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Physics Informed Machine Learning Jobs in Fort Mill, SC

USAA

Data Scientist I

Charlotte, NC · On-site

Conducts advanced analytics leveraging predictive modeling, machine learning, simulation ... informed business decisions. May telecommute. Requirements: Will accept a Bachelor's degree in ...

Meltwater

Senior Product Manager

Charlotte, NC

$123K - $163K/yr

... machine learning models to ensure AI-driven capabilities are effectively integrated into the ... Our compensation approach is data-driven, market-informed, and built to scale with your growth. We ...

Truist

Decision Scientist III

Charlotte, NC · On-site

... informed, data-driven decisions with an objective of driving quantifiable, optimized business ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

Truist

Decision Science Lead

Charlotte, NC · On-site

... informed, data-driven decisions with an objective of driving quantifiable, optimized business ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

Truist

Decision Scientist II

Charlotte, NC · On-site

... informed, data-driven decisions with an objective of driving quantifiable, optimized business ... machine learning, in pursuit of business optimization and impact. 3. Pursue business outcomes ...

Truist

Decision Scientist III

Charlotte, NC

... informed, data-driven decisions with an objective of driving quantifiable, optimized business ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

Bank of America

Data Engineer - Python/AI

Charlotte, NC · On-site

$111K - $134K/yr

... informed decision making, identifying and raising risks at all stages of the data engineering ... machine learning models and Gen AI solutions using locally hosted LLMs in production environments

Truist

Decision Science Lead

Charlotte, NC · On-site

... informed, data-driven decisions with an objective of driving quantifiable, optimized business ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

Pwc

GenAI Python Systems Engineer-Director

Charlotte, NC · On-site

$155K - $410K/yr

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

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How much do physics informed machine learning jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for physics informed machine learning in Fort Mill, SC is $17.63, according to ZipRecruiter salary data. Most workers in this role earn between $10.96 and $22.40 per hour, depending on experience, location, and employer.

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 Fort Mill, SC? For Physics Informed Machine Learning jobs in Fort Mill, SC, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Fort Mill, SC look for? The top searched job categories for Physics Informed Machine Learning jobs in Fort Mill, SC are:
What cities near Fort Mill, SC are hiring for Physics Informed Machine Learning jobs? Cities near Fort Mill, SC with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Data Scientist I

Data Scientist I

USAA

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

USAA rating

8.3

Company rating: 8.3 out of 10

Based on 251 frontline employees who took The Breakroom Quiz

34th of 141 rated banks

Job description

Why USAA?
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
The Opportunity
Employer: United Services Automobile Association
Tasks: Partners with other analysts across the organization to fully define business problems and research questions. Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization. Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Works with IT to research architecture for new products, services, and features. Develops algorithms and supporting code such that research efforts are based on the highest quality data. Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. May telecommute.
Requirements: Will accept a Bachelor's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field and 4 years of experience in the job offered or in a related occupation. Alternatively, will accept a Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field and 1 year of experience in a related occupation. Position requires:
  • Quicksight and Python visualization libraries like Matplotlib, Seaborn, and iPython;
  • Domain knowledge and experience working with banking and related LOB's data, business processes and risk management;
  • Data Engineering and Architecture;
  • Cloud Computing and Architecture;
  • Redshift Cloud Data Warehouse;
  • AWS Glue, S3 and Lambda;
  • Git (CI/CD Automation);
  • PySpark;
  • Unix Shell Scripting;
  • BMC Control-M and Apache AirFlow;
  • ETL Tools (Data Stage and Informatica)
  • Agile Methodologies

Worksite: 200 West Blvd, Charlotte, NC 28203
Relocation assistance is Not Available for this position.
This position is eligible for the Employee Referral Program.
#DNP
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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