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Entry Level Climate Data Scientist Jobs in Seattle, WA

... data science/machine learning What Sets You Apart - Interest in financial crime, AML, and fraud ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Bachelor's Degree in Environmental Science, Geology, Chemistry, Natural Resources Management ...

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Bachelor's Degree in Environmental Science, Geology, Chemistry, Natural Resources Management ...

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Bachelor's Degree in Environmental Science, Geology, Chemistry, Natural Resources Management ...

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Climate Data Scientist information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

How much do entry level climate data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level climate data scientist in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 per year, depending on experience, location, and employer.

What does an entry level climate data scientist do?

An Entry Level Climate Data Scientist collects, processes, and analyzes environmental and climate data to help solve problems related to climate change. They use statistical and computational tools to interpret large datasets, create models, and generate insights for researchers, policymakers, and organizations. Their work supports efforts to understand weather patterns, predict climate trends, and develop strategies for sustainability. Often, they collaborate with teams and use programming languages like Python or R to organize and visualize data.

What are some typical projects or tasks that an entry level climate data scientist might work on during their first year?

As an entry level climate data scientist, you can expect to work on projects such as cleaning and organizing large climate datasets, running basic statistical analyses to identify trends, and helping to visualize data for reports or presentations. You might also assist in developing or refining climate models under the supervision of senior scientists, and collaborate with team members from environmental science, engineering, or policy backgrounds. Regularly, you’ll participate in team meetings to discuss project progress and share results, gaining exposure to interdisciplinary research and real-world climate solutions.

What are the key skills and qualifications needed to thrive as an entry level climate data scientist, and why are they important?

To thrive as an Entry Level Climate Data Scientist, you need a solid background in environmental science, statistics, and programming (typically with a degree in a related field). Familiarity with data analysis tools like Python, R, GIS software, and experience with climate data sets or machine learning libraries are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and present findings clearly. These skills enable accurate climate modeling and actionable insights that support impactful environmental decision-making.

What is the difference between Entry Level Climate Data Scientist vs Entry Level Environmental Data Analyst?

AspectEntry Level Climate Data ScientistEntry Level Environmental Data Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; some roles prefer certifications in data analysis or climate modelingBachelor's in Environmental Science, Data Analysis, or related field; certifications in data analysis are common
Work EnvironmentResearch institutions, government agencies, climate-focused organizationsEnvironmental consulting firms, government agencies, NGOs
Employer & Industry UsageUsed in climate modeling, policy analysis, and research projectsApplied in environmental impact assessments, data reporting, and compliance

Both roles involve analyzing environmental data, but Climate Data Scientists focus more on climate models and predictive analytics, while Environmental Data Analysts handle broader environmental datasets and reporting. The roles often overlap in skills and work environments, making them common comparison points for entry-level professionals in the environmental sector.

What are the most commonly searched types of Climate Data Scientist jobs in Seattle, WA?

The most popular types of Climate Data Scientist jobs in Seattle, WA are:

What are popular job titles related to Entry Level Climate Data Scientist jobs in Seattle, WA?

For Entry Level Climate Data Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Climate Data Scientist jobs in Seattle, WA look for?

The top searched job categories for Entry Level Climate Data Scientist jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Entry Level Climate Data Scientist jobs?

Cities near Seattle, WA with the most Entry Level Climate Data Scientist job openings:

Infographic showing various Entry Level Climate Data Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $187,795 per year, or $90.3 per hour.

AML/Sanctions- Data Scientist- Associate

Pwc

Seattle, WA • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Banking and Capital Markets

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Apply a learning mindset and take ownership for your own development.
Appreciate diverse perspectives, needs, and feelings of others.
Adopt habits to sustain high performance and develop your potential.
Actively listen, ask questions to check understanding, and clearly express ideas.
Seek, reflect, act on, and give feedback.
Gather information from a range of sources to analyse facts and discern patterns.
Commit to understanding how the business works and building commercial awareness.
Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
The Opportunity
As part of the Financial Crime Unit team you will apply analytical methods to complex datasets leveraging SQL and Python to tackle financial crime challenges. As an Associate you will focus on learning and contributing to client engagement, building meaningful connections while navigating complex situations to enhance your personal brand and technical knowledge.
Responsibilities
- Utilize analytical techniques to address financial crime issues
- Engage with clients to foster meaningful professional relationships
- Apply SQL and Python for data analysis and problem-solving
- Explore machine learning, NLP, and LLMs in relevant projects
- Contribute to team efforts while enhancing personal technical skills
- Adapt to complex situations and develop strategic insights
- Participate in research to support project objectives
- Uphold professional standards and ethical guidelines
What You Must Have
- Bachelor's Degree in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics, Data Processing/Analytics/Science or related field
- 1 year of experience in data science/machine learning
What Sets You Apart
- Interest in financial crime, AML, and fraud analytics
- Skilled in SQL for complex data queries
- Advanced Python skills for data manipulation
- Experience building and deploying machine learning models
- Understanding of machine learning concepts and algorithms
- Comfort working with structured and unstructured data
- Familiarity with agentic AI frameworks
- Hands-on experience with CI/CD pipelines for data science
- Proficiency in SQL and Python
- Basic understanding of machine learning algorithms and evaluation metrics
- Exposure to frameworks such as scikit-learn, XGBoost, Hugging Face Transformers
- Other quantitative fields of study may be considered

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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