HOUSTON DATA & AI RECRUITMENT
OVERVIEW
Harnham is a global Data and AI Recruitment consultancy that have a dedicated team of consultants, to help clients in Houston to find the top Data & AI talent for their data jobs.
Our team are experts in the Data and AI field and have a deep understanding of the Houston AI and data science landscape. We also have an extensive database of both clients and candidates in the area so whether people come to us as job seekers or instead are looking to fill a data role we have the resources to get them exactly what they need.
We work with organizations of all sizes to help them find the best data and analytics, talent in the area. Our consultants are available to discuss clients' specific needs, as well as provide advice and industry insights based on our research, in order to make sure clients can make the best hiring decisions regarding data roles. Discover more by speaking to our Data & AI Recruiters in Houston today.
DATA & AI RECRUITMENT AND STAFFING
HOW WE DO IT
Just like the Data & AI professionals we place, Harnham use tried and tested models in our recruitment processes.
By gaining valuable market knowledge across a range of industries and regions, Harnham is able to provide a service which is second to none within our marketplace.
We have seen unprecedented growth in our specialist sector and always have a wide range of vacancies at both junior and senior level including AI jobs, Data Science jobs, Data Analyst jobs, and Big Data jobs, all available throughout the UK, France, United States, and the Netherlands. To find out more, contact our Data & AI recruiters in Houston todayÂ


WHAT SETS US APART FROM OTHER HOUSTON DATA & AI RECRUITMENT AGENCIES?
Harnham stands out from other Data & AI Recruitment agencies in Houston because of our focus on data-driven roles and our long-standing history of matching the right candidates to the right roles in the data industry.
Our Data & AI Recruiters in Houston are experts in the data analytics space. They use their extensive knowledge and experience to ensure that our clients in Houston are well-advised and thoroughly informed in order to make the best hiring decisions.
Additionally, we are able to provide our clients with industry insights based on our research. For example, we publish both a salary guide and a diversity guide based on the data industry every year, so we provide our clients with enough information to get the best experience when hiring for a Data or AI position.
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JOBS
LATEST HOUSTON
DATA & AI JOBS
Harnham are a specialist Data & AI Recruitment business with teams that only focus on niche areas.

Senior Manager of Data Science
Dallas
$170000 - $200000
+ Risk Analytics
PermanentDallas, Texas
To Apply for this Job Click Here
The Data Science team applies advanced statistical and machine learning techniques to create predictive models used inUnderwriting, Account Management, and Operations. They are looking for Senior Manager of Data Science to lead a small team.
Responsibilities:
- Lead a team of data scientists to deliver predictive models, risk models, and analytical solutions that drive business value.
- Design, develop, and deploy machine learning algorithms for use across various functions including Underwriting, Marketing, and Operations.
- Collaborate with business partners to meet goals and support various teams and portfolios.
- Communication is very important for this role. This individual will presenting findings and communicating with execs and stakeholders. As well as communicating with their team.
- Process and analyze large datasets using tools like Python, Spark, and Snowflake.
- Implement and test machine learning algorithms for risk management in acquisition channels.
- Apply data mining techniques to minimize credit/fraud losses and optimize product profitability.
- Manage the implementation of scoring models on decision platforms, including the cloud.
- Provide expertise on third-party data sources (e.g., TransUnion, Experian) and guide effective data usage.
- Document models and processes using tools like Jupyter Notebook and Rmarkdown.
Qualifications:
- Master’s degree in a quantitative field (Statistics, Economics, Mathematics, Engineering, etc.); Ph.D. preferred.
- At least six years of experience in data science or risk modeling, with three years in a leadership role.
- Expertise in machine learning techniques (Random Forest, Gradient Boosting, LASSO, etc.).
- Strong data manipulation and engineering skills.
- Proficiency in Python, R, Java, Linux, and big data tools (e.g., Spark, Hadoop, Snowflake).
- Experience with database technologies (NoSQL, JSON/XML parsing, etc.).
- Excellent communication skills and the ability to work in a fast-paced environment.
If this sounds like a good fit. Please apply and include your resume!
To Apply for this Job Click Here

Staff Software Engineer, AI
Austin
$65 - $90
+ Data Science & AI
ContractAustin, Texas
To Apply for this Job Click Here
Staff Software Engineer, AI
Are you an experienced AI Software Engineer with a passion for building innovative solutions? In this role, you’ll join a dynamic team working to push the boundaries of artificial intelligence and machine learning in the healthcare space. This is a fantastic opportunity to help evolve cutting-edge AI solutions for genetic testing.
Role – Staff Software Engineer, AI
Location – Remote
Pay Rate – $65-90/hr
Benefits – W2 employees receive access to benefits such as Medical, Dental, Vision, 401k
OUR CLIENT
This organization is at the forefront of the healthcare and AI space, using advanced technologies to enhance the accuracy and efficiency of genetic tests. With a focus on innovation and collaboration, the company is dedicated to advancing AI and machine learning techniques to improve patient outcomes. Are you ready to make an impact?
THE ROLE
- Help build AI expertise within a team of non-AI software engineers.
- Lead the development of a multi-label document classification system.
- Design and implement sticker detection and text extraction systems.
- Integrate Large Language Models (LLMs) and vectorstores for document analysis.
- Develop anomaly detection mechanisms for PDF documents.
- Perform consistency checks on extracted data using LLMs.
- Work within an existing tech stack using Java/SpringBoot, GitLab, Kafka, and Kubernetes to accept orders for genetic tests.
- Enhance the use of OCR technology (Hyperscience, AWS Textract, and Rekognition) and LLMs to improve functionality and scalability.
YOUR SKILLS AND EXPERIENCE
A successful AI Software Engineer for this role will likely have the following skills and experience:
- Strong experience in OCR technologies, particularly AWS Textract and Rekognition.
- Expertise in working with Large Language Models (LLMs), with hands-on experience using AWS Bedrock.
- Proficiency in computer vision, particularly in sticker detection and text extraction.
- Solid background in supervised machine learning development and deployment.
- Experience in building production-grade applications using Python/Java, with a focus on robust metrics.
- Previous experience in the healthcare space and familiarity with HIPAA regulations is a plus.
HOW TO APPLY
Please register your interest by sending your resume via the Apply link on this page.
To Apply for this Job Click Here

VP of Risk Management
Dallas
$250000 - $275000
+ Risk Analytics
PermanentDallas, Texas
To Apply for this Job Click Here
Public Job Description: VP of Risk Management
Location: Dallas/Fort Worth, TX (Remote options available for exceptional candidates)
About the Company: We are a fast-growing fintech company that is transforming the financial services industry with innovative products and cutting-edge technology. Our mission is to provide accessible financial solutions to help individuals manage their credit and financial health. We are seeking an experienced VP of Risk Management to lead risk strategy across key areas of the business, including fraud prevention, account management, and data analysis.
Position Overview: As the VP of Risk Management, you will play a pivotal role in shaping and executing risk management strategies across multiple functions. This role is ideal for a versatile and hands-on leader who thrives in a fast-paced environment and can navigate a broad range of responsibilities. You will lead initiatives in risk analysis, fraud management, data analytics, and account management, particularly with bank transaction data. Additionally, you will oversee partnerships, ensuring alignment with the company’s overall risk management objectives.
This is a leadership position that requires a strong background in credit risk management, data-driven decision-making, and cross-departmental collaboration. You will manage teams in Dallas as well as remote employees, and work closely with product, marketing, and other departments to ensure the company is building products that minimize risk and maximize value for customers.
Key Responsibilities:
- Leadership & Team Management: Lead and manage risk management teams located in Dallas and remotely, offering mentorship and fostering a collaborative environment.
- Risk Analysis & Strategy: Analyze the risk impact of new products and services, making data-driven recommendations to mitigate potential risks.
- Cross-Functional Collaboration: Work across the company to align on risk management initiatives, ensuring all teams are working towards the same objectives.
- Fraud Prevention & Modeling: Spearhead the development of fraud prevention solutions using AI tools and technologies. Lead efforts to create a real-time decision-making platform by the end of the year.
- Account & Partnership Management: Oversee partnerships and account management to ensure risk management strategies are aligned with overall business goals.
Experience & Qualifications:
- 10+ years of experience in risk management, with a strong focus on Credit Risk Management.
- Extensive experience with decision engines, risk tech platforms, and credit bureaus.
- Proven experience in leading teams and executing roadmaps for complex risk management projects.
- Hands-on experience with AI technologies, particularly in the development of models for fraud detection and credit risk.
- Expertise in working with bank transaction data, underwriting policies, and manual underwriting processes.
Compensation:
- Base Salary: $250,000 – $275,000
- Bonus: 30% performance-based
- Equity: Participation in the company’s equity program
To Apply for this Job Click Here

We are the global leaders in Data & AI recruitment
With over 15 years of experience working solely in the Data & AI sector, our Houston-focussed consultants are able to offer detailed insights and support into the industry.
Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
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