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Environmental Data Science Intern Jobs in Alabama

Vultus Inc

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Experience in Agile/Scrum development environments. * Relevant certifications in AWS, Azure, GCP, or Data Science are a plus. Salary USD $130,000 - $170,000 per year (Based on experience and location)

ERC Inc.

Data Scientist

Huntsville, AL

Use data science tools to improve data reliability, efficiency, and quality. Responsible for ... Enjoy a fast-paced work environment. Love working with diverse groups of individuals, including ...

SOSi

Data Scientist

Redstone Arsenal, AL · Hybrid

Develop and deploy data science solutions leveraging Python or similar languages. * Utilize Linux ... Experience with multi-INT analytics Additional Information Work Environment * Office setting with a ...

SOSi

Data Scientist

Huntsville, AL · On-site

Develop and deploy data science solutions leveraging Python or similar languages. * Utilize Linux ... Experience with multi-INT analytics Additional Information Work Environment * Office setting with a ...

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 presentations, and stay current on developments in data science, behavioral science, and adjacent ...

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 presentations, and stay current on developments in data science, behavioral science, and adjacent ...

4pconsultinginc

Data Scientist III (IT)

Birmingham, AL · On-site

Data Scientist III (IT) Location: Birmingham, AL Duration: 1 Year Client: Alabama Power Job Summary ... T environment. Key Responsibilities * Apply the scientific method to frame problems, test ...

Kemper

Data Scientist

Birmingham, AL · Hybrid

Mathematics, Statistics, CS, Physics, MIS, Economics, Electrical Engineering, etc. * 2+ years' experience in a data science/ predictive analytics environment preferred. * Self-directed and able to ...

SOSi

Senior Data Scientist

Huntsville, AL

Develop and deploy data science solutions leveraging Python or similar languages. * Utilize Linux ... Additional Information Work Environment * Office setting with a combination of desk work and ...

SOSi

Senior Data Scientist

Huntsville, AL · On-site

Develop and deploy data science solutions leveraging Python or similar languages. * Utilize Linux ... Additional Information Work Environment * Office setting with a combination of desk work and ...

SOSi

Senior Data Scientist

Huntsville, AL · On-site

Develop and deploy data science solutions leveraging Python or similar languages. * Utilize Linux ... Additional Information Work Environment * Office setting with a combination of desk work and ...

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All JobsEnvironmental Data Science Intern JobsEnvironmental Data Science Intern Jobs in Alabama

Environmental Data Science Intern information

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

AspectEnvironmental Data Science InternEnvironmental Data Analyst
Required CredentialsTypically pursuing or recent graduate in environmental science, data science, or related fieldsBachelor's or master's in environmental science, data analysis, or related fields; some roles prefer certifications in data analysis
Work EnvironmentInternship setting, often in research labs, environmental agencies, or consulting firmsFull-time role in environmental agencies, consulting firms, or corporate sustainability teams
Employer & Industry UsageUsed by organizations offering internships to train future professionalsUsed by organizations analyzing environmental data for decision-making and reporting

The main difference is that an Environmental Data Science Intern is an entry-level position aimed at gaining experience, while an Environmental Data Analyst is a more experienced role focused on analyzing and interpreting environmental data to support organizational goals.

What types of projects does an environmental data science intern typically work on, and how do they contribute to the overall team goals?

Environmental Data Science Interns often work on projects involving the collection, analysis, and visualization of environmental data, such as air or water quality, climate trends, or biodiversity metrics. Interns may assist in developing models to forecast environmental changes or create dashboards that help communicate findings to stakeholders. These tasks support the team's efforts in research, policy-making, or environmental management by providing actionable insights and ensuring data-driven decision-making. Collaboration with scientists, data engineers, and policy analysts is common, offering interns exposure to interdisciplinary teamwork.

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

To thrive as an Environmental Data Science Intern, you need a strong background in environmental science, statistics, and data analysis, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and GIS software is often required. Attention to detail, problem-solving abilities, and effective communication skills help interns translate data into actionable insights and collaborate with multidisciplinary teams. These skills ensure that data-driven decisions can be made to address complex environmental challenges.

What is an environmental data science intern?

An Environmental Data Science Intern is a student or recent graduate who assists in analyzing environmental data to address issues such as climate change, pollution, or resource management. They use statistical methods, programming, and data visualization tools to process and interpret large datasets from sources like sensors, satellites, or field surveys. The role often involves working with environmental scientists to support research and inform decision-making. Interns gain hands-on experience in applying data science techniques to real-world environmental challenges, which can help prepare them for future careers in environmental science and analytics.
What are popular job titles related to Environmental Data Science Intern jobs in Alabama? For Environmental Data Science Intern jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science Intern jobs in Alabama look for? The top searched job categories for Environmental Data Science Intern jobs in Alabama are:
What cities in Alabama are hiring for Environmental Data Science Intern jobs? Cities in Alabama with the most Environmental Data Science Intern job openings:
Environmental Data Science Intern jobs near you
Infographic showing various Environmental Data Science Intern job openings in Alabama as of August 2026, with employment types broken down into 13% Internship, 66% Full Time, 13% Part Time, 4% Temporary, and 4% Contract. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution.

Senior Data Scientist

Vultus Inc

Birmingham, AL • On-site, Remote

$130K - $170K/yr

Full-time

Posted 10 days ago

Job description

Senior Data Scientist
Experience: 6–10 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Data Science & AI

Job Summary

We are seeking an experienced Senior Data Scientist to join our growing analytics and AI team. The ideal candidate will leverage advanced statistical analysis, machine learning, and data engineering techniques to solve complex business problems, develop predictive models, and provide actionable insights. You will collaborate with cross-functional teams to build scalable AI solutions that drive business value. A strong JD should clearly outline responsibilities, required skills, and expectations to attract qualified candidates.

Key Responsibilities
  • Design, build, and deploy machine learning and predictive analytics models.
  • Analyze structured and unstructured datasets to identify trends and business opportunities.
  • Develop data pipelines and automate data processing workflows.
  • Collaborate with product managers, business analysts, and engineering teams.
  • Validate model performance and optimize algorithms for production.
  • Present technical findings and recommendations to business stakeholders.
  • Mentor junior data scientists and conduct code reviews.
  • Stay updated with advancements in AI, Machine Learning, and Generative AI.
Primary Skills
  • Python
  • SQL
  • Machine Learning
  • Deep Learning
  • Statistics
  • Data Modeling
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow or PyTorch
  • Data Visualization (Power BI/Tableau)
  • Apache Spark
  • Git
  • Cloud Platforms (AWS, Azure, or GCP)
Secondary Skills
  • NLP (Natural Language Processing)
  • Generative AI
  • Large Language Models (LLMs)
  • RAG (Retrieval-Augmented Generation)
  • MLOps
  • Docker
  • Kubernetes
  • Airflow
  • Snowflake
  • Databricks
  • CI/CD
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 6–10 years of experience in Data Science or Machine Learning.
  • Strong experience building and deploying ML models in production.
  • Expertise in SQL and Python programming.
  • Experience working with cloud platforms and big data technologies.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Generative AI and LLM-based applications.
  • Knowledge of MLOps and model deployment best practices.
  • Experience in Agile/Scrum development environments.
  • Relevant certifications in AWS, Azure, GCP, or Data Science are a plus.
Salary

USD $130,000 – $170,000 per year (Based on experience and location)