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

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

Conduct data analysis and interpretation on other large data types in a genomic context ... Never provide your banking information to a third party purporting to need that information to ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

Conduct data analysis and interpretation on other large data types in a genomic context ... Never provide your banking information to a third party purporting to need that information to ...

RELX

Consulting Data Engineer

Raleigh, NC

$104K - $174K/yr

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We never request money or banking details from job applicants. Learn more about spotting and ...

LexisNexis

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We never request money or banking details from job applicants. Learn more about spotting and ...

LexisNexis

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We never request money or banking details from job applicants. Learn more about spotting and ...

RELX Group plc

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We never request money or banking details from job applicants. Learn more about spotting and ...

LexisNexis

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We never request money or banking details from job applicants. Learn more about spotting and ...

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All JobsBank Data Scientist JobsBank Data Scientist Jobs in Raleigh, NC

Bank Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do bank data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for bank data scientist 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 some common projects or challenges a bank data scientist might work on?

Bank Data Scientists often work on projects involving credit risk modeling, fraud detection, customer segmentation, and predictive analytics for loan approvals or marketing campaigns. A common challenge is ensuring data quality and regulatory compliance while handling large, sensitive financial datasets. Collaboration with business analysts, IT teams, and compliance officers is frequent, and the role requires translating complex analytics into solutions that directly impact banking operations and customer experience. Overcoming these challenges is key to optimizing business outcomes and maintaining competitive advantage in the banking sector.

What is a bank data scientist?

A Bank Data Scientist analyzes financial data to identify trends, detect fraud, assess risks, and improve banking operations. They use machine learning, statistical models, and big data techniques to provide insights that help in decision-making. Their work supports areas such as customer analytics, credit scoring, and regulatory compliance. Strong programming skills in Python, R, or SQL and knowledge of finance and risk management are essential for success in this role.

What are the key skills and qualifications needed to thrive in the bank data scientist position, and why are they important?

To thrive as a Bank Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field such as mathematics, economics, or computer science. Familiarity with tools like Python, R, SQL, and big data platforms, as well as certifications such as SAS or Data Science credentials, is often required. Strong communication, problem-solving, and collaboration skills are crucial for translating complex data insights into actionable strategies for cross-functional teams. These capabilities enable you to drive data-driven decision-making, ensure regulatory compliance, and support business growth in the banking industry.

What are the most commonly searched types of Bank Data Scientist jobs in Raleigh, NC? The most popular types of Bank Data Scientist jobs in Raleigh, NC are:
What are popular job titles related to Bank Data Scientist jobs in Raleigh, NC? For Bank Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Bank Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Bank Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Bank Data Scientist jobs? Cities near Raleigh, NC with the most Bank Data Scientist job openings:
Bank Data Scientist jobs near you
Infographic showing various Bank Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

AI Platform Director- Data Engineering

First-Citizens Bank & Trust Company

Raleigh, NC • On-site

$245K/yr

Other

Re-posted 21 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 170 rated banks

Job description

Overview
We are seeking an experienced Director to lead the AI platform engineering and enablement functions within our expanding Cloud Data and AI Platform organization. This role is instrumental in building, operationalizing, and governing the next-generation AI and machine learning ecosystem that powers advanced analytics and responsible AI adoption across the bank. You will own the end-to-end AI lifecycle-from data and model development to MLOps, deployment, governance, and responsible AI compliance in a regulated financial environment.
As a seasoned technology leader, you will bring your expertise in enterprise AI architecture, model operations, and platform engineering to partner with key business, technology, and governance stakeholders-ensuring AI initiatives are responsibly implemented, well-controlled, and deliver measurable value.
Responsibilities
AWS AI/ML Platform Ownership
  • Architect and lead AI/ML workloads on AWS including:
    • Amazon SageMaker (training, deployment, model registry)
    • AWS Bedrock (foundation models and GenAI use cases)
    • AWS Lambda, ECS, EKS for model serving
    • S3, Glue, Snowflake for data pipelines
  • Define enterprise standards for MLOps, feature stores, and model lifecycle management
  • Build and maintain integrations with enterprise platforms for data ingestion, metadata management, tokenization, and control evidence generation.
  • Continuously enhance the platform's automation, resilience, and observability, ensuring robust end-to-end telemetry for both model and data pipelines.
  • Collaborate with Enterprise Risk, Legal, Compliance, and Model Risk partners to embed Responsible AI principles and audit-ready control evidence directly into platform design.

Machine Learning & GenAI Execution
  • Oversee development of ML models across all business units including Fraud detection systems, Credit scoring and risk modeling, Customer segmentation and personalization, Liquidity related modeling etc.
  • Lead GenAI initiatives using LLMs for Document intelligence, AI copilots etc.


Data & Engineering Collaboration
  • Partner with data engineering teams to ensure high-quality, governed datasets
  • Define feature engineering and data product standards in Snowflake / data lake environments
  • Integrate real-time streaming data for low-latency decision systems


Model Governance & Risk Compliance
  • Define and enforce standards, patterns, and guardrails for model deployment, explainability, lineage, and monitoring in alignment with enterprise risk, compliance, and security frameworks.
  • Partner closely with leaders across Responsible AI Governance, AI Portfolio Management, AI Fluency & Engagement, and Applied Data Science & GenAI, in collaboration with enterprise risk partners, to implement a responsible AI framework that embeds audit-ready control evidence and governance mechanisms directly into the platform's core design to ensure the platform supports scalable, ethical, compliant, and high-impact AI delivery.
  • Implement model explainability (SHAP, LIME, interpretability frameworks)
  • Establish responsible AI policies (bias detection, fairness, auditability)


Team Building & Leadership
  • Develop and mentor engineering talent, championing Agile practices, continuous learning, and adoption of emerging AI and data engineering technologies.
  • Mentor senior technical leaders and establish engineering best practices
  • Oversee technical due diligence, onboarding, and management of strategic AI and GenAI vendors and tools, ensuring compatibility with enterprise architecture and control

Qualifications
Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management. OR High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.
Qualifications
  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance

Preferred Qualifications
  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at
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