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

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 ...

Base2 Solutions

Help Desk Lead

Doral, FL

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% ...

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% ...

Nalley Consulting

Ontologist - Sr

Miami, FL · On-site

$117K - $154K/yr

D.) in Computer Science, Information Science, Artificial Intelligence, Geospatial Science, GIS ... Company-paid short-term disability, long-term disability, and life insurance. Powered by JazzHR ...

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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.

Which CS has the highest salary?

In the field of computer science, roles such as machine learning engineers, data scientists, and software architects tend to have the highest salaries. These positions often require advanced skills, certifications, and experience in areas like AI, big data, and cloud computing.

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 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
Infographic showing various Insurance Computer Science job openings in Miami, FL as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 33% In-person, 33% Hybrid, and 34% Remote job distribution.
Senior Data Scientist - Delivery Technology

Senior Data Scientist - Delivery Technology

Gopuff

Miami, FL • On-site, Remote

$175K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Gopuff rating

4.8

Company rating: 4.8 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

20th of 22 rated food delivery companies

Job description

Are you passionate about data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at Gopuff? Come join the Gopuff Data Science team and #ChangeTheGame. Gopuff is a high-growth startup that is revolutionizing hyper-local instant e-commerce. We warehouse and deliver tens of thousands of products to your door super fast.
 
As a Senior Data Scientist at Gopuff working on the Delivery Technology Team, you will lead the vision and delivery of data driven models to optimize the delivery experience for consumers and delivery partners on our platform across dispatch optimization, delivery routing/ETAs, driver pricing/incentives, as well as the delivery partner experience. All of that, with a direct impact on the delivery experience that is so core to serving our customers' immediate needs, means you'll have the opportunity to make a huge impact on the future success of Gopuff.
 
We're looking for a doer, problem solver, and thought-leader.
You Will
  • Own the end-to-end development and operation of deep learning-based ETA prediction systems-building features, training/testing models, running experiments, monitoring and explaining performance in production.
  • Collaborate with our business, product, and engineering partners across the organization to vision and deliver data science solutions for practical business problems.
  • Deeply understand our users, our products, and our data to identify opportunities for creating machine learning, optimization and causal inference solutions to deliver a better customer experience and make our business more efficient.
  • Build data driven, robust and replicable data science models.
  • Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics.
You Have
  • MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field with 2+ years of experience working in delivery and/or logistics (or 8+ years of industry experience in data science).
  • Strong ability in translating ambiguous business problems into well-defined technical objectives and providing concrete data science solutions.
  • Expert in machine learning, statistics, and experimentation.
  • Proficient in Python, SQL, and source control management tools.
Compensation
  • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we'd reasonably expect to pay candidates. A candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role's compensation package, please reach out to the designated recruiter for this role.
  • This role is eligible for a discretionary annual cash bonus and participation in Gopuff's equity incentive plan.
  • On-site Base Salary Range: $175,000 - $195,000
  • Remote Base Salary Range: $155,000 - $175,000
What We Offer
  • Medical/Dental/Vision Insurance 
  • 401(k) Retirement Savings Plan
  • HSA or FSA eligibility
  • Long and Short-Term Disability Insurance
  • Mental Health Benefits
  • Fitness Reimbursement Program
  • 25% employee discount & FAM Membership
  • Flexible PTO
  • Group Life Insurance
  • EAP through AllOne Health (formerly Carebridge)
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it-stuff happens. But that's where we come in, delivering all your wants and needs in just minutes.
 
And now, we're assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
 
Like what you're hearing? Then join us on Team Blue.
 
#LI-GOPUFF
 
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About GoPuff

Sourced by ZipRecruiter

Customers turn to Gopuff to provide their everyday essentials-day and night, rain or shine. We're assembling a team of thinkers, dreamers and risk takers who are ready to help us reshape the world of retail faster than ever before. And it doesn't hurt if you like snacks.

Industry

Retail

Company size

5,001 - 10,000 Employees

Headquarters location

Philadelphia, PA, US

Year founded

2013

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