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Internship Climate Data Scientist Jobs in Arizona

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 ...

... experience, internship experience and / or schoolwork/classes/research. The preferred ... Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

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Internship Climate Data Scientist information

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.

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 are the most commonly searched types of Climate Data Scientist jobs in Arizona?

The most popular types of Climate Data Scientist jobs in Arizona are:

What are popular job titles related to Internship Climate Data Scientist jobs in Arizona?

For Internship Climate Data Scientist jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Internship Climate Data Scientist jobs in Arizona look for?

The top searched job categories for Internship Climate Data Scientist jobs in Arizona are:

What cities in Arizona are hiring for Internship Climate Data Scientist jobs?

Cities in Arizona with the most Internship Climate Data Scientist job openings:

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 days ago


State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,562 frontline employees who took The Breakroom Quiz

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Job description

Overview

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!

Office Locations: Bloomington, Atlanta, Dallas, Phoenix

HYBRID:  Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

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 interactions with technical and non-technical business partners. Our data science teams also embrace staying current with the evolving data science landscape. 

**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) or future need for this opportunity. 


Responsibilities

State Farm's Rating & Underwriting Modeling Team is seeking Data Scientists to support the growing demand for advanced analytic 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 analytic solutions.

Applicants for this posting will be considered for Data Scientist openings in:

  • Property & Casualty Actuarial & Underwriting Modeling Department (PCM): Develops models that support State Farm’s insurance pricing and underwriting decisions

Data Science at State Farm:

As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. Through this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. Below are some of the tasks you can expect in the typical day of a Data Scientist:

  • Develop and validate advanced analytic models
  • Provide input into and/or build datasets to support model 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
  • Work on complex problems of diverse scopes
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that drives the data science & research agenda
  • Build and maintain a relationship with the open-source community by creating and contributing to open-source data science software initiatives

Qualifications

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • 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 at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**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) or future need 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: $102,000 - $163,000
    • 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!

Qualifications:

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • 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 at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**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) or future need for this opportunity. 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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