Research and implement novel machine learning approaches, including advancing state-of-the-art ... Physics, etc.) * 3+ years of experience in AI/ML algorithm development using core data science ...
Research and implement novel machine learning approaches, including advancing state-of-the-art ... Physics, etc.) * 3+ years of experience in AI/ML algorithm development using core data science ...
Work-Study/Student - Applied Engineering, Manufacturing Technology & Trades
Wausau, WI · On-site
$15/hr
Areas may include Auto Shop, Nano Lab, Physics/Electronics area, Electromechanical, Machine Shop ... Positions in this area will report to Learning Coordinator, Engineering & Advanced Manufacturing.
Work-Study/Student - Applied Engineering, Manufacturing Technology & Trades
Wausau, WI · On-site
$15/hr
Areas may include Auto Shop, Nano Lab, Physics/Electronics area, Electromechanical, Machine Shop ... Positions in this area will report to Learning Coordinator, Engineering & Advanced Manufacturing.
Controls Algorithm Engineer
La Crosse, WI · On-site
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. Applied Linear Algebra. Numerical Analysis. HVAC Fundamentals. Thermodynamics.
Controls Algorithm Engineer
La Crosse, WI · On-site
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. Applied Linear Algebra. Numerical Analysis. HVAC Fundamentals. Thermodynamics.
Controls Algorithm Engineer
La Crosse, WI · On-site
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. Applied Linear Algebra. Numerical Analysis. HVAC Fundamentals. Thermodynamics.
Controls Algorithm Engineer
La Crosse, WI · On-site
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. Applied Linear Algebra. Numerical Analysis. HVAC Fundamentals. Thermodynamics.
Controls Algorithm Engineer
La Crosse, WI · On-site
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. * Applied Linear Algebra. * Numerical Analysis. * HVAC Fundamentals.
Controls Algorithm Engineer
La Crosse, WI · On-site
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. * Applied Linear Algebra. * Numerical Analysis. * HVAC Fundamentals.
Controls Algorithm Engineer
La Crosse, WI · On-site
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. * Applied Linear Algebra. * Numerical Analysis. * HVAC Fundamentals.
Controls Algorithm Engineer
La Crosse, WI · On-site
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. * Applied Linear Algebra. * Numerical Analysis. * HVAC Fundamentals.
Controls Algorithm Engineer
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. Applied Linear Algebra. Numerical Analysis. HVAC Fundamentals. Thermodynamics.
Controls Algorithm Engineer
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. Applied Linear Algebra. Numerical Analysis. HVAC Fundamentals. Thermodynamics.
Controls Algorithm Engineer
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. Applied Linear Algebra. Numerical Analysis. HVAC Fundamentals. Thermodynamics.
Controls Algorithm Engineer
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. Applied Linear Algebra. Numerical Analysis. HVAC Fundamentals. Thermodynamics.
Controls Algorithm Engineer
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. * Applied Linear Algebra. * Numerical Analysis. * HVAC Fundamentals.
Controls Algorithm Engineer
$82K - $106K/yr
Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. * Applied Linear Algebra. * Numerical Analysis. * HVAC Fundamentals.
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 ...
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 ...
GenAI Python Systems Engineer-Manager
Milwaukee, WI · On-site
$99K - $232K/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 ...
GenAI Python Systems Engineer-Manager
Milwaukee, WI · On-site
$99K - $232K/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 ...
SENIOR SOFTWARE ENGINEER
Freedom, WI · On-site +1
$122K - $161K/yr
Sound judgment and the ability to make informed decisions while working independently and ... Knowledge of machine learning frameworks and natural language processing (NLP) tools. * Familiarity ...
SENIOR SOFTWARE ENGINEER
Freedom, WI · On-site +1
$122K - $161K/yr
Sound judgment and the ability to make informed decisions while working independently and ... Knowledge of machine learning frameworks and natural language processing (NLP) tools. * Familiarity ...
... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ... informed of progress. * Validate alternate components and embedded / power electronics circuit ...
... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ... informed of progress. * Validate alternate components and embedded / power electronics circuit ...
Apply data analysis techniques, including Matlab/Simulink or Python-based scripting, and machine learning to support predictive modeling and performance forecasting. * Stay informed on relevant ...
Apply data analysis techniques, including Matlab/Simulink or Python-based scripting, and machine learning to support predictive modeling and performance forecasting. * Stay informed on relevant ...
Apply data analysis techniques, including Matlab/Simulink or Python-based scripting, and machine learning to support predictive modeling and performance forecasting. * Stay informed on relevant ...
Apply data analysis techniques, including Matlab/Simulink or Python-based scripting, and machine learning to support predictive modeling and performance forecasting. * Stay informed on relevant ...
... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ... informed of progress. * Validate alternate components and embedded / power electronics circuit ...
... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ... informed of progress. * Validate alternate components and embedded / power electronics circuit ...
Sr. Data Analyst
$86K - $108K/yr
... informed decision-making across the institution. The Senior Data Analyst designs and develops ... Exposure to predictive analytics, AI, or machine learning concepts. Human Relations Skills: Ability ...
Sr. Data Analyst
$86K - $108K/yr
... informed decision-making across the institution. The Senior Data Analyst designs and develops ... Exposure to predictive analytics, AI, or machine learning concepts. Human Relations Skills: Ability ...
Applied AI Health Data System Engineer-Senior Manager
Milwaukee, WI · On-site
$112K - $135K/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 ...
Applied AI Health Data System Engineer-Senior Manager
Milwaukee, WI · On-site
$112K - $135K/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 ...
GenAI Python Systems Engineer -Senior Manager
Milwaukee, WI · On-site
$124K - $280K/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 ...
GenAI Python Systems Engineer -Senior Manager
Milwaukee, WI · On-site
$124K - $280K/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 ...
Sr. Data Analyst
Waukesha, WI · On-site
$86K - $108K/yr
... informed decision-making across the institution. The Senior Data Analyst designs and develops ... analytics, AI, or machine learning concepts. Human Relations Skills: • Ability to work ...
Sr. Data Analyst
Waukesha, WI · On-site
$86K - $108K/yr
... informed decision-making across the institution. The Senior Data Analyst designs and develops ... analytics, AI, or machine learning concepts. Human Relations Skills: • Ability to work ...
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.
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.
Recruiting for this role ends on 8/31/2026.
Work You'll Do
As a Senior Data Scientist at SFL Scientific, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.
Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:
- Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
- Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
- Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
- Validate AI models and algorithm via code reviews, unit, and integration tests
- Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
- Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications
Required:
- Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
- 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
- 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
- 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
- 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
- Live within commuting distance to one of Deloitte's consulting offices
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- 2+ years of experience working in a client-facing, consulting environment
- 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
- 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
- 1+ year of experience with AWS Sagemaker or AWS ML Studio
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.
Recruiting for this role ends on 8/31/2026.
Work You'll Do
As a Senior Data Scientist at SFL Scientific, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.
Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:
- Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
- Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
- Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
- Validate AI models and algorithm via code reviews, unit, and integration tests
- Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
- Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications
Required:
- Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
- 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
- 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
- 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
- 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
- Live within commuting distance to one of Deloitte's consulting offices
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- 2+ years of experience working in a client-facing, consulting environment
- 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
- 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
- 1+ year of experience with AWS Sagemaker or AWS ML Studio
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individu...