue roles such as environmental analyst, conservation scientist, environmental consultant, or sustainability coordinator. These positions often require skills in data analysis, environmental regulations, and fieldwork, and may involve working for government agencies, consulting firms, or non-profit organizations.

What is the demand for environmental science graduates?

Environmental science graduates are in increasing demand due to growing concerns about climate change, sustainability, and environmental regulations. They find opportunities in government agencies, consulting firms, research institutions, and private companies, often requiring skills in data analysis, GIS, and environmental policy. Job growth in this field is projected to be steady, with a focus on interdisciplinary knowledge and environmental compliance expertise.
What are popular job titles related to Environmental Science Graduate jobs in Alabama? For Environmental Science Graduate jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Environmental Science Graduate jobs in Alabama look for? The top searched job categories for Environmental Science Graduate jobs in Alabama are:
What cities in Alabama are hiring for Environmental Science Graduate jobs? Cities in Alabama with the most Environmental Science Graduate job openings:
Environmental Science Graduate jobs near you
Infographic showing various Environmental Science Graduate job openings in Alabama as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 24% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $76,248 per year, or $36.7 per hour.

Lead AI and Data Science Engineer II

Deloitte

Birmingham, AL • On-site

$96K - $126K/yr

Full-time

Posted 13 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118700 to $218600.

Qualifications:

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to ski...

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