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Credit Risk Data Science Jobs in Houston, TX (NOW HIRING)

Alpha Generation

Sr. Risk Analyst

Houston, TX · On-site

Collaborate with front-office, back-office, and IT teams to maintain and improve risk data flows ... Bachelor's degree in finance, economics, engineering, mathematics, computer science or a related ...

Tyndale

Project Manager, AI and Data Science

Houston, TX · On-site

$130K - $150K/yr

Maintain an active risk and issue log; drive mitigations and escalations that protect delivery ... Proven experience delivering Data Science or machine learning projects, including coordination of ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... technical debt and delivery risk * Collaborative approach to problem solving - ability to ...

Tyndale

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

Maintain an active risk and issue log; drive mitigations and escalations that protect delivery ... Proven experience delivering Data Science or machine learning projects, including coordination of ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... technical debt and delivery risk * Collaborative approach to problem solving - ability to ...

San Jacinto College

Data Scientist I

Pasadena, TX · On-site

... Data Science function by preparing data, conducting defined components of advanced quantitative ... This work helps the College better understand patterns, trends, risk factors, outcomes, and ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... technical debt and delivery risk * Collaborative approach to problem solving - ability to ...

San Jacinto College

Data Scientist I

Pasadena, TX · On-site

... Data Science function by preparing data, conducting defined components of advanced quantitative ... This work helps the College better understand patterns, trends, risk factors, outcomes, and ...

East West Bank

Financial Crimes Data Scientist

Houston, TX · On-site

$100 - $200/hr

Develop risk-scoring, anomaly detection, predictive, and network analytics models using internal ... Hands-on experience with data science tools * Problem-solving aptitude * Analytical mind and great ...

New

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Develop predictive models for compliance risk scoring, regulatory change impact, anomaly detection ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field (PhD ...

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Showing results 21-40

All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Houston, TX

Credit Risk Data Science information

See Houston, TX salary details

$35.3K

$108.8K

$188.6K

How much do credit risk data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for credit risk data science in Houston, TX is $108,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $134,200.00 per year, depending on experience, location, and employer.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.
What are popular job titles related to Credit Risk Data Science jobs in Houston, TX? For Credit Risk Data Science jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Houston, TX look for? The top searched job categories for Credit Risk Data Science jobs in Houston, TX are:
What cities near Houston, TX are hiring for Credit Risk Data Science jobs? Cities near Houston, TX with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,753 per year, or $52.3 per hour.

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 6 days ago

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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