1 to 25 of 123 Operations Research Jobs in London

should be highly analytical and passionate about analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Experience with AI, machine learning, and research is a big plus. Your goal will help our company analyze trends to make better decisions. Your Responsibilities Within IBKR: Design, develop, and implement data pipelines to collect, clean … in Data Science or other quantitative field is preferred. 5+ years of experience as a Data Scientist or Data Analyst. Experience in data mining. Understanding of machine learning and operations research. Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus. Experience using ELK Stack (Elasticsearch, Logstash, Kibana). Experience More ❯

We would still love to hear from you if you think you’re a good fit! General technical requirements: BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning Proficiency with CRISP-ML(Q) or …/Consumer Goods, Healthcare, Energy or Utilities, Tech Extensive experience working with POS systems data, including transaction records, SKU-level details, and understanding of sales cycles Knowledge of retail operations, including merchandising, store layouts, product placements, and how these factors impact sales and customer engagement Familiarity with inventory management data, demand planning, and supply chain logistics, including forecasting stock … Snowflake for data engineering and analytics Experience working with Big Data technologies (e.g., Hadoop, Apache Spark) Familiarity with NoSQL databases (e.g., columnar or graph databases like Cassandra, Neo4j) Research experience with peer-reviewed publications Certifications in cloud-based machine learning services (AWS, Azure, GCP) What`s in it for you? Care: your mental and physical health is our More ❯

General Court and national competition authorities, regulators and courts. Compass Lexecon is recruiting a Senior Data Scientist to join the Data team, which is part of the broader Research Team. Data is a core part of every project at Compass Lexecon and turning that data into compelling empirical analysis is fundamental to what we do. With increasing amounts … involve mining large datasets. The next week, you may find yourself working on natural language processing using large language models, developing innovative AI applications. Contribute to cutting-edge research projects, advancing Compass Lexecon’s thought leadership in the application of advanced analytics to competition and finance cases. Mentor junior team … members, conducting advanced training sessions and develop sophisticated tools to enhance how economists works with data. Master’s degree in computer science, applied mathematics, statistics, machine learning, economics, or operations research 4+ years of professional data science experience, with a proven track record of translating business problems into data science solutions Proficiency and knowledge of: Python and More ❯

BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead teams Likes … Have strong project management skills What You'll Bring Currently enrolled in a university Master's or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field TECHNOLOGIES: Programming Languages: Python Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to More ❯

professionals who serve internal firm customers. The Business Intelligence group is responsible for all reporting, performance metrics, and descriptive analytics enabling the firm to understand and optimize our people operations, and measure the impact of our strategic initiatives. The team works in a highly collaborative environment. The focus on this new role is with the firm’s Lifecyle Engagement … data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or similar field 4+ years of professional experience in applied analytics or research Success as an individual contributor within a broader team Solid analytical and data management skills Ability to plan, prioritize and manage multiple projects, and to work effectively under More ❯

of the statistical and machine learning methodologies and tools used by the team. Qualifications Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent. Experience in advanced analytics in industry or research. Experience with commercial recommender systems or a lead role in an advanced … research recommender system project. Working experience with deep learning and graph methodologies in machine learning. Strong experience with deep learning using TensorFlow. Experience implementing scalable, distributed, and highly available systems using Google Could Platform. Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow. Proficient in Python. Java or Scala is a plus. Experience in data processing … ago Sr Data Science Manager, Professional Services London, England, United Kingdom 1 week ago Senior Data Science Manager, Professional Services Greater London, England, United Kingdom 1 week ago Research Scientist (Quantum Chemistry and Machine Learning), London London, England, United Kingdom 3 days ago London, England, United Kingdom 2 days ago Senior Marketing Data Scientist - Strategic Growth Partner London More ❯

insights into business value. Strong project management skills are also essential. What You'll Bring Enrollment in a Master’s or PhD program in Computer Science, Data Science, Statistics, Operations Research, or related fields. Proficiency in programming, especially Python. Ability to distill complex results into clear visualizations and explain sophisticated concepts understandably. Experience with modern machine learning More ❯

develop into a key industry expert and/or coding and modelling expert in energy market models Develop, maintain, and improve routines and data preparations Take responsibility for live operations Constantly learn new techniques and apply to existing problems Manage students and guide young professionals Attend exhibitions, conferences, and customer meetings Skills and Behaviours: Power/energy market expertise … calculated risks and fail. We put the customer first and have a thirst for learning. If this is you, then get in touch. Related fields: Market analysis, Power Market, Operations research, Computational economics, Scenario analysis, Data Science, Artificial Intelligence, System dynamics We are committed to providing a fair and accessible hiring process. If you have a disability More ❯

to how fast. Work with business teams to define requirements and high-level process/system solutions. Drive standardization of tools and processes to build scalable execution plans with operations team. As part of EU planning standardization team, lead the tools adoption and share best practices across UK and Italy. Manage the timelines with partner teams to support project … launches, and driving improvements. BASIC QUALIFICATIONS Bachelor or equivalent education in Mathematics, Statistics, Computer Science, Operations Research, Logistics, Supply Chain, Economics, Business Administration, or a similar related discipline. Work experience in business analytics with demonstrated proficiency in quantitative analysis. Excellent Microsoft Excel skills. Experience with SQL or other programming experience. Experience in project management, handling multiple priorities More ❯

Functions, App logic and other data analytics services, including streaming. Experience with Airflow and Kubernetes. Programming languages: Python (PySpark), scripting languages like Bash. Knowledge of Git, CI/CD operations and Docker. Basic knowledge of PowerBI is a plus. Experience deploying cloud infrastructure is desirable Understanding of Infrastructure as Code would be beneficial True engineering craftsmanship mindset. Passionate about … and working collaboratively. Strong problem-solving skills, coupled with the ability to convey designs and ideas to a wider audience. Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus). In a changing world, diversity and inclusion are core values for team More ❯

a team of Data Scientists - Discover areas of the customer experience that can be automated through machine learning - Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing More ❯

a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Doctorate, Master's, or Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field, or equivalent experience. Doctorate or Masters of data science experience, including managing structured and unstructured data, applying statistical techniques, and reporting … and deploy machine learning models at scale, using Microsoft tools and frameworks. Present and explain the results and implications of data analysis and modeling to senior customer stakeholders. Research and keep up with the latest industry trends, technologies, and advances in data science, machine learning, and artificial intelligence. Collaborate with Microsoft program managers, engineers, and cross-functional teams … a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Doctorate, Master's, or Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field, or equivalent experience. Doctorate or Masters of data science experience, including managing structured and unstructured data, applying statistical techniques, and reporting More ❯

of FICO's AI/Gen AI products, aligning customer needs with machine learning and analytic methods. Provide feedback for product development based on customer interactions. Participate in research to identify emerging AI/Gen AI trends and technologies to develop new products and expand our IP. Lead external communications, including speaking engagements, collateral, presentations, and social … media messaging. Create proof of concepts, product demos, respond to RFIs/RFPs, and prepare sales proposals. What We're Seeking MSc in computer science, engineering, physics, statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical More ❯

a breadth of industries and topics What You'll Bring REQUIREMENTS: Currently enrolled in a university Master's or PhD degree program in Computer Research Science, Statistics, Operations Research, or related field TECHNOLOGIES: Programming Languages: Python Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to More ❯

develop into a key industry expert and/or coding and modelling expert in energy market models Develop, maintain, and improve routines and data preparations Take responsibility for live operations Constantly learn new techniques and apply to existing problems Manage students and guide young professionals Attend exhibitions, conferences, and customer meetings Skills and Behaviours: Power/energy market expertise … calculated risks and fail. We put the customer first and have a thirst for learning. If this is you, then get in touch. Related fields: Market analysis, Power Market, Operations research, Computational economics, Scenario analysis, Data Science, Artificial Intelligence, System dynamics At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new More ❯

Scientists to guide how every parcel moves through our network - from when it enters the system to when it's delivered at the doorstep. We're hiring an Operational Research Data Scientist to join our Routing squad, helping to design, test, and improve the models and algorithms that power routing across Relay's first, middle, and last mile. … This role sits at the intersection of operations research and applied data science; it's well-suited to someone who enjoys turning real-world routing challenges into scalable solutions. You'll work directly in a cross-functional squad which includes Operations, Engineering, Data Analytics, and Data Science, to improve the quality of our routes and reduce … commercial constraints into model or algorithm improvements Bring a scientific lens to operational design; measure rigorously, test thoughtfully What we're looking for Academic or Industrial experience in Operational Research, specifically combinatorial optimisation and/or graph theory Academic or Industrial experience with experimentation, simulation and statistical analysis MSc or PhD in a relevant discipline Experience working in More ❯

with Azure: Data factory, Databricks, Synapse (DWH), Azure Functions, App logic and other data analytics services, including streaming. Experience with Airflow and Kubernetes. Knowledge of Git, CI/CD operations and Docker. Basic knowledge of PowerBI is a plus. Experience deploying cloud infrastructure is desirable Understanding of Infrastructure as Code would be beneficial Passionate about continuous improvement and working … collaboratively. Strong problem-solving skills, coupled with the ability to convey designs and ideas to a wider audience. Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus). In a changing world, diversity and inclusion are core values for team well-being More ❯

Company Description Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is … of new products, enhance the performance of existing ones, and deliver data-driven product solutions in collaboration with product and engineering teams. You will also be working with Commercial, Operations, and Finance teams to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. What You Will Do Develop a comprehensive, predictive understanding of marketplace … audiences. Qualifications What We Are Looking For Minimum 2+ years of solid experience in a data science role. Master's degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large datasets. In-depth understanding of statistical techniques and concepts (e.g., distributions, hypothesis testing More ❯

must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. 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-of-the art machine learning models … a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and … B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal About MLCOE The Machine Learning Center of Excellence (MCLOE) team partners across the More ❯

you. We value solid expertise in Machine Learning and Econometrics 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-of-the art machine learning models … application of machine learning models across different areas of the business. Required qualifications, capabilities, and skills PhD in a quantitative discipline, e.g. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research. Ability to conduct literature research in unfamiliar fields. Hands-on experience and solid understanding of machine learning and deep learning methods. Extensive experience with machine learning … Balance Sheet, Income Statement, and Cashflow statement. Ability to develop and debug production-quality code and solid experience in writing unit tests, integration tests, and regression tests. Published research in areas of Machine Learning/Deep Learning/Reinforcement Learning OR Finance/Accounting at a major conference or journal. About Us J.P. Morgan is a global leader More ❯

You will also bring new requirements back to the product development team for consideration as part of our AI/Gen AI product roadmaps. You will participate in research projects to identify emerging trends and technologies in AI/Gen AI space that can help us develop new products and expand our IP library. You will focus on … create proof of concepts, product demonstrations, respond to RFIs/RFPs, and prepare sales package proposals. What We're Seeking MSc degree in computer science, engineering, physics, statistics, mathematics, operations research or natural science fields with hands-on related experience in data science, including AI/Gen AI and machine learning. Experience analyzing large data sets and … advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related More ❯

efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Sr. Applied Scientists capable of using GenAI and other techniques to design … state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions … 바로 우리가 근무 문화의 일환으로 유연성을 추구하기 위해 노력하는 이유입니다.직장과 가정에서 지지받는다고 느낄 때 클라우드로는 달성할 수 없는 것이 없습니다. BASIC QUALIFICATIONS - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, OR Masters degree plus 10 years of relevant work experience - 5+ years of hands More ❯

Operations Research Scientist/Sr. Operations Research Scientist - London (Hybrid working) Job Description Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is … distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. Key Objectives: The Global Analytics- Operations Research team at Chubb is looking for a Operations Research Scientist/Sr. Operations Research Scientist to join our fast … paced, high-energy team responsible for delivering cutting edge solutions leveraging operations research techniques. This position offers the opportunity to lead innovative projects and advance Chubb’s AI-driven Solutions. Key Responsibilities: Design and implement optimization solutions for use in insurance risk profiling, claims management and other key opportunity areas. Lead simulations and analysis of business strategies More ❯

problems. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Emirati national is required. Key job responsibilities As a Data Scientist, you will: Collaborate with AI …/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths … using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. PREFERRED QUALIFICATIONS PhD or Master's degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. Practical experience in solving complex problems in an applied environment. Hands-on experience building models with deep learning frameworks like More ❯

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. TikTok's Product Solutions & Operations (PSO) team aims to help businesses and brands address their marketing goals through product solutions and also reflecting key insights back to the product teams for product iteration. This … role will partner closely with the EUI Strategy and Operations lead to ensure that all projects are completed on time and to the highest standard. This highly organized and efficient professional must be flexible and able to wear multiple hats while working closely with our cross-functional teams and prioritizing the needs of the team. Key Responsibilities Responsible for … day-to-day product-related operational questions. Qualifications Minimum Qualifications: 5+ Years industry experience (preferably in ad tech, agencies, digital marketing) and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience. Fluency in SQL/Hive, R/Python; experience in using data visualization products; knowledge of quantitative More ❯