8 of 8 Operations Research Jobs in London

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 ...

interactions, dimensionality reduction Time Series & Forecasting Trend decomposition and seasonality detection Stationarity testing and autocorrelation calculations Forecast accuracy metrics and moving average computations Optimization & Operations Research Resource allocation and constraint satisfaction problems Cost-benefit analysis and capacity planning optimization Network analysis and supply chain calculations Database & Mathematical … Foundations Complex SQL query optimization and window functions Probability computations for business scenarios Linear algebra operations and matrix factorization Information theory metrics (entropy, mutual information) Optimization algorithms and convergence analysis Requirements Education & Core Experience Advanced degree (Master's or PhD) in Data Science, Statistics, Mathematics, Computer Science, or related ...

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 ...

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++ ...

results or technical concepts to non-technical audiences with clarity and empathy. Strong business awareness with a thorough understanding of the relationship between contact operations and customer experience. Experience working collaboratively with cross-functional teams and engaging stakeholders at all levels to deliver impactful solutions. Advanced analytical skills with … experience in applying a variety of data science, analytics, and operational research techniques at scale to address business challenges. Minimum 4 years' hands-on experience as a Data Scientist, with exposure to productionised models. Proficiency in Python (production-level) and SQL; confident with modern ML/AI libraries ...