26 to 50 of 160 Operations Research Jobs

client engagements and translating business requirements into actionable technical solutions. Desirable Experience: Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Operational Research, Statistics, or a related field. Proven track record of delivering AI solutions in enterprise SaaS environments, particularly for Workday systems. Advanced proficiency in relational ...

client engagements and translating business requirements into actionable technical solutions. Desirable Experience: Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Operational Research, Statistics, or a related field. Proven track record of delivering AI solutions in enterprise SaaS environments, particularly for Workday systems. Advanced proficiency in relational ...

capabilities across the investment platform. Qualifications, Experience & Attributes MSc, PhD, or equivalent degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline. 5+ years' experience applying data science, machine learning, AI, or advanced analytics to solve complex commercial problems with ...

capabilities across the investment platform. Qualifications, Experience & Attributes MSc, PhD, or equivalent degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline. 5+ years' experience applying data science, machine learning, AI, or advanced analytics to solve complex commercial problems with ...

capabilities across the investment platform. Qualifications, Experience & Attributes MSc, PhD, or equivalent degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline. 5+ years' experience applying data science, machine learning, AI, or advanced analytics to solve complex commercial problems with ...

transform data into actionable intelligence, ensuring mission success in an evolving world. Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling … most pressing challenges in national security. Role This role is for a Data Scientist on a close-knit team supporting Air Force Special Operations Command (AFSOC) at RAF Mildenhall, UK. This team is at the center of helping the command empower and leverage its data for more effective analysis ...

management Statistical analysis and predictive modelling AI-enabled analytics and automation solutions Qualifications Qualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics, Mathematics, Engineering, or Economics) or equivalent experience Ideally, You'll Also Have Experience of financial, operational, and commercial reporting and relevant performance metrics ...

unstructured data managementStatistical analysis and predictive modellingAI-enabled analytics and automation solutions QualificationsQualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics, Mathematics, Engineering, or Economics) or equivalent experience Ideally, You'll Also HaveExperience of financial, operational, and commercial reporting and relevant performance metricsAn understanding ...

throughput, model or component reuse, forecast quality, adoption, control effectiveness, and business value. Governance, Partnership & Culture Coordinate with Data & AI, architecture, cyber, infrastructure, risk, operations, legal, compliance, and vendor teams where products depend on shared platforms or require specialist review. Represent quantitative product priorities in Investment Technology, Data … case governance forums, providing transparent rationale for roadmap and investment decisions. Build trusted relationships with investment team members, quantitative engineers, risk professionals, and operations teams across regions. Education & Qualifications Bachelor's degree required; advanced degree preferred. Quantitative discipline such as mathematics, statistics, engineering, computer science, economics, operations research ...

throughput, model or component reuse, forecast quality, adoption, control effectiveness, and business value. Governance, Partnership & Culture Coordinate with Data & AI, architecture, cyber, infrastructure, risk, operations, legal, compliance, and vendor teams where products depend on shared platforms or require specialist review. Represent quantitative product priorities in Investment Technology, Data … case governance forums, providing transparent rationale for roadmap and investment decisions. Build trusted relationships with investment team members, quantitative engineers, risk professionals, and operations teams across regions. Education & Qualifications: Bachelor's degree required; advanced degree preferred. Quantitative discipline such as mathematics, statistics, engineering, computer science, economics, operations research ...

optimisation models in the ODS software product suite. The Data Scientist is in charge of modelling and robust implementation of features contributing to an operations decision‐support product. In developing a product’s core algorithm, the full‐stack Data Scientist role ensures that features integrate seamlessly into the product … business process and use case. Required Skills Strong knowledge of machine learning and optimisation techniques, including supervised (regression, tree methods, etc.), unsupervised (clustering), and operations research (linear, mixed integer programming, heuristics) Fluent in Python (required) and other programming languages (preferred) with strong skills in applying ...

revenue forecasting, and cost optimisation Test rigorously through simulations, backtests, shadow testing, and A/B experiments to quantify real‐world impact Conduct research on airline commercial problems and emerging industry dynamics Translate insights into action by presenting findings and recommendations to business stakeholders and subject matter experts … right in. Requirements of the Role What We're Looking For Essential Qualifications Degree in statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency ...

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. Requirements … 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. ...

reviews, design discussions, and knowledge sharing Drive adoption of AI best practices Experience & Qualifications: Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or related quantitative field, or equivalent industry experience 6+ years (Master’s) or 4+ years (PhD) of hands-on experience applying ...

Latham & Watkins LLP is seeking a Research Services Manager – Operations, AI Platforms for its London office. The role leads evaluation, testing, and implementation of AI-powered research platforms, coordinating pilot programs and gathering feedback to drive adoption. Responsibilities include coordinating vendor due diligence, working with … Security & Risk Management, and serving as the operational liaison across Research Services, Innovation & AI, and TI teams. #J-18808-Ljbffr ...

Deep Learning with hands‐on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry‐leading conferences, experimentation and participating in our knowledge sharing community Develop state … 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 field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit‐Learn, Pandas) Ability to design ...

Drive Firm‐wide initiatives by developing large‐scale frameworks to accelerate the application of machine learning models across different areas of the business Research and explore new machine learning methods through independent study, attending industry‐leading conferences, experimentation and participating in our knowledge sharing community Required qualifications, capabilities … 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 ...

Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community Required qualifications, capabilities … 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 ...

running, ensuring our users have the best and fastest experience possible. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python ...

such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand lift studies ...

such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand lift studies ...

such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand lift studies ...

systematic fixed-income strategies. **What We’re Looking For**The 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 … 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, UK### About ...

continuous learning Drive firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across business areas Research and explore machine learning methods through independent study, conferences, experimentation, and participation in the knowledge-sharing community Требования PhD in a quantitative … discipline such as Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science; alternatively, an MS with significant industry or research experience in the field Strong background in NLP, LLM, and graph analytics, with hands‐on experience and solid understanding of machine learning ...

or equivalent experience in an analytical/data role. Evidence of continuing professional development. Postgraduate qualification or training in data science, statistics, operational research, computer science, health informatics or related discipline. Membership or active involvement in AphA, AnalystX, NHS-R, nhs.pycom or similar community. Analytical and data science ...