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Internship Climate Data Scientist Jobs (NOW HIRING)

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Data Scientist

Boston, MA · On-site

$160K - $180K/yr

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

You move fluidly between data science, prototyping, and product thinking, and you're just as ... Working among a diverse, expert team at the forefront of climate tech, behavioral change, and ...

Our Data Science team sits at the heart of innovation, driving impactful solutions across customer ... internship/work experience.

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Associate Data Scientist

Seattle, WA · On-site

$67K - $68K/yr

Experience (internship or 0-2 years) in a data science, analytics, or quantitative modeling role ... Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support * Manage multiple projects independently, effectively prioritizing ...

Associate Data Scientist

Seattle, WA · On-site

$67K - $68K/yr

Experience (internship or 0-2 years) in a data science, analytics, or quantitative modeling role ... Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

Associate Data Scientist

Seattle, WA · On-site

$67K - $68K/yr

Experience (internship or 0-2 years) in a data science, analytics, or quantitative modeling role ... Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

New

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

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Internship Climate Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do internship climate data scientist jobs pay per year?

As of Jun 27, 2026, the average yearly pay for internship climate data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Climate Data Scientist vs Climate Data Analyst?

AspectInternship Climate Data ScientistClimate Data Analyst
Required CredentialsCurrently pursuing or recent graduate in environmental science, data science, or related fieldsBachelor's or master's in environmental science, statistics, or related fields
Work EnvironmentInternship programs in research institutions, NGOs, or corporate sustainability teamsFull-time roles in research, government agencies, or private sector companies
Employer & Industry UsageEntry-level, focused on learning and supporting projectsAnalyzing climate data to inform decisions, policy, or research

The main difference is that an Internship Climate Data Scientist is an entry-level position aimed at gaining experience, while a Climate Data Analyst is a more established role focused on analyzing climate data to support decision-making. Internships are temporary and educational, whereas analysts typically hold full-time positions with ongoing responsibilities.

What does an Internship Climate Data Scientist do?

An Internship Climate Data Scientist assists in analyzing and interpreting climate-related data to help understand environmental trends and support climate research. They work with large datasets, use statistical and machine learning methods, and help visualize data findings for reports and presentations. Interns often collaborate with experienced scientists and contribute to projects focused on topics such as climate change, weather patterns, or environmental impacts. This role provides hands-on experience in data analysis, coding, and scientific communication within the context of climate science.

What types of projects and data sets might I work with as an Internship Climate Data Scientist?

As an Internship Climate Data Scientist, you can expect to work on projects involving the analysis of large climate-related data sets, such as temperature records, greenhouse gas measurements, or weather model outputs. Your daily tasks may include cleaning and preprocessing raw data, running statistical analyses, and visualizing trends to support ongoing research or policy development. You will likely collaborate with senior scientists, data engineers, and policy analysts, gaining exposure to both technical and applied aspects of climate science. This hands-on experience provides a strong foundation for future roles in climate research, environmental consulting, or academia.

What are the key skills and qualifications needed to thrive as an Internship Climate Data Scientist, and why are they important?

To thrive as an Internship Climate Data Scientist, you need a solid background in environmental science, statistics, and data analysis, often supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of climate modeling software are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and share insights with multidisciplinary teams. These skills are crucial for accurately analyzing climate trends and contributing valuable data-driven solutions to sustainability challenges.
More about Internship Climate Data Scientist jobs
What cities are hiring for Internship Climate Data Scientist jobs? Cities with the most Internship Climate Data Scientist job openings:
What are the most commonly searched types of Climate Data Scientist jobs? The most popular types of Climate Data Scientist jobs are:
What states have the most Internship Climate Data Scientist jobs? States with the most job openings for Internship Climate Data Scientist jobs include:
Data Scientist

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago


State Farm rating

7.5

Company rating: 7.5 out of 10

Based on 1,371 frontline employees who took The Breakroom Quiz

196th of 263 rated insurance


Job description

Overview

State Farm is seeking data scientists with experience in artificial intelligence, machine learning, and other advanced analytics methods to support the growing demand for data science solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of AI/ML solutions. 

Applicants for this posting will be considered for a data scientist opening in Enterprise Technology – Data & AI (ET-D&AI). This area provides data science support for internal business partners at State Farm, including Agency, Marketing, and Digital Channel performance. State Farm is looking for data science professionals with experience in building AI/ML solutions to enhance customer engagement within our digital platform.

At State Farm, we believe in fostering professional growth and development. As a data scientist at State Farm, you will have the opportunity to expand your analytic skill set across multiple development areas. In ET-D&AI you are a data science consultant, allowing you to improve your communication skills as you explain technical concepts to your business partners. The diverse range of projects you will work on will refine your knowledge in AI/ML topics, software development practices, and tool development for department use.


Responsibilities

Data Science at State Farm

As a data scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. This opportunity affords consideration for data scientists who can bring in-demand skills to our data science suites. Below are some of the tasks you can expect in the typical day of a data scientist: 

  • Develop and validate advanced analytic models, designed experiments, and other data-driven solutions
  • Provide input into and/or build datasets to support AI/ML solution development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other data scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that delivers business outcomes for State Farm’s AI/ML portfolio
  • Assess model performance, investigate changes, and perform model updates as necessary 

Why Join Our Data Science Team?

At State Farm, we are dedicated to helping our team members develop to their full potential. As a data scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through Lead/mentor other data scientists, interns, and other technical work teams through interactions with technical and non-technical business partners. Our data scientists also embrace staying current with the evolving data science landscape.  


Qualifications

Requirements

  • Completed master’s or other advanced degree in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Minimum of 3+ years of predictive model building experience in a business environment
  • Experience in digital engagement, including AI/ML solution building and implementation in digital environments
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with designing, building, and implementing AI solutions (e.g., natural language processing, large language models, computer vision, generative AI)
  • Experience with at least one statistical programming language: Python, R, or SAS

Other Things We Look For: 

  • Familiarity with experimental design concepts for business experiments
  • Experience with cloud-based environments (e.g., AWS) or Linux 
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
  • Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and finance). 

The Selection Process:

1.  After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you may progress to the next stage of the selection process.
2.  If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.
3.  Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: a loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experience.

What Else?
 - Competitive Benefits, Pay and Bonus Potential: Who doesn’t want money, right?
 - Volunteer opportunities: Get involved and give back to the community!
 - Continuing Education Support: We support opportunities for you to learn and grow!
 - A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
 - Exceptional 401k Plan
 - We embrace Diversity and Inclusion: We are one team, and it is simply the right thing to do!

Learn more about our benefits at State Farm Careers!

HYBRID: Qualified candidates residing within a 180-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations of 1 time per quarter. This could consist of a multi-day event per quarter depending on your leader and business need. Any business travel to your assigned hub associated with your in-office expectations would be at your own expense. Your manager will share additional details with you regarding your department’s approach and what it means for you. 

HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

We are not just offering a job but a meaningful career! We’re here to help life go right®
Come join our passionate team!

SPONSORSHIP: Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity.


Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $112,000 - $151,000
    • Starting salary will be based on skills, background, and experience
    • High end of the range limited to applicants with significant relevant experience
  • Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

#LI-LP1

#LI-Hybrid

Qualifications:

Requirements

  • Completed master’s or other advanced degree in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Minimum of 3+ years of predictive model building experience in a business environment
  • Experience in digital engagement, including AI/ML solution building and implementation in digital environments
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with designing, building, and implementing AI solutions (e.g., natural language processing, large language models, computer vision, generative AI)
  • Experience with at least one statistical programming language: Python, R, or SAS

Other Things We Look For: 

  • Familiarity with experimental design concepts for business experiments
  • Experience with cloud-based environments (e.g., AWS) or Linux 
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
  • Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and finance). 

The Selection Process:

1.  After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you may progress to the next stage of the selection process.
2.  If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.
3.  Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: a loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experience.

What Else?
 - Competitive Benefits, Pay and Bonus Potential: Who doesn’t want money, right?
 - Volunteer opportunities: Get involved and give back to the community!
 - Continuing Education Support: We support opportunities for you to learn and grow!
 - A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
 - Exceptional 401k Plan
 - We embrace Diversity and Inclusion: We are one team, and it is simply the right thing to do!

Learn more about our benefits at State Farm Careers!

HYBRID: Qualified candidates residing within a 180-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations of 1 time per quarter. This could consist of a multi-day event per quarter depending on your leader and business need. Any business travel to your assigned hub associated with your in-office expectations would be at your own expense. Your manager will share additional details with you regarding your department’s approach and what it means for you. 

HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

We are not just offering a job but a meaningful career! We’re here to help life go right®
Come join our passionate team!

SPONSORSHIP: Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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