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Information Science Jobs in Seattle, WA (NOW HIRING)

Pwc

AML/Sanctions- Data Scientist- Associate

Seattle, WA · On-site

$63K - $140K/yr

... Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics ...

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All JobsInformation Science JobsInformation Science Jobs in Seattle, WA

Information Science information

See Seattle, WA salary details

$6

$48

$73

How much do information science jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for information science in Seattle, WA is $48.63, according to ZipRecruiter salary data. Most workers in this role earn between $33.94 and $58.03 per hour, depending on experience, location, and employer.

What is information science?

Information science is an interdisciplinary field that focuses on the collection, organization, storage, retrieval, and analysis of information. It combines aspects of computer science, library science, cognitive science, and social sciences to understand how people interact with information and technology. Information scientists often design systems and processes to manage data effectively, improve information accessibility, and support decision-making in various settings such as libraries, businesses, and research institutions.

What are the qualifications to get an information science job?

The qualifications for a career in information science (IS) include a bachelor’s degree in information systems, although librarians typically need an advanced degree. Most employers looking for librarians prefer several years of industry experience. Many of them also require passage of the PRAXIS II Library Media Specialist test or certification. Excellent organizational and technical skills are essential for either career path, and you must stay current with the technology. Interpersonal skills are also helpful, whether for dealing with the general public or other non-IT staff and colleagues.

What are the key skills and qualifications needed to thrive as an information scientist, and why are they important?

To thrive as an Information Scientist, you need a strong foundation in data management, information retrieval, and analytical research methods, typically supported by a degree in information science or a related field. Familiarity with database management systems, data analysis tools (such as SQL, Python, or R), and metadata standards is often required, along with certifications like Certified Information Professional (CIP) being advantageous. Excellent problem-solving, communication, and organizational skills help in interpreting data needs and delivering actionable insights. These competencies ensure accurate data handling, effective information dissemination, and informed decision-making in organizations.

What are some common challenges faced by information science professionals when working with large datasets, and how are these typically addressed?

Information Science professionals often encounter challenges such as data quality issues, integrating data from diverse sources, and ensuring data security when working with large datasets. Addressing these challenges typically involves using advanced data cleaning techniques, employing robust data integration tools, and collaborating closely with IT and security teams to implement strong data governance policies. Continuous learning about new data management technologies and best practices is also essential to stay effective in this dynamic field.

What is the difference between Information Science vs Data Analyst?

AspectInformation ScienceData Analyst
Required CredentialsBachelor's or Master's in Information Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields; often includes certifications in data analysis tools
Work EnvironmentResearch labs, libraries, tech companies, academiaBusiness settings, finance, marketing, healthcare
Industry UsageInformation management, knowledge organization, information systemsData interpretation, reporting, data visualization

While both roles involve working with data and information, Information Science focuses on managing, organizing, and retrieving information systems, often in research or library contexts. Data Analysts primarily analyze data to generate insights for business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What do you do in information science?

In information science, professionals analyze, organize, and manage data and information systems to improve access and usability. They often work with databases, information retrieval, and data analysis tools to support decision-making and knowledge management.

What jobs can I do with information science?

With a degree in information science, you can pursue roles such as data analyst, data scientist, information systems manager, database administrator, user experience designer, or information security analyst. These jobs often require skills in data management, programming, and understanding of information systems, and may involve working with tools like SQL, Python, or data visualization software.
More about Information Science jobs

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 are popular job titles related to Information Science jobs in Seattle, WA?

For Information Science jobs in Seattle, WA, the most frequently searched job titles are:

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

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

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

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

Information Science jobs near you
Infographic showing various Information Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $101,145 per year, or $48.6 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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