1 to 25 of 77 Operations Research Jobs

with trading, technology, and risk teams to deliver impactful tools and analytics. The team specializes in building models that leverage Machine Learning, Statistics, and Operations Research to solve complex business challenges. As a Vice President in QTR Prime Finance, you will collaborate with senior stakeholders to design … borrow-loan, cash, and synthetic financing books, as well as predictive analytics to forecast borrow rates, product demand, and other key business drivers. Apply operations research and optimization techniques to automate and enhance traders' decision-making and inventory management. Analyse market data to uncover patterns, causality ...

clients ongoing analytics and reporting needs in the development of an appropriate Machine Learning (M.L.) software product solution. Lead the performance of management and operations research analyses using applicable data analysis software to ensure the appropriate operation of M.L. software products. Lead the evaluation of business processes … from an operations research perspective. Direct and adapt plans for the collection of data. Develop methods to present, discuss, and ultimately resolve issues presented by clients, or apparent from data analysis (such as sampling methods and/or data collection methods). Serve as main point ...

Associate Data Scientist - Operations Research London, England, United Kingdom About Wheely Wheely is a high-end ride-hailing service redefining premium transportation across major cities in Europe and the Middle East. We combine technology with the art of five-star chauffeuring to deliver a consistently exceptional experience. … US. We're adding exceptional talent to drive our next phase of growth. We're hiring Associate Data Scientists with a background in Operations Research. You will own the entire process: from ideation and research through to production deployment. You’ll join either our Pricing or Matching ...

take the optimisation of our network to the next level. This is a leader-of-leaders role: a global team of 90+ data scientists, operations research scientists, ML engineers and MLOps engineers, led through managers and principal data scientists. You will set the DS/OR/… courier behaviour: lead incentive and pay design grounded in economics and causal modelling, anticipating how couriers respond to the levers we pull Set the Operations Research agenda: combinatorial optimisation, exact and heuristic solvers, and simulation for capacity planning and policy testing Set the bar for validation before ...

route optimisation. Most of the work is backend engineering on distributed, production-grade systems, built in close partnership with data scientists, analysts and our operations teams. If your depth is in operations research or machine learning and you want to see your models plan a real … productionise optimisation, forecasting and ML models, making them robust, observable and ready for peak volumes. Stay close to the operation. Work directly with operations teams, see how plans perform on the ground, and close the loop with data. Raise the bar. Lead design and code reviews, mentor engineers ...

career growth in analytics and beyond. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. … strategy Masters or Ph.D. Degree in a quantitative field Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 10+ years of experience doing complex quantitative analysis in product analytics Demonstrated ability to integrate AI tools to optimize/redesign ...

Role: Associate Principal AI Engineer - Mathematical OptimisationLocation: Cambridge UKSalary: Competitive + Excellent BenefitsDo you have expertise in, and passion for Operations Research and AI? Would you like to apply your modelling expertise in a company that follows the science and turns ideas into life changing medicines? Then … business areas, sometimes at once.Be self-driven, curious, innovative, deeply technical and learn continuously.Essential for the roleExperience and demonstrable technical skills in developing operations research solutions for complex real-world problems.Demonstrated experience using mathematical optimisation software such as CPLEX, Gurobi, SCIP, or OR-Tools.Experience with heuristic ...

Role: Associate Principal AI Engineer - Mathematical Optimisation Location: Cambridge UK Salary: Competitive + Excellent Benefits Do you have expertise in, and passion for Operations Research and AI? Would you like to apply your modelling expertise in a company that follows the science and turns ideas into life … sometimes at once. Be self-driven, curious, innovative, deeply technical and learn continuously. Essential for the role Experience and demonstrable technical skills in developing operations research solutions for complex real-world problems. Demonstrated experience using mathematical optimisation software such as CPLEX, Gurobi, SCIP, or OR-Tools. Experience ...

every day, feed the planning and quoting systems, and get checked against what actually happened. What we look for A quantitative background in operations research, applied maths, statistics, quantitative finance, economics or a similar field, and a record of models that changed real decisions. Optimisation: linear ...

systems. About the role Anthropic is seeking a Contracts Manager to join our team in London. Embedded within our in‐region commercial and legal operations, you'll work closely with local in‐region counsel and lead counsel to support commercial and technology transactions across the region. You'll review … process improvements from global headquarters, and running local enablement sessions. You'll build scalable contracting processes and collaborate across Product, Sales, Finance, Business Operations, Research, and Procurement teams. Key responsibilities Draft, analyze, negotiate, and complete complex commercial transactions with enterprise customers, vendors, and strategic partners, including ...

Quantitative Researcher – Maths/Statistics/Machine Learning Hikaros Quant Lab (HQL) is a quantitative research and technology lab focused on solving difficult problems in financial markets through mathematics, statistics, machine learning and computation. We are assembling a small, highly selective research team and are looking … exceptional problem-solvers rather than a particular industry background. Relevant backgrounds could include: Mathematics Statistics/Biostatistics Computer Science Machine Learning/AI Physics Operations Research/Optimisation Computational Science Applied Mathematics Other highly quantitative disciplines You might be: A PhD student or recent PhD graduate ...

Senior Data Scientist, Research, Reliability Analytics Share Senior Data Scientist, Research, Reliability Analytics link Copy link corporate_fare Google place London, UK Mid Experience driving progress, solving problems … mentoring more junior team members; deeper expertise and applied knowledge within relevant area. 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 ...

Join a pioneering team at the forefront ofsystematic trading innovation. The Quantitative Trading & Research (QTR) group is responsible for systematic trading across FX, Rates, Commodities, Credit, Equity and a wide range of markets. Within QTR, AI Market Lab brings together quantitative research, modern artificial intelligence, market … with ML infrastructure engineers. Required Qualifications, Capabilities, and Skills Advanced degree (Master's, PhD, or equivalent experience) in machine learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field. Demonstrated experience pre-training a large model from scratch (Transformer/LLM/multimodal/ ...

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 ...

Streamlit. Prior experience in the healthcare industry preferred. Bachelor's degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required. Master's in related field is preferred. Why Should You Apply? Health Benefits Referral Program Excellent growth ...

Machine Learning and Econometrics with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation. 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 … across different areas of the business Required qualifications, capabilities, and skills PhD in a quantitative discipline, e.g. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research Ability to conduct literature research in unfamiliar fields Hands-on experience and solid understanding of machine learning and deep ...

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 ...

people leadership, roadmap ownership, technical review, and delivery accountability for production data science and machine learning initiatives. The manager will partner with Finance, Marketing, Operations, and Product stakeholders to prioritize work involving forecasting, causal methods, customer modeling, optimization, and marketing measurement. Success requires strong Python, SQL, applied ML, MLOps … delivers the most impact to the business rather than just replicating a US structure overseas. You will partner directly with Finance, Marketing, and Operations leadership to translate business priorities into a team roadmap, then make sure that roadmap actually ships.### You Will:* **Help Establish the UK Team ...

occasionally for client meetings or project needs, including domestic or international engagements. What We Are Seeking Master's degree in Applied Mathematics, Economics, Statistics, Operations Research, Computer Science, Engineering, Physics, Cognitive Science, or a related quantitative, technical, or natural science discipline. Relevant experience in financial services, fintech … without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While ...

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 ...

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. ...

/CD with Azure DevOps, unit testing, and reproducible deployments. You have a deep understanding of uplift modeling, statistical matching, experimentation design, and operations research or constrained optimization. You ideally bring familiarity with interactive front ends (such as Databricks Apps or Streamlit), Databricks Asset Bundles, MLflow ...

solid expertise in Deep Learning with hands‐on implementation experience, strong analytical thinking, a deep desire to learn and high motivation. 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 … 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 ...

straddles traditional Data Science and Engineering roles as well as the application of Machine Learning & AI. We work closely with Quant Researchers, Portfolio Managers, Operations and Execution to continuously improve upon our offering. Every day we work to transform our business through data, technology, and insights we provide … side. You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting‐edge solutions. Your focus will be to dive deep into ...

Bedrock, Azure AI, GCP Vertex AI). AI Architecture & Security: Understanding of cloud reference architectures, identity and access, data governance, privacy, and compliance. Math & Operations Research: Applied knowledge of linear/nonlinear optimization, statistical analysis, reinforcement learning, and forecasting is a plus. Strong presentation skills to both ...