1 to 25 of 29 Operations Research Jobs

Logo The Technical University of Munich (TUM) invites applications for the position of Tenure Track Assistant Professor in "Operations Research and AI" to begin as soon as possible. The position is a W2 fixed-term (6 year) tenure-track professorship with the possibility for promotion … teaching as well as the promotion of early-career scientists. We seek to appoint an expert in the research area of Operations Research with a focus on Artificial Intelligence, especially data driven optimization and machine learning. Teaching responsibilities include courses in the university's bachelor ...

Title: Research and Development Solution Architect - Digital Lab Operations Location: Morristown, NJ -Cambridge, MA About the Job Join the digital engine driving Sanofi's transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you'll help build the first biopharma company powered … unique challenges of the pharmaceutical industry. We are seeking a skilled, hands-on solution architect to join our team. Mostly dedicated to Digital Lab Operations & CMC Operations domain, you will be a key strategic leader and will work closely with the service lines and program leaders to establish ...

Develop time series and forecasting models to predict demand, revenue and customer behaviour across regions and product lines. Build and refine optimisation models using operations research techniques to support pricing, promotional strategies and inventory decisions. Work end to end across the ML lifecycle, from problem definition, data … delivery. Your Skills And Experience Strong commercial experience building and deploying machine learning models in production environments. Deep expertise in pricing, optimisation or operations research, ideally with hands-on experience of tools such as Gurobi, CPLEX or similar optimisation libraries. Strong skills in Python and modern ...

contract negotiations. Develop dashboards and scorecards to monitor supplier KPIs and procurement efficiency. Logistics & Network Optimisation Use data to optimise transportation routes, warehouse operations, and distribution networks. Apply geospatial and cost‐to‐serve analytics to improve delivery performance and reduce logistics costs. Implement and configure analytics platforms (e.g., Power … contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think‐tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and meet evolving skill demands within the company. YOUR PROFILE ...

engineering - translating probabilistic outputs into something a procurement professional can act on in the moment, not just admire in a dashboard. Bridge research and engineering to ship production-grade systems. You won't be throwing models over the fence. You'll work in close collaboration with our engineering …/futures markets) and how to incorporate forward curve data Experience building real-time or near-real-time inference pipelines at scale Background in operations research or supply chain optimisation Exposure to LLMs as signal sources — extracting structured market intelligence from unstructured text ML Skills ...

engineering - translating probabilistic outputs into something a procurement professional can act on in the moment, not just admire in a dashboard. Bridge research and engineering to ship production-grade systems. You won't be throwing models over the fence. You'll work in close collaboration with our engineering …/futures markets) and how to incorporate forward curve data Experience building real-time or near-real-time inference pipelines at scale Background in operations research or supply chain optimisation Exposure to LLMs as signal sources — extracting structured market intelligence from unstructured text ML Skills ...

consulting—while still delivering meaningful change. What We're Looking For Technical Expertise Degree or Master's in Maths, Statistics, Data Science, Operational Research, or similar fields. Strong applied statistics background. Experience working with messy or complex datasets Hands‐on exposure to integer programming, MIP, MILP, and applied ...

consulting—while still delivering meaningful change. What We're Looking For Technical Expertise Degree or Master's in Maths, Statistics, Data Science, Operational Research, or similar fields. Strong applied statistics background. Experience working with messy or complex datasets Hands‐on exposure to integer programming, MIP, MILP, and applied ...

consulting-while still delivering meaningful change. What We're Looking For Technical Expertise Degree or Master's in Maths, Statistics, Data Science, Operational Research, or similar fields. Strong applied statistics background. Experience working with messy or complex datasets Hands-on exposure to integer programming, MIP, MILP, and applied ...

reviews, design discussions, and knowledge sharing Drive adoption of AI best practices Experience & Qualifications: Master's or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or related quantitative field, or equivalent industry experience 6+ years (Master's) or 4+ years (PhD) of hands-on experience applying ...

reviews, design discussions, and knowledge sharing Drive adoption of AI best practices Experience & Qualifications: Master's or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or related quantitative field, or equivalent industry experience 6+ years (Master's) or 4+ years (PhD) of hands-on experience applying ...

innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience."" Hands-on e xperience developing solutions with Large Language Models in enterprise ...

/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike 5+ ...

/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike 5+ ...

Learning Experience and skills 5+ years of commercial experience as a Data Scientist building machine learning models. Relevant degree, e.g., Computer Science, Machine Learning, Operations Research. Previous commercial experience with Open Banking data and building consumer credit risk scorecards preferred. Domain relevant experience, e.g., have worked ...

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 ...

Build test scripts, support functional validation tests using software emulation tools Engage in cross-functional, Agile teams to build out features and functionality Apply operations research concepts (flow analysis, bottleneck identification, queueing logic) to support optimizing warehouse execution workflows Assist in translating logistics and material-handling processes … ravel across North America to customer sites to validate system functionality and testing Expectations Bring an analytical, systems-thinking approach to understanding warehouse operations and how software drives automation Use foundational knowledge in industrial engineering or supply-chain optimization to structure problems and propose data-driven improvements Show curiosity ...

Location : Hybrid (London, UK) Contract Duration : Initial 612 months Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling … Conditional (must meet at least 2 of the below) Time-series modelling 2+ years Geospatial data experience (H3, GeoPandas, PostGIS or similar) Optimisation/operations research exposure Logistics/mobility/marketplace domain experience Nice to Have Reinforcement learning Simulation modelling Experience deploying models into cloud environments ...

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++ ...

Senior Optimisation Data Scientist Contract | £600-£900/day | Hybrid London We are working with a major international transport and operations organisation building out a central AI and Data Science capability focused on solving complex operational optimisation problems across multiple business units. This is a hands-on contract role … closely with business teams, identify optimisation opportunities and make clear technical recommendations. Key requirements: * Proven experience building optimisation or simulation solutions in production * Strong operations research or mathematical optimisation background * Experience working on logistics or supply chain optimisation problems * Experience translating business problems into optimisation models * Strong ...

clear technical recommendations to stakeholders on optimisation opportunities. Your Skills and Experience * Strong experience building optimisation or simulation solutions in production environments. * Background in operations research or mathematical optimisation. * Experience working on logistics, supply chain or wider operational optimisation problems. * Ability to translate real-world business issues ...

excellence. A collaborative, proactive, and solutions-focused approach. A degree (or equivalent experience) in a quantitative field such as Mathematics, Economics, Statistics, or Operational Research would be ideal. At InHealth, were passionate about improving lives through better healthcare and data is key to that mission. If youre driven ...

implementation. Deep understanding of object-oriented programming, design patterns, and software engineering principles. Strong analytical and problem-solving skills. Familiarity with logistics and operations research concepts is advantageous. Highly reliable, responsible, and effective as part of a collaborative team. Excellent verbal and written communication skills in English. ...

developing their skills within Howden’s Sales & Distribution function. What you’ll do Generate reports, store completed work in designated locations and perform backup operations Research and obtain further information for incomplete documents Compile, verify accuracy and sort information according to priorities to prepare source data ...