17 of 17 Operations Research Jobs

enrich both your personal and work life and hop on board! Why you'll love this job This position is part of the Operations Performance and Analytics Department This position serves as a key resource for analytical and decision support initiatives. This position will also be instrumental in maintaining … versus other airlines and industries. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in a quantitative discipline (Operations Research, Industrial Engineering, Data Science, Applied Statistics, or related field). 3+ years of experience in simulation modeling and analysis . Proficiency ...

advanced models that push the boundaries of AI, optimization, simulation, and machine learning. Your expertise will drive scalable, innovative solutions that combine: Cutting-edge Operations Research (optimization, simulation) State-of-the-art machine learning (tree models, deep learning, reinforcement learning) Next-gen Generative AI and Agentic … into strategic insights that transform business decisions and outcomes Job Qualifications Required: Bachelor's, Master's, and/or postgraduate in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) 5+ years of experience in Data Science or related field, with proven ...

or M Tech/MS or equivalent in Mechanical/Metallurgical/Electrical/Electronics/Computer Science/Instrumentation/Industrial Engineering/Operations Research or any other relevant discipline. Relevant experience: 2-4 years of experience Locations: Jamshedpur/Kalinga Nagar/Kolkata/Mumbai … Full Stack Developer Key Roles & Responsibilities Assume a strong sense of ownership of the product: Design, develop & deploy. Collaborate with senior management, operations & business team. Work closely with operations and infrastructure to build high scale backend services. Ensure Quality & sustainability of the architecture. Requirements B.Tech/M.Tech graduates ...

between science roadmaps and product launch timelines across 20+ locales. Delivery and Execution Own end‐to‐end delivery of speech quality improvements from research through production deployment. Define success metrics and evaluation frameworks for multilingual speech quality. Balance long‐term research investments with near‐term launch … international product launches. Basic Qualifications Experience directly managing scientists or machine learning engineers. Master’s degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or PhD. Knowledge of ML, NLP, Information Retrieval and Analytics. Experience building complex highly‐scalable ...

Drive firm‐wide initiatives by developing large‐scale frameworks to accelerate the application of machine learning models across different areas of the business. Research and explore new machine learning methods through independent study, attending industry‐leading conferences, experimentation and participation in knowledge‐sharing community. Required Qualifications, Capabilities … quantitative discipline (Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with significant industry or research experience. Solid background in NLP, LLM, and graph analytics plus hands‐on experience and solid understanding of machine learning and deep learning methods. Hands ...

Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety … PyTorch, etc. Experience building production‐grade machine learning deployments on AWS, Azure, or GCP 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 Passion ...

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 ...

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 ...

standards and code review. Skills Required: A degree in a quantitative, analytical or spatial subject such as geography, data science, statistics, mathematics, operational research, economics, engineering, GIS, planning or a related field. Good Python skills, particularly for data manipulation and analysis using libraries such as pandas. Practical experience ...

credit bureau data. Exposure to A/B testing and optimisation techniques. Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). TPBN1_UKTJ ...

credit bureau data. Exposure to A/B testing and optimisation techniques. Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). ...

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 ...

understand and meet customer requirements effectively. Our team is dedicated to delivering high-quality, end-to-end consultancy services, ranging from operational research and data analysis to P3M. We operate across multiple sectors, including defence, energy, and health. We are looking for a Senior Data Scientist to join ...

environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served ...

movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys ...

potential operational constraints ·Translating technical analysis into clear insight and recommendations Experience required: ·Applied machine learning and statistical modelling ·Forecasting, simulation, optimisation or operational research techniques ·R programming (Python experience beneficial) ·SQL and working with large datasets ·Ability to explain technical findings clearly to different audiences A background ...

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++ ...