Develop and deploy machine learning models to optimize automation and generate data‑driven insights, including testing, refining, and monitoring AI‑driven systems in production.
Responsibilities
Develop machine learning models to enhance automation and insights
Test model performance and refine algorithms
Monitor AI‑driven systems in production environments
Operate independently across multiple work areas
Lead major technical assignments and supervise teams
Lead the design, development, and deployment of AI models and algorithms, collaborate with cross‑functional teams, analyze complex data sets, implement and optimize AI solutions, provide technical guidance and mentorship, and stay current with AI trends.
Responsibilities
Lead the design, development, and deployment of AI models and algorithms
Collaborate with cross‑functional teams to define project goals and requirements
Analyze complex data sets to identify trends and patterns using statistical and machine learning approaches
Implement and optimize AI solutions to improve data accuracy, efficiency, and predictive capabilities
Provide technical guidance and mentorship to junior data scientists
Support research focused on watershed hydrology, surface water systems, flooding, and water quality through development and application of advanced hydrologic and hydraulic models.
Responsibilities
Develop, implement, and apply surface water, watershed, and flood models for hydrologic, hydraulic, and water quality analyses.
Verify and validate hydrologic and hydraulic models using field observations, monitoring data, and historical flood events.
Simulate watershed processes, including rainfall-runoff transformation, streamflow routing, flood inundation, sediment transport, and pollutant fate and transport.
Evaluate the impacts of land use change, climate variability, and extreme weather events on flooding, watershed hydrology, water quantity, and water quality.
Support the development of computational tools and decision-support systems for flood forecasting, watershed planning, and water resources management.
Requirements
Master's degree in Civil Engineering, Environmental Engineering, Environmental Science, Atmospheric Science, Earth Science, Hydrology, Water Resources Engineering, or a closely related discipline
Nice to have: experience with CCHE numerical models
Nice to have: laboratory and/or field experimental studies related to hydrology, hydraulics, watersheds, flooding, or water quality
Nice to have: computer systems development
Nice to have: scientific software development
Postdoctoral Research Associate - National Center for Computational Hydroscience and Engineering (NCCHE)
University of Mississippi (Ole Miss) · Posted Jul 10, 2026
Conduct research and develop advanced numerical models to analyze watershed hydrology, surface water systems, flooding, and water quality.
Responsibilities
Develop, implement, and apply surface water, watershed, and flood models for hydrologic, hydraulic, and water quality analyses.
Verify and validate hydrologic and hydraulic models using field observations, monitoring data, and historical flood events.
Simulate watershed processes, including rainfall-runoff transformation, streamflow routing, flood inundation, sediment transport, and pollutant fate and transport.
Evaluate the impacts of land use change, climate variability, and extreme weather events on flooding, watershed hydrology, water quantity, and water quality.
Support the development of computational tools and decision-support systems for flood forecasting, watershed planning, and water resources management.
Requirements
Ph.D. in Civil/Environmental Engineering, Environmental Science, Atmospheric Science, Earth Science, or a closely related discipline
Develop and improve counterparty credit risk models, investigate derivatives pricing, source and analyse trade and market data, develop production implementations in Python, interpret regulatory requirements, write documentation and support validation and approval processes.
Responsibilities
Develop and improve counterparty credit risk models
Investigate derivatives pricing and exposure behaviour
Source, reconcile and analyse trade and market data
Develop production implementations in Python
Interpret relevant regulatory requirements
Requirements
Bachelor's or higher degree in mathematical finance, mathematics, statistics, physics, engineering or econometrics
Associate Engineer in the Transmission Planning Modeling team within National Grid’s Graduate Development Program, responsible for developing and maintaining power system models to evaluate grid reliability and plan future transmission investments across New England.
Compensation
Competitive salary ranging from $101,000 to $119,000, plus a comprehensive benefits package
Responsibilities
Develop and maintain transmission planning models used to evaluate system reliability and future grid needs
Update planning cases to reflect transmission projects, generation interconnections, load forecast changes, and system modifications
Perform model validation and quality assurance reviews to ensure planning data accurately represents the transmission system
Collaborate with engineering, operations, and asset management teams to gather, verify, and maintain system information
Support transmission planning studies, including power flow, short-circuit, and system performance analyses
Requirements
Bachelor's or Master's in Electrical Engineering
Nice to have: exposure to power system modeling or analysis software
Partner with business stakeholders to frame problems, define success metrics, and translate business needs into analytical and data science solutions.
Perform exploratory data analysis, statistical analysis, hypothesis testing, and experimentation to identify patterns, drivers, and opportunities.
Design, develop, evaluate, and refine machine learning and statistical models for use cases such as forecasting, classification, segmentation, and anomaly detection.
Apply appropriate validation methods; assess model performance and limitations; and communicate uncertainty, assumptions, and trade-offs.
Prepare, transform, and integrate structured, semi-structured, and unstructured data. Develop reusable features and analytical datasets using Python and SQL.
Requirements
Bachelor’s or master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
As a Data Scientist, you will work closely with clients and cross functional teams to define project scope, ensure technical feasibility, and drive delivery excellence.
Responsibilities
Mapping the end-to-end data science approach and designing the associated software architecture for projects
Driving the technical scoping and feasibility assessment of new projects
Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements
Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high-stakes decision-making
Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership)
Support classified Guidance and Control programs at JPL, developing algorithms, simulations, and flight software for spacecraft and payload guidance, navigation, and control.
Compensation
$118,248 - $144,144
Responsibilities
Develop algorithmic models, simulations, and analysis for GNC subsystems
Conceptualize, design, analyze, simulate, and evaluate advanced GNC subsystems and electro‑mechanical sensors
Design, develop, and deliver advanced algorithms and models with associated software code
Validate and tune models to ensure physical accuracy
Develop and execute detailed subsystem test and verification plans
Requirements
Bachelor’s degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Computer Engineering, or related technical field with minimum 3 years experience
Master’s degree with minimum 1 year experience
Nice to have: active TS/SCI clearance
Nice to have: experience in precision pointing systems
Nice to have: behavioral modeling of electromechanical systems
Research Associate - National Center for Computational Hydroscience and Engineering (NCCHE)NewUniversity of Mississippi (Ole Miss) · Oxford, US
Graduate Development Program, Associate Engineer, Transmission Planning ModelingNewNational Grid · Waltham, US
Data ScientistNewFaculty · Sydney