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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 ...

Data Scientist

Boston, MA

$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 ...

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

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 ...

... 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 ...

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

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 ...

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

Position:- Data Scientist Must-Have Skills Business Analysis Cloud PowerBI Python Snowflake SQL Validation Description Required Education • BS Degree (Bachelor of Science) required • ...

New

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 ...

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Internship Climate Data Scientist information

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$46K

$165K

$243.5K

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

As of Jul 26, 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:
Infographic showing various Internship Climate Data Scientist job openings in the United States as of July 2026, with employment types broken down into 17% Internship, 50% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

State Farm

Bloomington, IL • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted yesterday


State Farm rating

7.4

Company rating: 7.4 out of 10

Based on 1,532 frontline employees who took The Breakroom Quiz

220th of 298 rated insurance


Job description

Overview
State Farm is seeking a Data Scientist with experience in artificial intelligence, machine learning, and advanced analytics to meet the growing demand for data-driven decisioning across the organization.
In this role, you'll partner with internal business teams to develop and validate AI/ML models and experimentation-driven analytics that improve performance in key areas such as Agency effectiveness, Marketing insights, and Digital channel engagement.
This opening is within State Farm's Enterprise Technology - Data & AI (ET-D&AI) department. ET-D&AI provides data science support to internal business partners across State Farm, including work focused on enhancing customer engagement and digital experiences through AI/ML.
Responsibilities
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 is well-suited for data scientists who bring high-demand modeling and analytical skills and want to contribute directly to State Farm's AI/ML portfolio.
What You'll Do
What you can expect in the typical day as a Data Scientist at State Farm:
  • 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?
State Farm is committed to helping you develop to your full potential, professionally and analytically. You'll strengthen both your technical depth and your communication skills by partnering with leadership, business partners, and fellow technologists. You'll also have the opportunity to stay current with the evolving data science landscape and contribute to ongoing model quality and continuous improvement.
Qualifications
  • 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.
  • 3+ years of predictive model building experience in a business environment
  • Experience delivering digital engagement analytics, 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
    • Neural networks
  • Experience with designing, building, and implementing AI solutions, such as:
    • Natural language processing, large language models, computer vision or 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 (e.g., insurance, healthcare, 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.
Being good neighbors - helping people, investing in our communities, and making the world a better place - is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!
HYBRID: Qualified candidates must reside in or relocate 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.
HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL
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!
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