1 to 25 of 27 Permanent Operations Research Jobs in the UK excluding London

Description - Senior Operations Research Scientist (17178) Job Description Senior Operations Research Scientist ( 17178 ) Description Senior Operations Research Scientist INTRO We are easyJet – a FTSE listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. … Promise Behaviours - we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet. READ ON IF YOU Have significant experience delivering operations research and optimisation solutions within complex operational environments. Enjoy solving large-scale routing, scheduling, capacity planning and resource allocation challenges using advanced mathematical ...

This is an opportunity for a Data Operations Manager to join a research and analytics business focused on improving data delivery, automation, and operational processes. You'll work across a range of data projects, helping to drive efficiency and support the continued development of the data function. … join a collaborative team where data and technology play a key role in project delivery. The Role You will be responsible for managing data operations and supporting the delivery of quantitative research programmes.Key responsibilities include: Managing survey scripting, data processing, reporting operations, and workflow delivery Improving ...

change lives through Monzo ðLondon/Cardiff/UK Remote | ð113,200 - 145,200 + Incentive Awards tied to your performance + BenefitsOur Operations Machine Learning team We're building the machine learning and optimisation systems that help Monzo provide fast, efficient and resilient customer support at scale. … excited to grow into a broader leadership role. Not everything here is about LLMs. You'll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter. You'll lead a growing team of Machine Learning Scientists ...

technical concepts in non‐technical terms. Desirable Experience: Advanced degree (MSc or PhD) in a quantitative field like Computer Science, Machine Learning, Operational Research, or Statistics. Proven track record of delivering data science projects, especially in enterprise software or SaaS environments. Basic familiarity with CI/CD pipelines ...

technical concepts in non-technical terms. Desirable Experience: Advanced degree (MSc or PhD) in a quantitative field like Computer Science, Machine Learning, Operational Research, or Statistics. Proven track record of delivering data science projects, especially in enterprise software or SaaS environments. Basic familiarity with CI/CD pipelines ...

client engagements and translating business requirements into actionable technical solutions. Desirable Experience: Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Operational Research, Statistics, or a related field. Proven track record of delivering AI solutions in enterprise SaaS environments, particularly for Workday systems. Advanced proficiency in relational ...

client engagements and translating business requirements into actionable technical solutions. Desirable Experience: Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Operational Research, Statistics, or a related field. Proven track record of delivering AI solutions in enterprise SaaS environments, particularly for Workday systems. Advanced proficiency in relational ...

Join a pioneering team at the forefront of systematic 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 … serving components with ML infrastructure engineers.Required Qualifications, Capabilities, and SkillsAdvanced 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/time ...

transform data into actionable intelligence, ensuring mission success in an evolving world. Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling … most pressing challenges in national security. Role This role is for a Data Scientist on a close-knit team supporting Air Force Special Operations Command (AFSOC) at RAF Mildenhall, UK. This team is at the center of helping the command empower and leverage its data for more effective analysis ...

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 ...

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 ...

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 ...

Director of Health Data Research This is a rare opportunity to build and scale a new commercial research function at the intersection of healthcare, data, AI, and life sciences. You will lead the development of strategic research partnerships, helping to unlock the value … data-driven offerings for life sciences and healthcare markets Navigate regulatory and market considerations to identify new partnership opportunities Work closely with data, product, operations, and leadership teams to bring research programmes to life Lead and develop a small Research Partnerships team, including specialist programme ...

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

external tools that can enhance our commercial decision-making and optimisation capabilities. About you A degree in a numerical discipline such as Operational Research, Data Science, Mathematics, Statistics or a related field, or equivalent professional analytics/data science qualifications and experience. Significant experience (typically 5+ years) applying ...

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 ...

opportunities, and make evidence-based recommendations. Qualifications Essential Educated to masters level in a relevant analytical, informatics, data, public health, economics, operational research, business intelligence or management discipline, or equivalent senior professional experience. Desirable Evidence of sustained continuing professional development relevant to BI, analytics, leadership, data management, improvement ...

experiments in order to help drive critical decisions at Google. Specifically, we support the development of innovative, highly scalable, next-generation technologies through research and advanced analysis. Google is and always will be an engineering company. We hire people with a broad set of technical skills … engineers are changing the world one technological achievement after another. Minimum qualifications: Currently enrolled in a PhD program in Statistics, Biostatistics, Computer Science, Mathematics, Operations Research, or a related technical field involving experimental design and quantitative analysis of experimental data, and in your penultimate year of study. ...

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 statistics. Experience of conducting analysis for evidence‐based decision making, designing and developing models and conducting analysis to support data‐centric decision … 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 ...

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 ...

heuristics that ship, not papers that don’t Pair with engineers to embed solvers behind clean APIs and feedback loops Validate against the truth (operations on the ground), not just against the model What we are looking for Strong foundations in operations research, mathematical optimisation, or ...

role provides specialist analytical leadership for the South Wales Trauma Network, using data science, advanced analytics and business intelligence to support service improvement, research and evidence-based decision-making. The post holder will analyse and interpret complex trauma datasets, including data from the National Major Trauma Registry (NMTR … managerial and strategic decision-making. Working closely with clinical, academic and operational colleagues, the role will drive quality improvement initiatives, service evaluation and research programmes that improve the delivery of trauma care and patient outcomes across South, Mid and West Wales. Main duties of the job The role ...

that is looking for a Data Scientist to join a major engagement with a global FMCG business. The role will focus on distribution and operations, using Data Science to improve areas such as logistics performance, forecasting, territory planning and operational decision-making. This is a strong opportunity … trusted relationships with technical and non-technical stakeholders. The role You will work across the full analytical lifecycle, including: Working with stakeholders across Sales, Operations and Distribution to understand their challenges. Turning loosely defined business problems into clear analytical plans. Identifying, acquiring and assessing the quality of relevant data. ...

policy and service developments related to advanced analytics, evaluation, population health intelligence and evidence-led commissioning. Ensure compliance with relevant ICB policies Use research and innovation to inform service improvements or performance management Strategy and analysis Use complex health, care, finance, quality and population datasets to understand demand … interventions, including interpreting impact for decision making. Understanding of statistical significance, uncertainty, bias, and the strengths and limitations of analytical methodologies. Experience using research evidence and innovation to inform decision making and service improvement. Qualifications Essential Educated to Masters level in a relevant discipline (e.g. Data Science, Statistics ...

Python, Stata or equivalent. A postgraduate qualification, or equivalent experience, in a relevant quantitative discipline such as statistics, epidemiology, health economics, operational research, population health intelligence or data science would be advantageous.About usNHS Essex ICB is a statutory organisation responsible for the planning and funding of NHS services … insight generation, drawing on requirements from NHS strategies, including the ICB strategy and the 10 Year Health PlanEnsure compliance with relevant ICB policiesUse research and innovation to inform service improvements or performance managementStrategy and analysis Use complex linked health and care datasets, including activity, finance, quality, outcomes ...