26 to 50 of 101 Permanent Operations Research Jobs

Team Leader - Process Automation, Quality & Data Operations - Sustainable Finance Data Location London Business Area Data Ref # 10051529 Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around … automation, ensuring we deliver high-quality AI-ready data at scale. In this role you will partner closely with Product, Engineering, and internal Operations to re-design workflows, embed automation, and reduce manual effort. You will also build and manage a high-performing vendor portfolio with clear SLAs, robust ...

tweak them or derive from them to achieve similar results at large-scale. Some traveling is expected. Responsibilities: Lead the research, design, implementation, and deployment of machine learning algorithms, intelligent agents, and optimisation solutions for enterprise applicationsleveragingthe C3 AI Suite. Assistand enable C3 AI's customers to build … customer teams to seek, understand, validate, interpret, and correctly use new data elements. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics,Operations Research, or a related field. Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background ...

areas of the businessRequired qualifications, capabilities, and skillsSolid background in NLP and LLMs, and solid understanding of machine learning and deep learning methodsPublished research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journalPhD in a quantitative discipline, e.g. Computer … Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the fieldExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)Ability to design experiments ...

enhancement of systematic fixed-income strategies.What We’re Looking ForThe ideal candidate will have:An advanced degree in Finance, Financial Engineering, Mathematics, Computer Science, Operations Research, Economics, Electrical Engineering, or a related field.Strong Python programming skills and deep familiarity with the Python ecosystem.Experience working with SQL databases.Excellent … preferred but not required.Deep desire to understand and outperform the markets.Data science and machine learning skills are a strong plus.Exposure to modern development and operations tools, such as Airflow, Kubernetes, or similar technologies, is a plus.Prior fixed-income trading or portfolio management experience is not required.London, UKSummaryLocation: London, UKType ...

demonstrate the technical effectiveness and business value of your methods. You will work alongside other scientists and engineering teams to deliver your research into production systems.About the teamOur team owns Prime Video observability features for development teams. We consume PBs of data daily which feed into multiple observability … machine learning models for business application- Experience in applied research- PhD in a relevant field (engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field), or equivalent relevant work experiencePreferred qualification - Experience using managed ML/AI solutions- Experience with ...

e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep …/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality codePublished research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journalAbout MLCOEThe Machine Learning Center of Excellence (MCLOE) team ...

Amazon's freight transportation network, from network design and pricing to real-time load planning and capacity utilization. The scale of Amazon's fulfillment operations requires robust transportation networks that minimize cost while meeting all customer deadlines. Real-time execution depends on state-of-the-art optimization and artificial … qualifications- 5+ years of building machine learning models or developing algorithms for business application experience- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience ...

supported by senior management and mentors to help ensure your success.Candidates should be able to understand complex issues at the intersection of mission, operations, business and technology, and communicate that complexity with clarity. Successful candidates will thrive in a fast-paced, high- performance, highly collaborative environment and demonstrate … ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science.Responsibilities:Develop and execute a comprehensive sales strategy to drive revenue growth within the defence sector, targeting key individuals within defence organisations ...

supported by senior management and mentors to help ensure your success. Candidates should be able to understand complex issues at the intersection of mission, operations, business and technology, and communicate that complexity with clarity. Successful candidates will thrive in a fast-paced, high- performance, highly collaborative environment and demonstrate … ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities: Develop and execute a comprehensive sales strategy to drive revenue growth within the defence sector, targeting key individuals within defence organisations ...

management and crew/roster optimisation challenges. You’ll translate operational problems into scalable software and optimisation solutions, partnering closely with product, data/operations research (OR), and customer stakeholders. The role blends people leadership with hands‐on technical direction across architecture, delivery, quality, and reliability. … experience with commercial optimisation solvers (e.g. Gurobi), including parameter tuning, licensing/packaging considerations, and performance troubleshooting. Experience in airline/rail/transport operations, logistics, workforce management, or similar disruption/crew scheduling environments. Familiarity with simulation and scenario generation to support what‐if analysis and resilience planning. ...

understand and meet customer requirements effectively. Our team is dedicated to delivering high-quality, end-to-end consultancy services, ranging from operational research and data analysis to P3M. We operate across multiple sectors, including defence, energy, and health. We are looking for a Senior Data Scientist to join ...

analytics, data, AI, digital technology and solutions landscape A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics, or statistics Desireable Experience in the software or product development lifecycle for analytical solutions, e.g. could include managing analytical solutions across the discovery, development ...

Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role‐specific outcomes within 3 months of hire ...

audiences.Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI.Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience.Can meet expectations for technical training and role-specific outcomes within 3 months of hireCan travel ...

tools such as HuggingFace, Langchain, and OpenAIHands-on experience working with Distributed Spark based systems.Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experienceExperience communicating and teaching technical concepts to non-technical and technical audiences alikePassion for collaboration, life-long ...

HuggingFace, Langchain, and OpenAI Hands-on experience working with Distributed Spark based systems. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life ...

analytics, data science, or decision science role at a consumer tech companyAdvanced degree in a quantitative field (economics, statistics, quantitative social science, operations research) or equivalent practical experienceDemonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity ...

through collaborative engineering and shared infrastructure. Working at the intersection of AI, cloud, and large-scale infrastructure, we partner with commercial, government, and research entities to accelerate AI adoption across the UK and Europe. Backed by UK Government and private funding, our team of experienced founders and engineers … computer architecture. Familiarity with Agile or other modern technical project management frameworks. Knowledge of modern inference‐serving frameworks (e.g., vLLM). Background in statistics, operations research, or large‐scale datacenter infrastructure. Contributions to open‐source AI or systems projects. Benefits High‐impact role in a rapidly growing ...

sales insights.Complete client advisory assignments, including analysis, presentation of results, and incorporation of revisions or extensions.Develop intellectual capital by producing high-quality research and analysis in response to industry developments.Collaborate with investment teams and institutional salesforce to deliver tailored solutions for clients.Support application development for internal and external … management, and risk management.Required qualifications, capabilities, and skills Bachelor’s degree in a quantitative or analytical discipline (e.g., actuarial science, computer science, mathematics, physics, operations research, statistics, engineering) or equivalent experience.Excellent programming skills, with experience in Python and agentic AI tools for programming and data applications.Strong analytical ...

Location: United Kingdom, London, LondonEmployment type: Full-TimeWork site: 0 days/week in-office – remoteRole type: Individual ContributorTravel: Less than 25%Profession: Research, Applied, & Data SciencesDiscipline: Data ScienceCompany: MicrosoftOverviewThis role requires to work with the UK Defense and Intelligence. The successful candidate must have or be able … expectations. You will embody our culture and values. QualificationsRequired QualificationsBachelor's OR Master's OR Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results ...

this about you? You are currently pursuing an MSc degree at a technical university or equivalent Your background is in Engineering, Applied Mathematics, Operations Research, Econometrics, Quantitative Finance, Data Science, AI or a related field You have strong analytical and quantitative problem-solving skills You are comfortable ...

Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role‐specific outcomes within 3 months of hire ...

generative pipelines. Additionally, you will integrate automated evaluation tools and filtering stages to ensure data diversity and quality, bridging the gap between advanced research and production-ready applications.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well … first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Bachelor’s degree ...

will work alongside some of the best quantitative researchers and technologists to help evolve our investment capabilities. You will be responsible for performing research, managing data, and developing APIs that will be used to power the investment process along with our flagship portfolio construction and analytics platform - Invesco … experience using third party risk models such as BarraOne or Axioma will be a plus Advanced degrees in quantitative disciplines such as engineering, finance, operations research, or computer science is required Progress towards CFA designation preferred Strong ability to learn and translate abstract principles into systematic algorithmic ...

optionality Integrating third party risk models in various portfolio construction exercises Designing and maintaining procedures and tools that make data management and research more efficient Working closely with other quantitative and technology teams in the firm in leveraging best practices from a financial theory and technological perspective. Formulating … experience using third party risk models such as BarraOne or Axioma will be a plus Advanced degrees in quantitative disciplines such as engineering, finance, operations research, or computer science is required Progress towards CFA designation preferred Strong ability to learn and translate abstract principles into systematic algorithmic ...