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Insurance Computer Science Jobs in Miami, FL (NOW HIRING)

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

$156K - $355K/yr

Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative ... insurance, and 401(k) to eligible employees. #LI-RO

Gopuff

Senior Data Scientist - Delivery Technology

Miami, FL · On-site +1

$175K - $195K/yr

MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering ... Medical/Dental/Vision Insurance * 401(k) Retirement Savings Plan * HSA or FSA eligibility * Long ...

Gopuff

Senior Data Scientist - Delivery Technology

Miami, FL · On-site +1

$175K - $195K/yr

MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering ... Medical/Dental/Vision Insurance * 401(k) Retirement Savings Plan * HSA or FSA eligibility * Long ...

Base-2 Solutions, LLC

Data Layer Engineer

Doral, FL · On-site

$105K - $127K/yr

Bachelor's degree in Data Management, Information Science, Computer Science, or a related field OR ... insurance up to $200,000. Retirement * 401(k) with immediate vesting: 4% company match plus a 4% ...

Deloitte

Insurance Tech Senior Manager

Miami, FL

$108K - $149K/yr

Bachelor's degree in Computer Science, Engineering, or Information Systems * 8+ years of Guidewire ... Experience implementing Insurance Services Office or bureau content, rating engines, and product ...

Base-2 Solutions, LLC

Help Desk Lead

Doral, FL · On-site

Bachelor's degree in Information Technology, Computer Science, or a related field OR a minimum of 5 ... insurance up to $200,000. Retirement * 401(k) with immediate vesting: 4% company match plus a 4% ...

Base2 Solutions

Help Desk Lead

Doral, FL · On-site

Bachelor's degree in Information Technology, Computer Science, or a related field OR a minimum of 5 ... insurance up to $200,000. Retirement * 401(k) with immediate vesting: 4% company match plus a 4% ...

Broward college

Science Lab Technician

Davie, FL · On-site

$36K - $43K/yr

Microsoft Office Products as well as specialized computer systems * Ability to interact and ... Affordable High Quality Healthcare Insurance (Medical, Dental & Vision) * Retirement Options ...

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All JobsInsurance Computer Science JobsInsurance Computer Science Jobs in Miami, FL

Insurance Computer Science information

What is the difference between Insurance Computer Science vs Insurance Underwriter?

AspectInsurance Computer ScienceInsurance Underwriter
Required CredentialsDegree in Computer Science, Data Analysis certificationsDegree in Business, Finance, or Risk Management
Work EnvironmentTech-focused, data-driven, often in offices or remoteOffice setting, assessing risks, interacting with clients and agents
Employer & Industry UsageInsurance companies, tech firms, insurtech startupsInsurance carriers, brokerage firms, underwriting agencies
Common Search & ComparisonInsurance Computer Science vs Insurance Underwriter

Insurance Computer Science professionals focus on developing and managing insurance-related software, data analysis, and technology solutions. In contrast, Insurance Underwriters evaluate risks and determine policy terms. Both roles are vital in the insurance industry but differ in skills, work environment, and daily responsibilities.

What is Insurance Computer Science?

Insurance Computer Science is a specialized field that focuses on applying computer science principles, such as programming, data analysis, and systems development, to the insurance industry. Professionals in this area develop software applications, analyze large datasets, and create algorithms to streamline insurance processes like underwriting, claims management, and risk assessment. Their work helps insurance companies improve efficiency, reduce fraud, and deliver better customer experiences through technology. As digital transformation continues, the demand for computer science experts in insurance is growing rapidly.

What other jobs can I get with a computer science degree?

With a computer science degree, you can pursue roles such as software developer, data analyst, cybersecurity analyst, systems analyst, or IT consultant. These jobs often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases and operating systems.

What are some common challenges faced by computer science professionals working in the insurance industry?

Computer science professionals in the insurance industry often navigate challenges such as integrating legacy systems with modern technologies, ensuring data security for sensitive customer information, and adapting to frequent regulatory changes. Additionally, they may need to collaborate closely with actuaries, underwriters, and business analysts to develop and maintain robust software solutions that support underwriting, claims processing, and risk analysis. The fast pace of technological advancements in areas like AI, machine learning, and data analytics also requires continuous learning and adaptation.

What are the key skills and qualifications needed to thrive as an Insurance Computer Science professional, and why are they important?

To thrive as an Insurance Computer Science professional, you need a strong background in computer science principles, data analysis, and a solid understanding of insurance industry processes, typically supported by a relevant degree. Familiarity with programming languages (such as Python, Java, or SQL), data analytics tools, and insurance software systems is highly valued, and certifications like CPCU or relevant IT credentials can enhance your profile. Analytical thinking, problem-solving abilities, and effective communication are vital soft skills for collaborating with technical and non-technical stakeholders. These skills ensure the creation of robust technology solutions that optimize insurance operations and support sound business decisions.

What jobs pay 2000 a day?

In the field of insurance computer science, high-paying roles such as senior software engineers, data scientists, or cybersecurity specialists can earn around $2,000 per day, especially with extensive experience, specialized skills, and working for large organizations or consulting firms. These positions often require advanced technical knowledge, certifications, and the ability to handle complex systems or data security tasks.

What software is used in insurance companies?

Insurance computer science professionals typically work with software such as claims management systems, policy administration platforms, customer relationship management (CRM) tools, and data analysis software like SAS or SQL. They also use programming languages like Java, Python, or C++ for developing and maintaining insurance applications, along with specialized actuarial and underwriting software. Familiarity with enterprise resource planning (ERP) systems and data security tools is also important in this field.
What are popular job titles related to Insurance Computer Science jobs in Miami, FL? For Insurance Computer Science jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Insurance Computer Science jobs in Miami, FL look for? The top searched job categories for Insurance Computer Science jobs in Miami, FL are:
What cities near Miami, FL are hiring for Insurance Computer Science jobs? Cities near Miami, FL with the most Insurance Computer Science job openings:
Insurance Computer Science jobs near you
Applied Scientist AI/ML

Applied Scientist AI/ML

Opendoor

Miami, FL • On-site

$156K - $355K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.
About the Role
We're looking for an Applied Scientist (ALL LEVELS) to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems - ensuring we provide the most accurate and transparent pricing possible - the scope goes well beyond pricing. You'll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.
What You'll Need
  • Strong software engineering and coding skills in Python, with experience contributing to production codebases
  • Experience developing and deploying ML models end-to-end - from research and prototyping to implementation in production systems
  • Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar
  • Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field
  • Solid foundation in statistics and experimental design
  • Strong communication and collaboration skills - you're comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have
  • Familiarity with Pyspark and distributed data processing
  • Background in search, recommendation systems, or personalization
  • Experience working with large language models (LLMs) or vision-language models (VLMs)
  • A genuine interest in real estate - no prior experience required, but you'll engage deeply with housing data

What You'll Do
  • Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models
  • Build interpretable ML models that can help us explain pricing decisions to customers
  • Incorporate unstructured data - like images, videos, or text - into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.)
  • Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems
  • Improve the feature engineering and model training pipelines that power our production systems
  • Rethink our risk and optimization models using real-world data and domain insight
  • We're a small, nimble team - there's ample opportunity to work across the entire research and modeling stack.

Compensation
The base pay range for this position is $156,800-$355,000 annually, plus RSUs. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
#LI-RO

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