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Physics Informed Machine Learning Jobs in Connecticut

The Whiteside Agency

Senior Data Engineer

Hartford, CT

$139K - $230K/yr

... Machine Learning, and AI initiatives across Travelers. As a Senior Engineer, you serve as a ... informed feedback loops to ensure the quality and production readiness of work before release ...

Pwc

US Tech - AI Engineering Manager

Hartford, CT · On-site

$73K - $244K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Pwc

US Tech - AI Engineering Manager

Stamford, CT · On-site

$73K - $244K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

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Physics Informed Machine Learning information

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are popular job titles related to Physics Informed Machine Learning jobs in Connecticut? For Physics Informed Machine Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Connecticut look for? The top searched job categories for Physics Informed Machine Learning jobs in Connecticut are:
What cities in Connecticut are hiring for Physics Informed Machine Learning jobs? Cities in Connecticut with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Connecticut as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Senior Data Engineer

The Whiteside Agency

Hartford, CT

$139K - $230K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago

Job description

Who Are We?

Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Job Category
Data Analytics, Data Science, TechnologyCompensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range$139,400.00 - $230,000.00
Target Openings
1
What Is the Opportunity?
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
The Senior Data Engineer is a core contributor within the Travelers Data Engineering Chapter, operating across the DAVS BI domain. In this role, you will lead the design, development, and operationalization of enterprise-grade data pipelines that transform raw insurance and operational data into high-quality, analytics-ready assets, powering BI, Machine Learning, and AI initiatives across Travelers.
As a Senior Engineer, you serve as a technical anchor within your engineering circle: mentoring peers, driving SDLC+ and engineering standards adoption, and partnering with business and data stakeholders to translate requirements into scalable, maintainable data solutions.What Will You Do?
  • Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
  • Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.
  • Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
  • Incorporate core data management competencies including data governance, data security and data quality.
  • Act as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products/analytic environment.
  • Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.
  • Collaborate across team to support delivery and educate end users on complex data products/analytic environment.
  • Perform other duties as assigned.
What Will Our Ideal Candidate Have?
  • Bachelor's Degree in STEM related field or equivalent.
  • Ten years of related experience.
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field
  • Experience with insurance domain data (policy, claims, underwriting, billing)
  • Knowledge of data governance frameworks and regulatory compliance (GDPR, CCPA, SOX)
  • Cloud certifications: AWS Certified Data Analytics, Azure Data Engineer, or GCP Professional Data Engineer
  • Experience with streaming data platforms (Kafka, Kinesis, Event Hubs)
  • Familiarity with data quality tools (Great Expectations, Deequ, Monte Carlo)
  • Contributions to open-source projects or technical community involvement
  • Experience with Agile/Scrum methodologies
  • Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
  • Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems.
  • Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers.
  • Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize.
  • Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas.
  • Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.
What is a Must Have?
  • Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or work experience.
  • 6 additional years of data engineering experience.
What Is in It for You?
  • Health Insurance:Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment.
  • Retirement:Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
  • Paid Time Off:Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
  • Wellness Program:The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
  • Volunteer Encouragement:We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.

If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.

Travelers reserves the right to fill this position at a level above or below the level included in this posting.

To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.

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