13 of 13 Operations Research Jobs in London

standard software engineering role. It combines coding, quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities … distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience ...

standard software engineering role. It combines coding, quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities … distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience ...

retail company. Your new role Seeking a hands-on Data Science role in London to support R&D for automated packaging. You'll combine operations research, simulation, and practical engineering to create models that improve how the products are counted, bagged, and boxed. The goal: deliver iterative … involving variability and constraints. Ability to search optimal recipe space within a model. Build models to explore and exploit possibilities, not just predict outcomes. Operations research: handling constraints, finding optimal arrangements for fastest packing. Stochastic simulation: accounting for variability in machine speeds and conveyor setups. Techniques: statistical ...

retail company. Your new role Seeking a hands-on Data Science role in London to support R&D for automated packaging. You'll combine operations research, simulation, and practical engineering to create models that improve how the products are counted, bagged, and boxed. The goal: deliver iterative … involving variability and constraints. Ability to search optimal recipe space within a model. Build models to explore and exploit possibilities, not just predict outcomes. Operations research: handling constraints, finding optimal arrangements for fastest packing. Stochastic simulation: accounting for variability in machine speeds and conveyor setups. Techniques: statistical ...

retail company. Your new role Seeking a hands-on Data Science role in London to support R&D for automated packaging. You'll combine operations research, simulation, and practical engineering to create models that improve how the products are counted, bagged, and boxed. The goal: deliver iterative … Exploration vs. exploitation mindset. Ability to search optimal recipe space within a model. Build models to explore and exploit possibilities, not just predict outcomes! Operations research: handling constraints, finding optimal arrangements for fastest packing. Stochastic simulation: accounting for variability in machine speeds and conveyor setups. Techniques: statistical ...

retail company. Your new role Seeking a hands-on Data Science role in London to support R&D for automated packaging. You'll combine operations research, simulation, and practical engineering to create models that improve how the products are counted, bagged, and boxed. The goal: deliver iterative … Exploration vs. exploitation mindset. Ability to search optimal recipe space within a model. Build models to explore and exploit possibilities, not just predict outcomes! Operations research: handling constraints, finding optimal arrangements for fastest packing. Stochastic simulation: accounting for variability in machine speeds and conveyor setups. Techniques: statistical ...

Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with a proven track record in client-interaction, can collaborate with engineering and business teams and is good ...

Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with a proven track record in client-interaction, can collaborate with engineering and business teams and is good ...

quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. They have deep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a technology and data-driven firm, they design and build their own cutting edge systems … large scale data analysis and compute farms. With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology, and operations teams functionally around the world. Building on their quantitative research platform and process-driven approach, they also runs discretionary strategies to take advantage ...

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

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

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++ ...

agent performance and operational efficiency across our contact operations. This role is ideal for someone who understands how data can be used to optimise operations, shape channel demand and support decisions around call demand volume, workforce planning and demand forecasting. You'll work within a matrix organisation, partnering closely … Ability to turn complex analysis into clear, compelling insights for non-technical audiences Advanced analytical skills, with experience applying data science, analytics or operational research techniques to real-world business problems Proficiency in Python (production-level) and SQL ; experience with modern ML/AI libraries such as scikit ...