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Entry Level Data Scientist Jobs in Seattle, WA (NOW HIRING)

Pwc

AML/Sanctions- Data Scientist- Associate

Seattle, WA · On-site

$63K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

New

Pwc

AI & GenAI Data Scientist-Senior Associate

Seattle, WA · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SynergisticIT

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 ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$66K - $77K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$66K - $77K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

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Showing results 1-20

All JobsData Scientist JobsEntry Level Data Scientist JobsEntry Level Data Scientist Jobs in Seattle, WA

Entry Level Data Scientist information

See Seattle, WA salary details

$52.6K

$188.5K

$278.2K

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

As of Aug 13, 2026, the average yearly pay for entry level data scientist in Seattle, WA is $188,531.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,500.00 and $194,200.00 per year, depending on experience, location, and employer.

How to get an entry level data scientist job with no experience?

To secure an entry-level data scientist position with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key tools such as SQL and machine learning libraries. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate your skills to employers. Internships, volunteering, or participating in data competitions also provide practical experience and improve your chances of landing the role.

Can a data scientist be entry-level?

Yes, entry-level data scientist positions are available for candidates with limited professional experience, often requiring foundational skills in programming, statistics, and data analysis tools like Python or R. These roles typically focus on learning and developing skills through on-the-job training or internships.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

More about Entry Level Data Scientist jobs

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

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

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

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

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

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

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

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

Entry Level Data Scientist jobs near you
Infographic showing various Entry Level Data Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 3% Temporary, and 3% Contract. Highlights an 91% In-person, 3% Hybrid, and 6% Remote job distribution, with an average salary of $188,531 per year, or $90.6 per hour.

AML/Sanctions- Data Scientist- Associate

Pwc

Seattle, WA • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th 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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