Hi, Welcome!

And yes, our client is hiring in the corona economy / COVID-19 economy. We recognize this is a stressful time for everyone, including you, and we want to try to make things as easy and transparent as possible. During this time we are keeping regular, open, and honest communication with our clients, getting answers to questions on their hiring process, offer process, and onboarding process. We are happy to share this information with you during informational conversations and answer any additional questions you have.

Ready to learn more?

Our Texas Multi-line Insurance Carrier client is seeking a data scientist to join its team. In this role you will work with actuarial, underwriting, claims, and marketing leadership to develop new solutions as well as expand on existing solutions. You will be responsible for building out a suite of models to help the company better understand how to retain existing customers and attract new ones too. Most excitingly, you will be leading the company’s efforts to explore and integrate telematics and smart home solutions. Our client is a family-friendly company with great benefits.


  • You will lead and advance the use of advanced analytics using predictive modeling, machine learning, and other advanced techniques
  • You will identify, recommend, and pursue projects, analyses, and other items to further advance the goals of the team and company and recommend and develop new metrics to advance decision making
  • You will build large and complex information sets using both unstructured and structured data and provide guidance on the tools and platforms to utilize
  • You will provide detailed insights to management on issues, opportunities for growth, competitiveness, and profitability

To be successful in this role, you should have at least three (3) years of experience in a quantitative field that is preferably data science and you should be proficient in SQL, R or Python, and up-to-date on the most recent big data tools such as AWS and/or Hadoop.

Click HERE to Apply