26 to 50 of 112 Operations Research Jobs in England

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. ...

opportunities to develop in these areas will also be provided: Demonstrable technical specialism in one of the following: Data Science, Machine Learning, Optimisation, Operations Research, Statistics, AI Engineering. Leveraging latest AI and Agentic tooling to assist in all stages of the development lifecycle Experience in building data ...

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 ...

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 ...

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 ...

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 … have immediate business impact, you'll fit right in. 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 ...

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 ...

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 ...

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 ...

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 ...

quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems … large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.Overview of Quant Researcher Position:- Research and implement strategies within the firm's automated trading framework. - Analyze large data ...

class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning … Solid python along with development skills to support research efforts Good C++ skills is a plus Master or PhD in mathematics, statistics, operations research, physics, computer science, and financial engineering related subjects Desire to work within a collaborative, team-driven environment Reliable and predictable availability ...

build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally with AI/ML Product, Research, and Engineering to shape long-term strategic priorities and initiatives. We are looking for a world-class leader to lead and grow … teams to drive business impact through AI/ML “Company-first” mindset Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Preferred: Experience in a customer‐facing consulting or professional services leadership role Experience working with Databricks About Databricks ...

Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role‐specific outcomes within 3 months of hire ...

class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning … meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Neuroscience, Materials Science, Operations Research, and more. If you have outstanding skills in math and programming and you are curious about the challenge of improving research ...

through collaborative engineering and shared infrastructure. Working at the intersection of AI, cloud, and large-scale infrastructure, we partner with commercial, government, and research entities to accelerate AI adoption across the UK and Europe. Backed by UK Government and private funding, our team of experienced founders and engineers … computer architecture. Familiarity with Agile or other modern technical project management frameworks. Knowledge of modern inference‐serving frameworks (e.g., vLLM). Background in statistics, operations research, or large‐scale datacenter infrastructure. Contributions to open‐source AI or systems projects. Benefits High‐impact role in a rapidly growing ...

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 ...

understanding of analytics, data, AI, digital technology and solutions landscape A degree,Mastersor PhD from a leading university in data science, mathematics, operational research, physics, or statistics Desireable Experience in thesoftware orproduct development lifecycle for analytical solutions, e.g. could include managing analytical solutions across the discovery, development/ ...

bring: Candidates should have a Bachelors, Masters or PhD in any discipline with strong academic performance in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Demonstrated proficiency in a programming language or analytic tool such ...

usable products, models or decision support tools. Develop, validate and document predictive, evaluative and advanced analytical methods using appropriate statistical, machine learning or operational research approaches. Produce reusable RAPs, code libraries, model documentation and implementation guidance that support scale across FDP tenants. Coach analysts and junior da Working … relevant numerical, analytical, scientific, informatics or digital discipline. Evidence of continuing professional development. PhD or additional postgraduate training in data science, statistics, operational research, computer science, health informatics or related discipline. Professional registration or active membership of AphA, AnalystX, NHS-R, nhs.pycom or similar. Data science experience Experience ...

mathematically intensive backgrounds with experience in modelling, simulation, or similar analytical fields. Relevant academic or professional backgrounds may include: applied mathematics theoretical physics operations research engineering disciplines with strong mathematical modelling content computer science with significant numerical or algorithmic depth other computational science Desired skills and competencies … life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/Find out more ...

zero carbon by 2040 across operations. The EU Micromobility team designs, drives, and scales the program across Europe. We focus on achieving cost‐optimal operations through innovation, continuous improvement and integration. Our team operates with dedicated POCs in Planning, Launch, Process Improvement, Tech Integration, Fleet and Speed. We collaborate … closely with Last Mile (LM) teams and partner with Operations Integration (OI), the local Micro SMEs in each geography. Basic Qualifications Bachelor's degree or above in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent Can demonstrate proficiency in Microsoft Excel or ...

Proficiency in Python with hands-on experience in a major solver library (Gurobi, OR-Tools, CPLEX, HiGHS, or equivalent) Experience with supply chain/operations data — SKUs, BOMs, capacity constraints, service levels, lead times, inventory targets etc. Understanding of core OR techniques: branch-and-bound, LP relaxation, constraint programming … sensitivity analysis Degree in Operations Research, Applied Mathematics, Industrial Engineering, CS, or related field (MS/PhD advantageous) #LI-HYBRID #LI-LS1 We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This ...

paced, high-performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities Consult with global 1000 customers to help them understand, structure, and implement … their digital transformation goals and expand the client footprint. Develop, maintain, and manage the implementation of strategic customer engagement plans. Manage efforts to research and identify customer prospects and targets. Collaborate with sales, engineering, products, and marketing teams to develop new product offerings within existing and new lines ...