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Insurance Computer Science Jobs in Milton, MA (NOW HIRING)

Amazon

Applied Scientist II - AMZ27057.1

Boston, MA · On-site

$161K - $193K/yr

Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Machine ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

ASUS

Senior Computer Vision Engineer

Boston, MA

$164K - $237K/yr

Years of Education * Bachelor's degree or higher in computer science, electrical engineering ... Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D ...

MORSE Corp

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or ... and life insurance. Employees also receive 10 paid holidays per year. MORSE maintains an "open ...

MORSE Corp

Lead Data Scientist (TS/SCI)

Cambridge, MA · On-site

$90K - $210K/yr

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or ... and life insurance. Employees also receive 10 paid holidays per year. MORSE maintains an "open ...

Xometry

Senior Data Scientist, Costing

Waltham, MA · On-site

Bachelor's degree required; degree in applied math, computer science, natural sciences or ... insurance; generous paid time off including vacation, sick leave, floating and fixed holidays ...

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All JobsInsurance Computer Science JobsInsurance Computer Science Jobs in Milton, MA

Insurance Computer Science information

Is computer science dead due to AI?

Computer science remains a vital field for insurance professionals, as AI and automation tools enhance data analysis, risk assessment, and decision-making processes. While AI automates certain tasks, expertise in algorithms, programming, and system design continues to be essential for developing and maintaining these technologies. Ongoing learning and adaptation are important for computer science roles in the insurance industry.

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.

Are CS grads struggling to find jobs?

Computer Science graduates often find opportunities in various fields, including insurance technology, where skills in programming, data analysis, and cybersecurity are valued. Job market demand remains steady for those with strong technical skills and relevant certifications, though competition can vary by location and specialization.

Which insurance field pays the most?

In the insurance industry, actuarial science and insurance underwriting are among the highest-paying fields, often requiring strong analytical skills and certifications such as the ASA or FSA. These roles typically offer higher salaries compared to claims adjusting or customer service positions, especially at senior levels or with specialized expertise.
What cities near Milton, MA are hiring for Insurance Computer Science jobs? Cities near Milton, MA with the most Insurance Computer Science job openings:
Insurance Computer Science jobs near you
HPC AI Technologist

HPC AI Technologist

Cambridge Computer Services, Inc

Waltham, MA

$90K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

How to Apply
 
Applicants are required to submit both a resume and a cover letter in PDF format for consideration. Within the cover letter, please provide responses to the following questions:

Question 1: How many HPC clusters have you deployed, how did you deploy them, what hardware and software was included?
Question 2: How did you develop your knowledge and skills in HPC?
Question 3: What is your preferred method/software for cluster provisioning? 

Only candidates who provide complete application materials, including responses to the above questions, will be considered.

Job Overview:

  • The Cambridge HPC AI Technologist is a field-based consultant that builds end-to-end research computing system solutions.  You will leverage your expertise in scientific computing and knowledge of the technology landscape to drive outcomes that exceed client expectations.


Responsibilities and Duties:

  • Gather client requirements, design optimized solutions, sometimes using a single vendor's portfolio and more often using a broad variety of vendors and technologies.

  • Deploy a new solution or augment an existing HPC/AI solution from the ground up.  

  • Consult on and assist with day-to-day management of clients’ research compute infrastructure environments.

  • Maintain HPC/AI infrastructure in Linux-based environments for new and existing clients.

  • Lead technical discussions and be the face to the client in preparation for and during engagements.

  • Validate solution designs, meet client requirements, and are technically feasible and deployable.

  • Ensure solutions are simple and easy to understand while taking into account the client’s overall capabilities / skills.

  • Scope out and detail professional services deliverables setting clear client expectations.

  • Build documentation and provide knowledge transfer required for clients to support their environments.

  • Display expertise in storage, networking, data protection, digital archiving, and other infrastructure technologies.  

  • Gain advanced expertise of and certifications from the vendors Cambridge uses in our solution stack.  


Qualifications:

  • Candidates must have at least 5+ years providing deployment services or cluster administration.  

  • University undergraduate degree in Computer Science, Computer Engineering, or science related field required.  

  • Candidates must also display solid knowledge of GPU-focused hardware/ software and Linux system administration (package management, IP networking, troubleshooting etc.).  They must also have solid fundamentals in cluster design / management technologies (Bright, Werewolf, XCat etc.), a background with storage technologies and parallel filesystems (Lustre, GPFS, BeeGFS etc.), experience with networking and configuring network switches (ethernet and InfiniBand), acquaintance with HPC schedulers (SLURM, UGE, LSF, etc.) and programming / libraries (MPI, CUDA, etc.), and proficiency with Scripting (Bash, Python, etc.).

  • Have hands-on working knowledge of tech industry leaders including AMD, DDN, Dell, HPE, IBM, Intel, Juniper, Lenovo, Microsoft, NVIDIA, Oracle, Vast, VMWare, WEKA, and others.

  • As this is a field-based role, the employee must be able to work remotely, independently, and unsupervised.  Travel will be approximately 50% of the time which includes short day trips. 

  • Candidates must have impeccable communication skills, an ability to multitask, and high attention to detail.  They must be effective problem solvers, organized, creative, intellectually curious, deal with ambiguity, and able to work with different types of personalities.

  • Authorization to work in the United States on a full-time basis required.

About Us
 
Cambridge Computer is a leader in delivering innovative physical and cloud-based IT infrastructure, data storage, and data security solutions to clients in a wide variety of industries across North America. Our clients include Fortune 100 companies, nonprofits, academic institutions, and some of the hottest high-technology companies in the country. We use creativity, technical expertise, and extensive industry relationships with investors, entrepreneurs, technology visionaries, and manufacturers to identify and incorporate both new and existing paradigms into cohesive IT strategies for our clients. Also, we're a Woman-Owned Small Business, with a close-knit staff of about 70 people that hail from all over the world.  
 
Benefits
 
We recognize that satisfaction and well-being are integral components for long-term sustainability and business success. As such, available to full-time employees are the following benefits:
  • Competitive salary
  • Multiple health insurance options
  • Medical FSA and Dependent Care FSA
  • Dental insurance
  • Vision insurance
  • 401(k) savings plan with employer matching
  • Employer-sponsored long-term disability
  • Paid holidays and PTO that increases with longevity at the company
  • Discounted health club membership
  • Convenient parking
  • Opportunities for growth!
 
Estimated Salary Range
$90k - $210k per year
 
Equal Opportunity Employer
Cambridge Computer provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, military service, or veteran status in accordance with applicable federal, state and local laws.
Employment Type: FULL_TIME

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