Job Search Results for machine learning
Aug 15, 2025
Saskatoon, SK
|
Data Warehousing
|
Contract
|
$36 - $45 (hourly estimate)
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Insight Global is looking for a Simulation and Modelling Specialist for a 12 month contract. A successful candidate must sit in Saskatoon and be able to go into the office 5 days a week.... Responsibilities include developing and implementing finite element simulation models for complex industrial systems, collaborating with cross-functional teams to translate operational challenges into computational experiments. Integrating simulation results with data analytics and machine learning to drive process optimization and predictive maintenance.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Jan 20, 2026
Newark, NJ
|
Software Engineering
|
Contract-to-perm
|
$64 - $80 (hourly estimate)
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Insight Global is hiring a highly skilled and experienced senior machine learning engineer for one of their largest clients in the financial industry. The ideal candidate will have extensive,... hands-on experience developing and deploying production-scale GenAI systems. They must have owned a GenAI project end-to-end, from initial development through production deployment, and bring a strong engineering background with the ability to scale, optimize, and deploy AI models in real-world environments. The candidate should have strong AWS experience as well as advanced Python skills.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Feb 25, 2026
Oakland, CA
|
Project Manager
|
Contract
|
$64 - $80 (hourly estimate)
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This role sits at the intersection of utility operations, data science, machine learning, and stakeholder engagement, with a strong emphasis on translating complex technical and regulatory requirements into actionable product and delivery plans.The ideal candidate brings hands-on experience with data intensive or algorithm based products, is comfortable working with machine learning models, and can effectively educate non-technical stakeholders on model behavior, limitations, and outputs. Experience in the utility industry, particularly related to electric system failures or wildfire risk, is highly desirable.________________________________________Key ResponsibilitiesProduct \u0026 Model Management?Support the development and evolution of risk models and other data driven products used by the business?Own and contribute to model development roadmaps and longer term product strategy?Partner closely with model developers and data scientists to prioritize work and sequence deliveryAgile \u0026 Delivery Leadership?Act as Scrum Master and/or Agile Product Lead, including: oRunning daily standupsoFacilitating sprint planning, reviews, and retrospectives?Organize and lead technical working sessions, ensuring: oClear documentation of decisionsoAction items are tracked and closed?Break down work into well structured Jira Epics and StoriesRequirements Translation?Translate business problems into clear, actionable technical requirements?Translate regulatory requirements into technical specifications and backlog items?Maintain high quality documentation in Confluence to support transparency and traceabilityStakeholder Engagement?Serve as a primary point of contact between technical teams and business stakeholders?Manage incoming requests, scope discussions, and prioritization conversations?Educate stakeholders on: oModel assumptionsoData limitationsoTechnical tradeoffs and impacts on timelines________________________________________We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Specialist II","City":"Oakland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Required Qualifications \u0026 Experience?Experience as a Product Manager, Technical Project Manager, or hybrid role?Strong technical foundation, with experience in one or more of the following: oData scienceoMachine learning or algorithm based productsoEngineering or scientific domains?Experience working with Agile / Scrum, including Scrum Master responsibilities?Proven ability to translate complex technical concepts for non technical audiences?Experience working in regulated environments or with regulatory requirements________________________________________Highly Desired / Ideal Background?Knowledge of utility electric system failures?Familiarity with wildfire risk, mitigation, or utility operations?Experience supporting machine learning models or data intensive platforms?Advanced degree (MS or PhD) in: oEngineeringoScienceoPhysics(strongly preferred but not required)________________________________________Tools \u0026 Technologies?Required:oJiraoConfluence?Nice to Have:oAWSoPalantir FoundryoFamiliarity with MLOps and the data science lifecycle","Skills":"","Industry":"Project Manager","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":80.0000,"SalaryLow":64.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
Joining the Wildfire Risk RADA team Pay rate 70-85/hr W21 year contract plus extensionsOne day at OGO per monthTechnical Product Manager / Technical Project ManagerEngagement Overview?Duration: 12... months, with potential to extend?Start: ASAP?Location: Primarily remote; onsite once per month at the Oakland office?Level: Relevant experience and domain expertise prioritized over tenure________________________________________Role SummaryWe are seeking a Technical Product Manager / Project Manager to support the Wildfire Risk RADA team made up of risk model developers and data scientists. This role sits at the intersection of utility operations, data science, machine learning, and stakeholder engagement, with a strong emphasis on translating complex technical and regulatory requirements into actionable product and delivery plans.The ideal candidate brings hands-on experience with data intensive or algorithm based products, is comfortable working with machine learning models, and can effectively educate non-technical stakeholders on model behavior, limitations, and outputs. Experience in the utility industry, particularly related to electric system failures or wildfire risk, is highly desirable.________________________________________Key ResponsibilitiesProduct & Model Management?Support the development and evolution of risk models and other data driven products used by the business?Own and contribute to model development roadmaps and longer term product strategy?Partner closely with model developers and data scientists to prioritize work and sequence deliveryAgile & Delivery Leadership?Act as Scrum Master and/or Agile Product Lead, including: oRunning daily standupsoFacilitating sprint planning, reviews, and retrospectives?Organize and lead technical working sessions, ensuring: oClear documentation of decisionsoAction items are tracked and closed?Break down work into well structured Jira Epics and StoriesRequirements Translation?Translate business problems into clear, actionable technical requirements?Translate regulatory requirements into technical specifications and backlog items?Maintain high quality documentation in Confluence to support transparency and traceabilityStakeholder Engagement?Serve as a primary point of contact between technical teams and business stakeholders?Manage incoming requests, scope discussions, and prioritization conversations?Educate stakeholders on: oModel assumptionsoData limitationsoTechnical tradeoffs and impacts on timelines________________________________________We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Mar 02, 2026
Bellevue, WA
|
Data Warehousing
|
Contract
|
$37 - $46 (hourly estimate)
{"JobID":501177,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.21,"Longitude":47.61,"Distance":null},"State":"Washington","Zip":"98004","ReferenceID":"SEA-69e3ad04-f964-424c-8417-3c8a065867c2","PostedDate":"\/Date(1772472607000)\/","Description":"A well-known utilities company in King County is looking to bring on two Data Scientist to their evolving team! The Data Scientists will be working on machine learning and statistical inference analytics around electric power systems, including forecasting of demand, wind and solar generation, wholesale energy prices, hydroelectric operations, and so on. This will involve the use of data from national weather model outputs and electric power system operations. The Commercial Analytics team mostly works in Python, so previously familiarity is required. If this sounds like a for for you, please apply at Insight Global today!We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Bellevue","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- 1?3 years of experience in a data science or analytics role working with complex datasets- Hands-on experience with data mining and machine learning techniques (e.g., clustering, regression, decision trees, SVMs)- Proficiency in building and evaluating statistical models to support IT and business decisions- Strong analytical, written, and verbal communication skills with the ability to translate insights into action- Experience working in collaborative, team-based environments while following data privacy, security, and industry guidelines","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"AF\u0026E","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":46.0000,"SalaryLow":36.8000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
A well-known utilities company in King County is looking to bring on two Data Scientist to their evolving team! The Data Scientists will be working on machine learning and statistical inference... analytics around electric power systems, including forecasting of demand, wind and solar generation, wholesale energy prices, hydroelectric operations, and so on. This will involve the use of data from national weather model outputs and electric power system operations. The Commercial Analytics team mostly works in Python, so previously familiarity is required. If this sounds like a for for you, please apply at Insight Global today!We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Jan 22, 2026
Redmond, WA
|
Mechanical Engineering
|
Contract
|
$54 - $68 (hourly estimate)
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Develop advanced constitutive models for complex materials used in display systems (including metals, polymers, adhesives, and brittle materials) to accurately capture nonlinearities, creep, and fracture mechanics under dynamic loading.? Perform Bayesian statistical inference and uncertainty quantification to correlate simulation results with noisy experimental metrology data, bridging the gap between theoretical models and physical test results.? Collaborate with design engineers to connect system PD and module designs with total stack tolerance analysis, ensuring that ML-driven predictions align with physical fit studies and manufacturing capabilities.? Drive failure analysis activities by simulating damage evolution and crack propagation in quasi-brittle materials, supporting product scalability and reliability teams.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Display System Optical Mechanical Engineer","City":"Redmond","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Requirements:? Ph.D. or Master?s degree in Mechanical Engineering, Materials Science, Computational Mechanics, or a related field.? Extensive experience in Finite Element Analysis (FEA) and solid mechanics, with deep expertise in nonlinear dynamics, large deformation, and contact mechanics using tools like Abaqus or ANSYS.? Proven expertise in developing and applying Machine Learning (ML) models to mechanics problems, including experience with PyTorch, scikit-learn, and building neural network surrogate models for simulation.? Proficiency in programming languages including Python, cplusplus, Fortran, and MATLAB, specifically for writing user subroutines (e.g., VUMAT/UMAT) and integrating ML inference into FEA workflows.? Experience with reduced-order modeling, operator learning, or LSTM/RNN architectures for analyzing history-dependent data and spatial-temporal fields.? Working knowledge of material behaviors including plasticity, creep, and fracture mechanics for ductile and brittle materials.? Ability to apply analytical and problem-solving skills to analyze complex opto-mechanical systems and identify innovative solutions for reduced-degree performance prediction.? Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams to translate complex simulation results into actionable design guidance.","Skills":"","Industry":"Mechanical Engineering","Country":"US","Division":"AF\u0026E","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":68.0000,"SalaryLow":54.4000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
? Develop and implement reduced-degree mechanical performance prediction models by combining FEA with machine learning techniques, leveraging historical datasets from previous glasses products to... predict failure modes and structural instability.? Design and deploy neural network surrogate models (e.g., using PyTorch) integrated directly into FEA solvers (such as Abaqus subroutines) to simulate history-dependent material behaviors and multiscale structural responses efficiently.? Guide the FEA team for mechanical simulation, structural risk assessment, and design optimization of the display system, specifically applying iterative operator learning to improve out-of-distribution data transferability for new form factors.? Develop advanced constitutive models for complex materials used in display systems (including metals, polymers, adhesives, and brittle materials) to accurately capture nonlinearities, creep, and fracture mechanics under dynamic loading.? Perform Bayesian statistical inference and uncertainty quantification to correlate simulation results with noisy experimental metrology data, bridging the gap between theoretical models and physical test results.? Collaborate with design engineers to connect system PD and module designs with total stack tolerance analysis, ensuring that ML-driven predictions align with physical fit studies and manufacturing capabilities.? Drive failure analysis activities by simulating damage evolution and crack propagation in quasi-brittle materials, supporting product scalability and reliability teams.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Jan 22, 2026
Portland, OR
|
Data Warehousing
|
Contract-to-perm
|
$40 - $50 (hourly estimate)
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JDevelop, deploy, and maintain scalable machine learning models and analytical workflows using Databricks, Apache Spark, and cloud-based data platforms.Partner with financial domain stakeholders to... understand business challenges related to risk, compliance, fraud, lending, investments, and customer analytics.Perform hands-on data exploration, feature engineering, statistical analysis, and modeling using Python, SQL, and Spark.Collaborate with data engineering teams to build reliable data pipelines and ensure high-quality, production-ready datasets.Communicate complex technical findings to non-technical audiences; present actionable insights to business leaders.Apply deep financial services expertise to ensure models meet regulatory expectations (e.g., model documentation, audit, transparency, fairness).Optimize workflows for performance and cost efficiency within Databricks and cloud environments.Design experiments and evaluate model performance using best practices in ML Ops, version control, and reproducibility.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Jan 05, 2026
Mclean, VA
|
Computer Engineering
|
Contract-to-perm
|
$91 - $114 (hourly estimate)
{"JobID":478363,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-77.19,"Longitude":38.94,"Distance":null},"State":"Virginia","Zip":"22101","ReferenceID":"DC0-473fce2e-0434-415d-b868-d598cc838063","PostedDate":"\/Date(1767624016000)\/","Description":"We are seeking a Geospatial Data Scientist with strong machine learning and data engineering skills to transform massive geospatial datasets into actionable insights. You will design and implement advanced algorithms for image analysis, spatial modeling, and predictive analytics to support mission critical decision making. This role combines deep technical expertise with creativity in applying AI/ML to geospatial intelligence challenges.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist - TSSCI w/ Poly","City":"Mclean","ExpirationDate":null,"PriorityOrder":0,"Requirements":"What You?ll Do?Analyze large scale geospatial datasets and imagery to extract patterns, trends, and quantifiable insights.?Write efficient, production ready code in Python, JavaScript, and auxiliary languages for data pipelines and visualization.?Apply advanced statistical and machine learning techniques (e.g., PCA, clustering, regression, NLP) to spatial and non spatial data.?Build predictive models and decision support tools for operational and strategic use cases.?Develop and optimize deep learning pipelines for image classification, object detection, and feature extraction using CNNs, RNNs, and Transformers.?Implement cutting edge workflows for automated data collection, preprocessing, and analysis.?Leverage frameworks such as PyTorch, TensorFlow, and Scikit learn for scalable ML solutions.?Utilize geospatial libraries (GDAL, Shapely, GeoPandas, Rasterio) to process raster and vector data.","Skills":"","Industry":"Computer Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":114.0000,"SalaryLow":91.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
We are seeking a Geospatial Data Scientist with strong machine learning and data engineering skills to transform massive geospatial datasets into actionable insights. You will design and implement... advanced algorithms for image analysis, spatial modeling, and predictive analytics to support mission critical decision making. This role combines deep technical expertise with creativity in applying AI/ML to geospatial intelligence challenges.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Feb 17, 2026
Newark, NJ
|
Software Engineering
|
Contract-to-perm
|
$43 - $54 (hourly estimate)
{"JobID":495959,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-74.1735,"Longitude":40.7334,"Distance":null},"State":"New Jersey","Zip":"07102","ReferenceID":"NNJ-be406751-264b-4280-bdbe-73d6ed0b706c","PostedDate":"\/Date(1771365262000)\/","Description":"We are seeking an experienced Data Scientist to join our Life Insurance Underwriting team. This role will support large-scale underwriting initiatives focused on mortality risk modeling and premium determination. The ideal candidate brings strong traditional data science experience, a solid foundation in statistical and machine learning techniques, and the ability to work independently in a production, business-facing environment.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Newark","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Technical SkillsStrong experience in traditional data science and machine learningProficiency in Python and SQLHands-on experience with:Regression modelsRandom ForestGradient boosting methods (e.g., XGBoost)Experience working in a Git/GitHub-based development environmentFamiliarity with standard data science workflows and best practicesEducation \u0026 ExperienceMaster?s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (preferred)PhD is a plus but not requiredEquivalent professional experience in lieu of advanced degree may be considered3+ years of applied industry experience in data science or analytics rolesCore CompetenciesSelf-motivated, proactive, and able to work with minimal supervisionStrong analytical and problem-solving skillsComfortable working in a regulated, data-sensitive environmentEffective communicator with both technical and non-technical stakeholders","Skills":"Experience in insurance, life insurance underwriting, healthcare, or health data analyticsExposure to actuarial concepts or risk modelingLimited exposure to AI / GenAI tools (expected usage ~10?15%, not a core requirement)","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":54.0000,"SalaryLow":43.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
We are seeking an experienced Data Scientist to join our Life Insurance Underwriting team. This role will support large-scale underwriting initiatives focused on mortality risk modeling and premium... determination. The ideal candidate brings strong traditional data science experience, a solid foundation in statistical and machine learning techniques, and the ability to work independently in a production, business-facing environment.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Feb 20, 2026
Dublin, CA
|
Project Manager
|
Contract
|
$62 - $77 (hourly estimate)
{"JobID":497521,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-121.91,"Longitude":37.71,"Distance":null},"State":"California","Zip":"94568","ReferenceID":"SFR-890781b9-7c8e-427f-ab47-b2c347fb533f","PostedDate":"\/Date(1771602839000)\/","Description":"Plan and oversee the timeline and resource allocation for technical projects across various functions including matchmaking, anti-fraud, and recommender algorithms.?Track the progress and adherence to delivery timelines of the projects, identifying any deviations or risks.?Proactively address potential risks to project success, coordinating with technical leads and individual contributors to mitigate these risks.?Facilitate resource allocation for machine learning scientists and engineers across multiple projects.?Enhance collaboration across teams, including partner teams and stakeholders on cross-functional projects.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"AI TPM","City":"Dublin","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Bachelor\u0027s degree in computer science, engineering, or related field8+ Years of experience as TPM ? leading cross functional teamsStrong Experience with program management3-4 years of experience with data science / machine learningExperience with JiraStrong communication skills ? Proficient EnglishAbility to take lead and drive initiatives.","Skills":"","Industry":"Project Manager","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":77.0000,"SalaryLow":61.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
Plan and oversee the timeline and resource allocation for technical projects across various functions including matchmaking, anti-fraud, and recommender algorithms.?Track the progress and adherence... to delivery timelines of the projects, identifying any deviations or risks.?Proactively address potential risks to project success, coordinating with technical leads and individual contributors to mitigate these risks.?Facilitate resource allocation for machine learning scientists and engineers across multiple projects.?Enhance collaboration across teams, including partner teams and stakeholders on cross-functional projects.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Feb 27, 2026
Niskayuna, NY
|
Computer Engineering
|
Contract
|
$68 - $85 (hourly estimate)
{"JobID":500520,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-73.92,"Longitude":42.8,"Distance":null},"State":"New York","Zip":"12309","ReferenceID":"RIC-68e86c93-c181-48d5-867d-920641406bf5","PostedDate":"\/Date(1772207482000)\/","Description":"We are seeking a highly experienced HPC \u0026 MLaaS Containerization Engineer to architect, deploy, and optimize containerized workloads across high-performance computing (HPC) and Machine Learning as a Service (MLaaS) environments.This role requires deep expertise in container orchestration, GPU-aware scheduling, HPC workload management, and enterprise-grade automation. The ideal candidate understands the intersection of traditional HPC schedulers (e.g., PBS) with modern container platforms (Docker/Mirantis Kubernetes Engine) and can operationalize scalable, secure, high-throughput compute environments.This role requires deep expertise in container orchestration, GPU-aware scheduling, HPC workload management, and enterprise-grade automation. The ideal candidate understands the intersection of traditional HPC schedulers (e.g., PBS) with modern container platforms (Docker/Mirantis Kubernetes Engine) and can operationalize scalable, secure, high-throughput compute environments.This role requires deep expertise in container orchestration, GPU-aware scheduling, HPC workload management, and enterprise-grade automation. The ideal candidate understands the intersection of traditional HPC schedulers (e.g., PBS) with modern container platforms (Docker/Mirantis Kubernetes Engine) and can operationalize scalable, secure, high-throughput compute environments.This role requires deep expertise in container orchestration, GPU-aware scheduling, HPC workload management, and enterprise-grade automation. The ideal candidate understands the intersection of traditional HPC schedulers (e.g., PBS) with modern container platforms (Docker/Mirantis Kubernetes Engine) and can operationalize scalable, secure, high-throughput compute environments.Pay rate: 50 - 75/hr based on experienceWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"HPC \u0026 MLaaS Containerization Engineer","City":"Niskayuna","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Familiarity with Slurm in addition to PBS (conceptual or operational).Experience with VMware / vSphere, particularly in environments where virtualization supports HPC or ML workflows.Exposure to secure container registries (e.g., Docker registries with access controls, scanning, and promotion workflows).Experience supporting or building MLaaS (Machine Learning as a Service) platforms or self-service research environments.Prior work in highly customized, institutionalized systems with significant in-house tooling.Experience patching and maintaining underlying host systems supporting container platforms.Ability to design or advocate for dedicated research environments to improve user productivity.Experience working in organizations without formal architects or data scientists, helping mature platforms organically.Familiarity with documentation standards and platform enablement for research or engineering users.","Skills":"Located in/around Niskayuna, NY","Industry":"Computer Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":85.0000,"SalaryLow":68.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
We are seeking a highly experienced HPC & MLaaS Containerization Engineer to architect, deploy, and optimize containerized workloads across high-performance computing (HPC) and Machine Learning as a... Service (MLaaS) environments.This role requires deep expertise in container orchestration, GPU-aware scheduling, HPC workload management, and enterprise-grade automation. The ideal candidate understands the intersection of traditional HPC schedulers (e.g., PBS) with modern container platforms (Docker/Mirantis Kubernetes Engine) and can operationalize scalable, secure, high-throughput compute environments.This role requires deep expertise in container orchestration, GPU-aware scheduling, HPC workload management, and enterprise-grade automation. The ideal candidate understands the intersection of traditional HPC schedulers (e.g., PBS) with modern container platforms (Docker/Mirantis Kubernetes Engine) and can operationalize scalable, secure, high-throughput compute environments.This role requires deep expertise in container orchestration, GPU-aware scheduling, HPC workload management, and enterprise-grade automation. The ideal candidate understands the intersection of traditional HPC schedulers (e.g., PBS) with modern container platforms (Docker/Mirantis Kubernetes Engine) and can operationalize scalable, secure, high-throughput compute environments.This role requires deep expertise in container orchestration, GPU-aware scheduling, HPC workload management, and enterprise-grade automation. The ideal candidate understands the intersection of traditional HPC schedulers (e.g., PBS) with modern container platforms (Docker/Mirantis Kubernetes Engine) and can operationalize scalable, secure, high-throughput compute environments.Pay rate: 50 - 75/hr based on experienceWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.