2

Data Scientist Bank Remote Jobs in Raleigh, NC (NOW HIRING)

Data Scientist

Raleigh, NC ยท On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

Be Seen First

Data Scientist

Durham, NC ยท Remote

$51 - $58/hr

... Data Scientist to support environmental health and extreme weather research initiatives ... This is a long-term contract opportunity offering remote work flexibility. We are looking for ...

Working closely with other data scientists and engineers to design, develop, and deploy AI ... Remote Client Industry: Risk- Legal and Professional Reference ID: About Korn Ferry Korn Ferry ...

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

Senior Data Scientist III

Raleigh, NC ยท On-site +1

$115.40K - $192.30K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the ... We never request money or banking details from job applicants. Learn more about spotting and ...

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... We never request money or banking details from job applicants. Learn more about spotting and ...

Data Science Consultant

Raleigh, NC ยท On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

Decision Scientist

Raleigh, NC ยท On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

AI Data Architect

Raleigh, NC ยท On-site +1

$83.20K - $178.80K/yr

However, the remote location must within the US. How you'll spend your time: * Define and implement ... Partner with AI engineers, data scientists, and business leaders to align data architecture with ...

next page

Showing results 1-20

Data Scientist Bank Remote information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do data scientist bank remote jobs pay per year?

As of May 27, 2026, the average yearly pay for data scientist bank remote in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist in a remote banking role, and why are they important?

To thrive as a Data Scientist in a remote banking role, you need a strong background in statistics, data analysis, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, and machine learning platforms, as well as certifications like Certified Analytics Professional (CAP), is highly valued. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating across teams and explaining complex insights in a remote environment. These skills and qualities are essential for developing secure, data-driven solutions that support banking operations and drive business decisions from a distance.

How does a remote Data Scientist at a bank typically collaborate with cross-functional teams?

As a remote Data Scientist in a banking environment, you will regularly collaborate with cross-functional teams such as risk management, IT, product development, and regulatory compliance. Communication is often facilitated through digital collaboration tools and regular virtual meetings, where you'll discuss project requirements, share insights from your analyses, and align on data-driven strategies. Successful remote collaboration requires proactive communication, clear documentation, and strong teamwork skills to ensure that data solutions are effectively integrated into banking operations and support business objectives.

What does a Data Scientist do at a bank in a remote role?

A Data Scientist working remotely for a bank analyzes large sets of financial and customer data to identify trends, build predictive models, and support strategic decision-making. Their tasks often include developing algorithms to detect fraud, improve risk assessment, personalize banking products, and optimize operations. Remote data scientists use tools like Python, SQL, and machine learning frameworks to collaborate with cross-functional teams virtually, ensuring security and compliance with financial regulations.
What are popular job titles related to Data Scientist Bank Remote jobs in Raleigh, NC? For Data Scientist Bank Remote jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Scientist Bank Remote jobs in Raleigh, NC look for? The top searched job categories for Data Scientist Bank Remote jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Scientist Bank Remote jobs? Cities near Raleigh, NC with the most Data Scientist Bank Remote job openings:
Data Scientist

Data Scientist

Elder Research

Raleigh, NC โ€ข On-site, Remote

Full-time

Posted 18 days ago


Job description

Data Scientist


General Information

Requisition # 694

Locations USA-VA-Arlington OR USA-NC-Raleigh

Posting Date 05/08/2026

Security Clearance Required - NONE

Remote Type Hybrid

Time Type Full time


Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC or Washington DC. This role is hybrid, and candidates must be located in the Raleigh or Washington, DC market to support 1โ€“2 days onsite per week.

This role is for a highly experienced and curious data scientist to lead the full-lifecycle development and deployment of analytical solutions at Elder. You will operate as a critical member of an analytics team, acting as a trusted advisor to diverse client partner team. The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

Responsibilities include but are not limited to:

  • Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build, train, and maintain predictive models. Additionally, candidate should be capable of leading and mentoring more junior data scientists.
  • Problem Solver and Consultant: Engage in critical requirements gathering and data "sleuthing" (approximately 10-20% of the role) to connect business use cases with underlying data patterns. You will carve your own path to define and solve problems that lack clear initial definitions.
  • Deliver Automation and Insights: Partner with technical and non-technical groups to identify manual processes and provide recommendations for automation, including building models for functions like anomaly detection and case prediction.
  • Full-Lifecycle Ownership: Utilize data engineering skills to integrate and deploy your analytical solutions, ensuring scalability and operational reliability. This includes troubleshooting deployment issues as needed.
  • Collaborate and Communicate: Interface with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.

Minimum Qualifications:

  • 5+ years of experience as a Data Scientist.
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • Proficiency in Python, including libraries for data analysis and modeling.
  • Strong SQL experience to facilitate deep dives and analysis of complex datasets.
  • Strong hands-on experience with AWS services, Sagemaker, Lambda, Step Functions, Glue, S3, and Athena, used to build and manage production data pipelines.
  • Knowledge of CI/CD pipelines, version control (Git), and Infrastructure-as-Code.
  • Familiarity with logging, monitoring, and alerting using CloudWatch or similar tools.
  • Understanding of IAM roles, policies, and security best practices for AWS services.
  • Curiosity and a passion for exploring data to understand business context and connect technical work to real-world impact.
  • Willingness to learn new tools/techniques.

Preferred Qualifications:

  • Familiarity with AWS Cloud Development Kit (CDK) and/or Typescript.
  • Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
  • Strong consultative and communication skills, capable of representing the team effectively to clients.
  • Ability to work autonomously in a fully remote, flexible environment.
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.