through rigorous analysis - advancing solutions in societally relevant domains. About our group Prof. Dr. Alena Otto holds the Professorship in Advanced Analytics in Manufacturing Management in the Department of Operations & Technology and Heilbronn Data Science Center at the Technical University of Munich, Germany. Prof. Otto is ranked among the top 60 researchers under 40 in Business Administration with the … strongest publication record, according to forschungsmonitoring.org (2022). She has received several prestigious scientific and industry awards, including the Dissertation Award of the OperationsResearch Society (GOR e.V.), the OptWare Award of the "Initiative Wissenschaft und Automobilindustrie," and the "Commended Paper Award" of the IFAC MIM conference. Prof. Otto actively engages in academic governance, serving as an … approaches). Additionally, you will be involved and collect experience in supervision of PhD students, teaching, and further academic and administrative affairs of our professorship. Your profile PhD in OperationsResearch, Data Science, Applied Mathematics, or a related field Proven publication track in highly-ranked relevant scientific journals and conference proceedings Completed Master's degree in Mathematics More ❯
united kingdom, united kingdom Hybrid/Remote Options
Synchrony
Job Description: Role Summary/Purpose: The SVP, Model Operations & Analytics Leader leads a multidisciplinary team supporting the full model development lifecycle, from data readiness to post-implementation monitoring. This role drives the creation of standardized frameworks, tools, and automation — including developing data pipelines, managing enterprise end-to-end data warehouse, performing preventative and detective data analysis and monitoring … to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events. Essential Responsibilities: Provide strategic leadership for the Model Operations & Analytics function, ensuring seamless operational support across the entire model development lifecycle. Build and lead a multidisciplinary team—including data product owners, data & performance analysts, program managers, and documentation … and compliant support for model build, refresh, implementation, and ongoing performance evaluation, including data testing, evaluation. Collaborate closely with Model Risk Management and Internal Audit to ensure all model operations align with regulatory and governance expectations. Define and lead execution of strategic initiatives to enhance operational efficiency, reduce model development cycle time, and improve scalability of model development and More ❯
london, south east england, united kingdom Hybrid/Remote Options
JPMorganChase
natural language processing, large language models, speech recognition and understanding, reinforcement learning, and recommendation systems. You will collaborate closely with MLCOE mentors, business experts, and technologists, conducting independent research and deploying solutions into production. A strong passion for machine learning, solid expertise in deep learning with hands-on implementation experience, and a commitment to continuous learning and innovation … with our senior leaders and more. Your project will have direct impact on JPMorgan's businesses, will be integrated into our product pipelines, or be part of published research in top AI/ML conferences. Full-time employment offers may be extended upon successful completion of the program within our hybrid work model. Job responsibilities Research … and Business Management to deploy solutions into production Required qualifications, capabilities, and skills Enrolled in a PhD or MS in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, OperationsResearch, Optimization, Data Science, or related fields, or equivalent researchor industry experience, Expected graduation date of December 2026 through August 2027 Solid background in More ❯
broad range of experience Systems Engineering disciplines including, Experienced and Lead Levels: Systems Architecture & Definition Systems Integration, Verification, & Validation Systems Engineering Measurement & Controls Reliability, Maintainability, & System Health Flight Crew Operations Integrations Human Factors & Ergonomics Operations/Systems Analysis Customer Engineering Crew Station Design & Integration Position Responsibilities: Lead the systems engineering efforts for capacity expansion programs, ensuring alignment with … design, test, software, technology, avionics). Knowledge of the interaction between departments/disciplines and how their products/processes affect one another and impact non-engineering processes (e.g., Operations, Logistics, Business) Knowledge and understanding of the methodology and processes associated with risk management, conducting trade studies including cost as an independent variable (CAIV) trades Advanced knowledge of modeling … techniques (e.g., mathematical modeling, simulation, design of experiments, operationsresearch) to analyze a system Advanced knowledge of design concepts and techniques (e.g., concurrent engineering, Design for Manufacture/Assembly DFM/A ) Typical Education/Experience: Experienced, Level 3 Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering More ❯
broad range of experience Systems Engineering disciplines including, Experienced and Lead Levels: Systems Architecture & Definition Systems Integration, Verification, & Validation Systems Engineering Measurement & Controls Reliability, Maintainability, & System Health Flight Crew Operations Integrations Human Factors & Ergonomics Operations/Systems Analysis Customer Engineering Crew Station Design & Integration Position Responsibilities: Lead the systems engineering efforts for capacity expansion programs, ensuring alignment with … design, test, software, technology, avionics). Knowledge of the interaction between departments/disciplines and how their products/processes affect one another and impact non-engineering processes (e.g., Operations, Logistics, Business) Knowledge and understanding of the methodology and processes associated with risk management, conducting trade studies including cost as an independent variable (CAIV) trades Advanced knowledge of modeling … techniques (e.g., mathematical modeling, simulation, design of experiments, operationsresearch) to analyze a system Advanced knowledge of design concepts and techniques (e.g., concurrent engineering, Design for Manufacture/Assembly DFM/A ) Typical Education/Experience: Experienced, Level 3 Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering More ❯
broad range of experience Systems Engineering disciplines including, Experienced and Lead Levels: Systems Architecture & Definition Systems Integration, Verification, & Validation Systems Engineering Measurement & Controls Reliability, Maintainability, & System Health Flight Crew Operations Integrations Human Factors & Ergonomics Operations/Systems Analysis Customer Engineering Crew Station Design & Integration Position Responsibilities: Lead the systems engineering efforts for capacity expansion programs, ensuring alignment with … design, test, software, technology, avionics). Knowledge of the interaction between departments/disciplines and how their products/processes affect one another and impact non-engineering processes (e.g., Operations, Logistics, Business) Knowledge and understanding of the methodology and processes associated with risk management, conducting trade studies including cost as an independent variable (CAIV) trades Advanced knowledge of modeling … techniques (e.g., mathematical modeling, simulation, design of experiments, operationsresearch) to analyze a system Advanced knowledge of design concepts and techniques (e.g., concurrent engineering, Design for Manufacture/Assembly DFM/A ) Typical Education/Experience: Experienced, Level 3 Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering More ❯
by contributing to and delivering thought leadership projects Collaborating with cross-functional HEOR teams to generate internal IP – by creating re-usable assets and infrastructure Collaborate with operationalresearch group colleagues to develop HEOR coding best practices Support the development and implementation of solutions to optimise internal processes and productivity e.g. via internal web apps/tools Requirements More ❯
the online shopping experience seamless and accessible to everyone. THE TEAM • ~90 people, more than half in engineering, product and data • 45+ advanced degrees across computer science, mathematics and operationsresearch • Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle • An intellectually vibrant culture of first‐principles thinking, tight feedback loops … productive team members. Automate and streamline communications, FAQs, and training flows to reduce manual intervention while maximising engagement and understanding. Proactively communicate updates, risks, and recommendations to stakeholders across operations, product, and leadership. Lead or contribute to initiatives that improve funnel conversion, reduce contact volumes, and support supply ramp-ups (e.g., ensuring van couriers are trained for a new More ❯
and management tools (e.g. Kubernetes, Docker) Experience with CI/CD pipelines for containerized applications. Experience with Ansible. Education: BS in a technical field (Computer Science, Data Science, orOperationsResearch preferred) Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate’s experience, education, training, security clearance, work More ❯
and management tools (e.g. Kubernetes, Docker) Experience with CI/CD pipelines for containerized applications. Experience with Ansible. Education: BS in a technical field (Computer Science, Data Science, orOperationsResearch preferred) Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate’s experience, education, training, security clearance, work More ❯
and management tools (e.g. Kubernetes, Docker) Experience with CI/CD pipelines for containerized applications. Experience with Ansible. Education: BS in a technical field (Computer Science, Data Science, orOperationsResearch preferred) Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate’s experience, education, training, security clearance, work More ❯
and management tools (e.g. Kubernetes, Docker) Experience with CI/CD pipelines for containerized applications. Experience with Ansible. Education: BS in a technical field (Computer Science, Data Science, orOperationsResearch preferred) Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate’s experience, education, training, security clearance, work More ❯
and management tools (e.g. Kubernetes, Docker) Experience with CI/CD pipelines for containerized applications. Experience with Ansible. Education: BS in a technical field (Computer Science, Data Science, orOperationsResearch preferred) Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate’s experience, education, training, security clearance, work More ❯
and management tools (e.g. Kubernetes, Docker) Experience with CI/CD pipelines for containerized applications. Experience with Ansible. Education: BS in a technical field (Computer Science, Data Science, orOperationsResearch preferred) Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate’s experience, education, training, security clearance, work More ❯
and management tools (e.g. Kubernetes, Docker) Experience with CI/CD pipelines for containerized applications. Experience with Ansible. Education: BS in a technical field (Computer Science, Data Science, orOperationsResearch preferred) Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate’s experience, education, training, security clearance, work More ❯
and management tools (e.g. Kubernetes, Docker) Experience with CI/CD pipelines for containerized applications. Experience with Ansible. Education: BS in a technical field (Computer Science, Data Science, orOperationsResearch preferred) Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate’s experience, education, training, security clearance, work More ❯
and management tools (e.g. Kubernetes, Docker) Experience with CI/CD pipelines for containerized applications. Experience with Ansible. Education: BS in a technical field (Computer Science, Data Science, orOperationsResearch preferred) Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate’s experience, education, training, security clearance, work More ❯
and management tools (e.g. Kubernetes, Docker) Experience with CI/CD pipelines for containerized applications. Experience with Ansible. Education: BS in a technical field (Computer Science, Data Science, orOperationsResearch preferred) Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate’s experience, education, training, security clearance, work More ❯
and management tools (e.g. Kubernetes, Docker) Experience with CI/CD pipelines for containerized applications. Experience with Ansible. Education: BS in a technical field (Computer Science, Data Science, orOperationsResearch preferred) Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate’s experience, education, training, security clearance, work More ❯
their potential Working collaboratively to ensure our healthcare workforce has the right knowledge, skills, values and behaviours to deliver accessible, compassionate care Optimising the use of digital technology, research, and innovation Delivering value for money Earlier this year, the Government announced that NHS England will gradually merge with the Department of Health and Social Care, leading to full … in relevant subject or equivalent level qualification or significant experience of working at a similar level in specialist area Desirable Educated to degree level in economics, statistics, operationalresearchor related subject. Post-graduate degree in Management Studies or equivalent Knowledge and experience Essential Extensive knowledge of specialist areas, acquired through post-graduate diploma or equivalent experience orMore ❯
Stevenage, Hertfordshire, South East, United Kingdom Hybrid/Remote Options
MBDA
phases of the product lifecycle, and achieve a smooth transition into the Programme Directorate. We also create and develop opportunities to acquire contracts for advanced concept studies and research and technology activities. As a result, as an undergraduate in Future Systems you'll operate as cross-functional support across the wider department. This will enable undergraduates to work … written and verbal communication. What we're looking for from you Currently studying towards a degree in a Maths, Physics, Astronomy, Systems or Software Engineering, Computational Studies, OperationalResearch, Economics, Statistics discipline. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given. MBDA is a leading defence organisation. We are proud More ❯