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

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K/yr

Graduate degree in Data Science, Computer Science, Statistics, or a related field * Minimum ... Lutron's employee benefits include 401k match, health, dental, and life insurance, paid vacation ...

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

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 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
Computational Mechanics Scientist (Structural Solver)

Computational Mechanics Scientist (Structural Solver)

Flexcompute Inc.

Watertown, MA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago

Job description

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory
We prioritize fundamental understanding over tool proficiency. We are looking for an architect who can derive the governing equations from first principles and implement them into a robust numerical framework.
About Flexcompute
We are a "Physics Intelligence" company making hardware innovation as easy as software. Our solvers (Flow360, Tidy3D) are not just faster; they are effectively instant, reducing simulation times from days to minutes using massive GPU parallelism and proprietary algorithms.
  • Intellectual Density: We maintain an exceptionally high talent bar. Our team of ~90 includes over 50 PhDs from MIT, Stanford, and top research labs. You will work alongside peers who will challenge your thinking and elevate your work daily.
  • Impact: Our technology is currently used to design optical interconnects, 3D chiplets, quantum computing chips, eVTOL aircraft, and next-gen wind turbines. You are building the "math engine" that drives real-world engineering breakthroughs.
  • Stability & Growth: We are a Series C stage company with significant funding, revenue-generating products, and a clear path to disrupting the $20B+ simulation market.

Requirements
  • Education: Ph.D. in Applied Mechanics, Physics, Applied Mathematics, or a related field.
  • Deep Physics Intuition: You possess an intuitive grasp of continuum mechanics-elasticity, plasticity, contact mechanics, and wave propagation. You can predict how a structure should behave before the simulation runs.
  • Advanced Numerical Analysis: You have a theoretical mastery of numerical PDEs. You can mathematically prove the consistency, stability, and convergence of a scheme. You understand the trade-offs between implicit/explicit integration and various spatial discretizations.
  • Strong General Programming: Proficiency in at least one high-level language (C++, Python, Julia, Rust, or Fortran) with a focus on algorithmic efficiency. You understand data structures, computational complexity (Big O), and how to write maintainable research code.
  • First-Principles Thinking: Demonstrated ability to solve novel problems where no textbook solution exists.

Preferred (But Not Required)
  • Interest in learning High-Performance Computing (HPC) and GPU architecture.
  • Experience with C++ for scientific computing.
  • Exposure to multi-physics coupling (fluid-structure interaction, thermal-stress).

Key Responsibilities
  • Solver Formulation: Derive and implement governing equations for structural mechanics, ensuring thermodynamic consistency and physical accuracy across linear and non-linear regimes.
  • Numerical Architecture: Design the core numerical framework. You will determine the optimal discretization strategies (FEM, DG, IGA, etc.) to balance stability, accuracy, and computational cost.
  • Algorithmic Development: Specific language is secondary to code quality. You will write clean, modular, and efficient algorithms to solve large-scale systems of equations.
  • Physics-Driven Validation: Diagnose solver behavior not just as code execution, but as physical modeling. You must distinguish between numerical instability and physical phenomena.

Benefits
  • Collaborative Autonomy: We operate with high trust. You own your module, but you have immediate access to world-class experts in electromagnetics and fluid dynamics for cross-domain problems.
  • Continuous Learning: We host regular internal seminars where team members teach each other-from "Advanced Linear Algebra" to "GPU Memory Hierarchies."
  • Compensation: Competitive salary + meaningful equity in a fast-growing startup.
  • Well-being: Comprehensive Medical, Dental, and Vision insurance; 401(k); and a gym/fitness allowance.
  • Environment: A flat hierarchy where the "best idea wins," regardless of job title.

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