ZipRecruiter

Log In

2

Entry Level Bank Data Scientist Jobs (NOW HIRING)

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

RELX

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

Support our Data Sciences team within Health Content Operations and work with the Clinical ... We never request money or banking details from job applicants. Learn more about spotting and ...

RELX Group plc

Data Scientist III

Philadelphia, PA · On-site

$110K - $115K/yr

Support our Data Sciences team within Health Content Operations and work with the Clinical ... We never request money or banking details from job applicants. Learn more about spotting and ...

J.P. Morgan

Data Scientist Associate

Plano, TX · On-site

$56K - $56K/yr

Job Summary As a Data Science Associate in our Merchant Services Cost Insights team, you will play ... Our history spans over 200 years and today we are a leader in investment banking, consumer and ...

New

JPMorgan Chase & Co

Data Scientist Associate

Plano, TX · On-site

$55K - $55K/yr

Job Summary As a Data Science Associate in our Merchant Services Cost Insights team, you will play ... Our history spans over 200 years and today we are a leader in investment banking, consumer and ...

New

JPMorgan Chase & Co

Data Scientist Associate

New York, NY · On-site

$64K - $65K/yr

Job Summary As a Data Science Associate in our Merchant Services Cost Insights team, you will play ... Our history spans over 200 years and today we are a leader in investment banking, consumer and ...

JP Morgan Chase

Data Scientist Associate

Plano, TX · On-site

$55K - $55K/yr

Job Summary As a Data Science Associate in our Merchant Services Cost Insights team, you will play ... Our history spans over 200 years and today we are a leader in investment banking, consumer and ...

New

JP Morgan Chase

Data Scientist Associate

New York, NY · On-site

$64K - $65K/yr

Job Summary As a Data Science Associate in our Merchant Services Cost Insights team, you will play ... Our history spans over 200 years and today we are a leader in investment banking, consumer and ...

JPMorgan Chase & Co.

Data Scientist Associate

Plano, TX · On-site

$55K - $55K/yr

Job Summary As a Data Science Associate in our Merchant Services Cost Insights team, you will play ... Our history spans over 200 years and today we are a leader in investment banking, consumer and ...

New

Tech Consulting

Be Seen First

Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type ... Fulltime Duration: 2 years Exp: 1-4 years(Entry level) Educational Qualification: Master's Degree ...

Kla

Data Scientist (Entry Level) - GSCS

Milpitas, CA · On-site

$67K - $114K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

New

Orbotech

Data Scientist (Entry Level) - GSCS

Milpitas, CA · On-site

$67K - $114K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

New

next page

Showing results 1-20

All JobsBank Data Scientist JobsEntry Level Bank Data Scientist Jobs

Entry Level Bank Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jul 14, 2026, the average yearly pay for entry level bank data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Bank Data Scientist, and why are they important?

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 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.

What are some common challenges faced by entry-level data scientists in the banking sector, 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 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.
More about Entry Level Bank Data Scientist jobs
What are the most commonly searched types of Bank Data Scientist jobs? The most popular types of Bank Data Scientist jobs are:
What states have the most Entry Level Bank Data Scientist jobs? States with the most job openings for Entry Level Bank Data Scientist jobs include:
What job categories do people searching Entry Level Bank Data Scientist jobs look for? The top searched job categories for Entry Level Bank Data Scientist jobs are:
Entry Level Bank Data Scientist jobs near you
Infographic showing various Entry Level Bank Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

Noblesoft Solutions

Jacksonville, FL • On-site

Contractor

Re-posted 4 days ago

Job description

Company Description

Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies.

Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products.

Our History

After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country.

Job Description

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology.

Qualifications

Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus.
Data Scientist
Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required
Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks
Implementing processes that improve and lead to greater data quality
Conducting statistical analyses to develop strategies
Documenting all processes and research
Building new algorithms and model training
Executing projects involving analytics
Identifying data patterns and trends
Analyzing data to develop predictive models
Creating, managing, and maintaining analytically rigorous data
Possessing a solid machine learning foundation
Proven record of successful statistical product delivery
Ability to execute health insurance use cases via statistical applications such as R or Python 
Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) 
Significant experience with SQL and working with large datasets required
Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate
Noting anomaly detection and running diagnostics
Performing graphical model analysis
Strong verbal and written communication skills

Additional Information

Candidates would Roll Perm at some point

Apply