51 to 75 of 102 Operations Research Jobs

first ML hire. What we are looking for A degree in machine learning, computer science, engineering, physics, mathematics, applied mathematics, operations research or a closely related STEM field from a top university. Strong practical experience building machine learning models in Python, ideally using PyTorch, JAX or similar … occasional travel to customer sites in the UK. Nice to have Experience deploying ML models into production. Experience with optimisation, simulation, control systems or operations research. Exposure to industrial or operational data environments. Publications or research experience in scientific ML, machine learning for physical systems or applied ...

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. ...

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 ...

accessible to everyone. THE TEAM ~90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first‐principles ...

credit bureau data. Exposure to A/B testing and optimisation techniques. Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). TPBN1_UKTJ ...

credit bureau data. Exposure to A/B testing and optimisation techniques. Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). ...

mining, parallel and distributed computing, high-performance computing- PhD or a Master's degree and experience in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative fieldPreferred qualification - Experience in professional software development- Experience applying theoretical models in an applied environmentAmazon ...

storage, networking, security, databases, machine learning, and serverless technologies- Experience building large-scale machine learning and AI solutions at Internet scalePreferred qualification - PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience working with or evaluating AI systems- Experience in data applications ...

Have Qualifications Proven experience developing and deploying ML models in production settings Master’s or PhD in Engineering, Computer Science, Applied Mathematics, Data Science, Operations Research, or a related field Strong expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Demonstrated depth in model ...

trades are facilitated by state-of-the-art infrastructure which handles their larger trading volumes easily.Role:Using the firms automated trading framework to research and apply strategiesUsing progressive statistical approaches to analyse data and ascertain opportunities for tradingTo build upon and develop strong understanding of market structures … ready.During market – sporadically monitoring behaviour and performance of strategies.Ideal Candidate:Quantitative background - including Master/PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University.Programming proficiency with at least one major programming or scripting language (Python, C++ ...

algorithms for routing optimisation), applied ML (for continuously improving our drive/drop time estimates), forecasting and modelling. Our data teams within Logistics research and build the algorithms that optimise decisions … world’s most advanced warehouses and delivery networks. You’ll be responsible for the strategy and delivery of data science, ML, and operations research across both Logistics and Fulfillment (CFCs). We need a leader who can take us from "great research" to "production-scale ...

complex information concisely to business stakeholders up to executivelevel rolesPrimary Skills and QualificationsBachelor’s or Master’s degree in in Industrial Engineering, Supply Chain, Operations Research,Computer Science, Computer Engineering, Statistics, Information Technology or a related field.Minimum 8 years of broad experience in software implementation consulting … training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.People matter at Kinaxis and here are some ...

mentor more junior consultants throughout the project lifecycle.Primary Skills and Qualifications• Bachelor’s or Master’s degree in in Industrial Engineering, Supply Chain, Operations Research, Computer Science, Computer Engineering, Statistics, Information Technology, or a related field.• 5 + years of in-depth experience in software implementation or … training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.People matter at Kinaxis and here are some ...

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 … optimizationSome experience using third party risk models such as BarraOne or Axioma will be a plusAdvanced degrees in quantitative disciplines such as engineering, finance, operations research, or computer science is requiredProgress towards CFA designation preferredStrong ability to learn and translate abstract principles into systematic algorithmic representationsDisability Confident ...

your skills and professional experience To qualify for the role, essential attributes are:A numerical degree or equivalent, e.g., Mathematics, Engineering, Physics, Operational Research, Computer Science (a Master’s degree in a relevant quantitative/finance discipline or Professional qualification such as PRMIA, GARP, CFA would ...

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 ...

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 ...

Problem-Solving Skills: A scientific mindset with the ability to ask and answer the right questions. Specialised Knowledge: Experience in predictive modelling, operational research, deep learning, and time series modelling. Leadership Experience: Proven commercial experience working with business stakeholders, alongside a record of mentoring and developing junior professionals. ...

slab logistics at Tata Steel Nederland. The goal is to support better allocation decisions that keep slabs hot for longer, while avoiding unnecessary crane operations and reshuffling. You will build on an existing slab logistics model and previously developed heuristic approaches. Your main task will be to investigate … reduce this heat loss, but their value depends strongly on how they are used. Poor allocation may lead to unnecessary slab movements, extra crane operations, and limited operational acceptance. In this internship, you will develop and evaluate an AI-based decision-support approach for hot-room allocation. The preferred ...

facilitated by state-of-the-art infrastructure which handles their larger trading volumes easily. Role: Using the firms automated trading framework to research and apply strategies Using progressive statistical approaches to analyse data and ascertain opportunities for trading To build upon and develop strong understanding of market structures … During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including Master/PhD's in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++ ...

will collaborate with cross-functional teams to understand their data needs and deliver actionable insights. If you're passionate about leveraging technology to streamline operations and enhance transparency, this is your chance to make a significant impact. Join us in building the future of financial and logistical management. Responsibilities … desirable Strong understanding of data governance principles, practices, and tools. Knowledge of metadata management and data cataloging solutions. Bachelors degree in information systems, engineering, operations research, or a related field Desired: Agile certification (SAFe) and experience working in an Agile environment SAP expertise (public sector/ ...

customers and internal SMEs such as the Technology Architect through the project lifecycle.Primary Skills and Qualifications• Bachelor’s degree in Industrial Engineering, Supply Chain, Operations Research, Computer• Science, Computer Engineering, Statistics, Information Technology or a related field.• 5-7 years of relevant experience in business software consulting … training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.People matter at Kinaxis and here are some ...

concisely to business stakeholders up to executive level roles Primary Skills and Qualifications Bachelor’s or Master’s degree in Industrial Engineering, Supply Chain, Operations Research, Computer Science, Computer Engineering, Statistics, Information Technology or a related field. Minimum 8 years of broad experience in software implementation consulting ...

movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys ...

roles which your background might be better suited to. A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics, or statisticsExperience of conducting analysis for evidence-based decision making, designing and developing models and conducting analysis to support data-centric decision makingExperience … delivering solutions that involved one or more of the following specialisms: advanced analytics and data science, algorithm design and development, developing operational research models, data engineering, big data and Cloud platforms, data visualisation or dashboard development.A genuine affinity for problem solving - an inquisitive mind who wants to solve ...