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Entry Level Bank Data Scientist Jobs in Portland, OR

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR · On-site

$99K - $232K/yr

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Accenture

Data Protection, A/SA-Evergreen

Portland, OR · On-site

$84K - $100K/yr

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.

Stantec

Building Science Consultant

Portland, OR · On-site

$85K - $123K/yr

This is a full-time, entry-level to early-career position that offers exposure to a wide range of ... data organization. * Provide drafting and design support for contract documents using AutoCAD and ...

Stantec

Building Science Consultant

Portland, OR · On-site

$85K - $123K/yr

This is a full-time, entry-level to early-career position that offers exposure to a wide range of ... data organization. * Provide drafting and design support for contract documents using AutoCAD and ...

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All JobsBank Data Scientist JobsEntry Level Bank Data Scientist JobsEntry Level Bank Data Scientist Jobs in Portland, OR

Entry Level Bank Data Scientist information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

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

As of Sep 1, 2026, the average yearly pay for entry level bank data scientist in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 per year, depending on experience, location, and employer.

What does an entry level bank data scientist do?

An Entry Level Bank Data Scientist analyzes financial data to help banks make data-driven decisions. Their work often involves cleaning and processing large datasets, building statistical models, and creating reports to identify trends or detect fraud. They collaborate with other teams to improve products, optimize processes, and ensure regulatory compliance. While they may not lead projects, they play a key role in supporting analytics initiatives and learning advanced data science techniques on the job.

What are the key skills and qualifications needed to thrive as an entry level bank data scientist?

To thrive as an Entry Level Bank Data Scientist, you need a solid background in statistics, data analysis, and programming—often supported by a relevant degree in mathematics, computer science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of financial data systems, is commonly expected. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings to non-technical stakeholders. These competencies enable accurate data-driven decisions that support banking operations, risk management, and customer insights.

What are some common challenges faced by entry level bank data scientists, and how can new hires navigate them?

Entry-level data scientists in banking often encounter challenges such as working with highly regulated, sensitive financial data and adapting to legacy systems that may limit tool choices. New hires may also need to quickly learn domain-specific knowledge, like risk modeling or fraud detection. To succeed, it's helpful to proactively seek mentorship from experienced colleagues, participate in cross-functional project meetings to understand business objectives, and invest time in learning about data privacy regulations. Building strong communication skills is also important, as you'll often collaborate with IT, compliance, and business teams to ensure your analyses align with both technical and regulatory requirements.

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

AspectEntry Level Bank Data ScientistEntry Level Bank Data Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RBachelor's degree in Finance, Economics, or related field; proficiency in Excel and SQL
Work EnvironmentData-driven teams within banks, focusing on predictive modeling and advanced analyticsOperational teams analyzing financial data, preparing reports, and supporting decision-making
Employer & Industry UsageFinancial institutions, banks, fintech companiesBanking sector, financial services firms

While both roles involve working with financial data, Entry Level Bank Data Scientists focus on developing predictive models and advanced analytics, requiring programming skills and statistical knowledge. Entry Level Bank Data Analysts primarily handle data reporting and basic analysis, emphasizing proficiency in Excel and SQL. Both roles are essential in banking but differ in technical complexity and responsibilities.

Can I get an entry level bank data scientist job with no experience?

Entry level bank data scientist positions typically require some foundational knowledge of data analysis, programming (such as Python or R), and understanding of banking data. While prior experience is often preferred, candidates with relevant internships, coursework, or certifications can qualify for these roles. Demonstrating strong analytical skills and familiarity with data tools can improve chances of securing an entry level position without extensive experience.

Can an entry level bank data scientist work in a bank?

Yes, an entry level bank data scientist can work in a bank, typically analyzing financial data, developing models, and supporting decision-making processes. Entry-level roles often require skills in programming, statistics, and tools like SQL or Python, and may require relevant internships or certifications.

What are the most commonly searched types of Bank Data Scientist jobs in Portland, OR?

The most popular types of Bank Data Scientist jobs in Portland, OR are:

What are popular job titles related to Entry Level Bank Data Scientist jobs in Portland, OR?

For Entry Level Bank Data Scientist jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Entry Level Bank Data Scientist jobs in Portland, OR look for?

The top searched job categories for Entry Level Bank Data Scientist jobs in Portland, OR are:

Entry Level Bank Data Scientist jobs near you
Infographic showing various Entry Level Bank Data Scientist job openings in Portland, OR as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $130,165 per year, or $62.6 per hour.

AI & GenAI Data Scientist - Manager

Portland, OR • On-site

Pwc
Finance and Insurance • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

People enjoy working here

Good employer

Recommended by students

Learn more about Pwcexternal

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines
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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

View All pwc Jobs

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Benefits

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