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Entry Level Information Science Jobs in Seattle, WA

... Information Science & Accounting, Economics, Economics and Finance, Economics and Finance ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Computer and Information Science, Computer Engineering, Computer Management, Computer Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Health Information Specialist I

Kirkland, WA · On-site

$17.13 - $20.92/hr

... sciences companies. From fulfilling a single patient's request for their medical records to ... is an entry level position responsible for processing all release of information (ROI ...

New

... sciences companies. From fulfilling a single patient's request for their medical records to ... is an entry level position responsible for processing all release of information (ROI ...

Health Information Specialist 1

Kent, WA · On-site

$17.13 - $20.92/hr

... sciences companies. From fulfilling a single patient's request for their medical records to ... is an entry level position responsible for processing all release of information (ROI ...

Health Information Specialist 1

Bellevue, WA · On-site

$17.13 - $20.92/hr

... sciences companies. From fulfilling a single patient's request for their medical records to ... is an entry level position responsible for processing all release of information (ROI ...

... sciences companies. From fulfilling a single patient's request for their medical records to ... is an entry level position responsible for processing all release of information (ROI ...

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Showing results 1-20

Entry Level Information Science information

See Seattle, WA salary details

$28.5K

$54.4K

$78K

How much do entry level information science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level information science in Seattle, WA is $54,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,100.00 and $59,200.00 per year, depending on experience, location, and employer.

What is an entry level information science job?

Entry level information science jobs are positions designed for recent graduates or individuals with little professional experience in the information science field. These roles typically involve working with data management, information systems, digital libraries, or IT support, and may include job titles such as data analyst, records manager, or library technician. Entry-level positions provide foundational experience, help develop technical and analytical skills, and often serve as a stepping stone to more specialized or senior roles in information science.

What skills and qualifications are needed for an entry level information science professional?

To thrive as an Entry Level Information Science professional, you need a foundational understanding of information management, data organization, and research methods, often backed by a degree in information science or a related field. Familiarity with database management systems, data analytics tools, and basic programming languages like SQL or Python is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate within teams. These skills and qualities are crucial for ensuring accurate information handling and supporting data-driven decision-making in organizations.

What projects or tasks does an entry level information science professional typically work on?

As an entry-level information science professional, you can expect to work on a variety of tasks such as organizing and managing data sets, assisting with database administration, supporting data quality initiatives, and helping to implement information retrieval systems. You may also collaborate with cross-functional teams to improve data workflows and contribute to documentation or user training. These responsibilities offer hands-on experience with industry-standard tools and provide a strong foundation for future specialization or advancement within information management or analytics roles.

What is the difference between Entry Level Information Science vs Data Analyst?

AspectEntry Level Information ScienceData Analyst
Required CredentialsBachelor's in Information Science, Computer Science, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research institutions, educational settingsBusiness, finance, healthcare, and marketing sectors
Industry UsageData management, information systems, research projectsData interpretation, reporting, and visualization
Common Search IntentEntry level roles in information scienceEntry level data analysis roles

Entry Level Information Science focuses on managing and understanding information systems, often involving data management and research. In contrast, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

What are the most commonly searched types of Information Science jobs in Seattle, WA?

The most popular types of Information Science jobs in Seattle, WA are:

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

The top searched job categories for Entry Level Information Science jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Entry Level Information Science jobs?

Cities near Seattle, WA with the most Entry Level Information Science job openings:

Infographic showing various Entry Level Information Science job openings in Seattle, WA as of June 2026, with employment types broken down into 74% Full Time, 13% Part Time, 3% Temporary, 9% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $54,433 per year, or $26.2 per hour.

AML/Sanctions- Data Scientist- Associate

Pwc

Seattle, WA • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 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.

What PwC employees say

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Benefits

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