13 of 13 Remote Operations Research Jobs

leading researchers in Computer Science who pursue basic as well as applied research. The UniVie Doctoral School Computer Science (DoCS) builds an essential framework to foster excellence in research and teaching. Its main focus is on young prospective researchers eager to make an impact on both basic research as well as applied problems with collaborations across … new work group by Prof. Lutz within the research group Workflow Systems and Technology has a broad research focus on topics of business analytics and operations research. The interdisciplinary group aims to develop novel approaches for solving complex decision problems and explaining human behavior in the usage of information technology. For this purpose, the group … researchers from both, computer science and business administration. The successful candidate can hence build on a strong network of fellow researchers with a strong knowledge of business analytics and operations research topics.The appointment is for 4 years, whereby the employment contract is initially limited to 1.5 years and is automatically extended to a total of 4 years More ❯

insights, and a passion for innovation in market research, this is your chance to make a real difference. In this role, you will work closely with our operations, research, and tech teams, while engaging directly with senior decision-makers at global brands. It's a unique opportunity to shape strategy, drive growth, and build long … execute outbound campaigns (email, events, content) to generate qualified leads and enterprise opportunities. Use CRM platforms (HubSpot, Salesforce) to track pipeline, automate outreach, and report performance. Collaborate closely with operations, research, and tech teams to align customer needs and ensure seamless delivery. Engage directly with senior stakeholders at global Consumer Packaged Goods companies, innovation hubs, and strategic … as a brand ambassador. What We're Looking For 8-12 years of experience in business development, commercial strategy, partnerships, or enterprise sales. Background in consumer insights, product research, or data analytics - ideally with experience at firms such as Nielsen, Ipsos, GfK, or similar. Proven success in outbound sales execution and CRM-driven pipeline management (HubSpot, Salesforce, etc. More ❯

partners across the globe. About this role: This is more than a management role; it's a leadership opportunity. You will lead a diverse team of Data Scientists and Operations Research Scientists across Europe and North America, acting as the primary architect of their culture. Your mission is to build an environment of high psychological safety where … and experimentation thrive, and where intelligent failures are celebrated as learning opportunities. You will be the coach and mentor who guides the team through the inherent ambiguity of research and discovery, empowering them to tackle immense technical challenges and deliver extraordinary results while building a cohesive, collaborative unit that transcends geographic boundaries. You won't do this alone. … at the core of everything your team creates. What will you bring to the team? Hard skills: Technical Expertise: Advanced proficiency in data science, machine learning, and/or operations research methodologies, with extensive experience applying these techniques in production environments. Project Leadership : Proven experience leading complex technical projects, with a track record of successfully evolving existing More ❯

technical concepts into clear, accessible explanations for business audiences. Collaborate closely with engineers, consultants, and clients to turn data into impact. Support the creation of thought leadership through research, white papers, and conferences. Take part in … all stages of the analytics lifecycle — from discovery to deployment and optimisation. What you'll bring Currently pursuing a Master's or PhD in Data Science, Computer Science, Statistics, Operations Research, or a related field. Strong experience with Python and a good understanding of modern machine learning methods. Excellent analytical and problem-solving skills, with the ability More ❯

identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience deploying and maintaining of ML models More ❯

Build and maintain strong relationships with key suppliers, negotiating and drafting favorable terms into contracts, ensuring the highest standards of quality and service. Market Analysis: Conduct thorough market research and analysis to identify trends, risks, and opportunities within the supply chain, and prepare PowerPoint decks to support informed sourcing decision-making. Risk Management: Identify potential risks within the … to translate data into actionable insights and persuasive narratives. Expertise with category planning, competitive bidding techniques (RFI, RFP, RFQ), creation of business cases, vendor selection, vendor risk due diligence, operations management, and vendor dispute/escalation management. Financial modelling skills to build multiple negotiation scenarios, total cost of ownership models, consumption models, and demand forecasts based on spend analytics … Proficient MS Office skills, including experience using CoPilot and other AI software products. Education Requirements: Bachelor's Degree, with preferences for Accounting, Finance, Computer Science, Engineering, Economics, Data Science, Operations Research, Technology or Supply Chain Management, or Entrepreneurship. Advanced degrees in Business, the Sciences, Engineering, Law, or related areas are a plus. Our benefits To help you More ❯

change a position's job designation depending on business needs and as permitted by local law. What you bring Basic Bachelor's degree in computer science, physics, statistics, econometrics, operations research, applied mathematics or an equal computational field Minimum of 6-8 years of relevant professional experience with a Bachelor's degree; 5-7 years with a … Master's degree; or 5+ years with a PhD, or equivalent combination of education and experience Experience in leading and managing machine learning engineering teams Experience in the research, development, fine-tuning, and deployment of large language models (e.g., GPT, Llama, etc.) in production environments Understanding of LLM architectures, tokenization, attention mechanisms, prompt engineering, and transfer learning Familiarity More ❯

execute outbound campaigns (email, events, content) to generate qualified leads and enterprise opportunities. Use CRM platforms (HubSpot, Salesforce) to track pipeline, automate outreach, and report performance. Collaborate closely with operations, research, and tech teams to align customer needs and ensure seamless delivery. Engage directly with senior stakeholders at global Consumer Packaged Goods companies, innovation hubs, and strategic … as a brand ambassador. What We're Looking For 8-12 years of experience in business development, commercial strategy, partnerships, or enterprise sales. Background in consumer insights, product research, or data analytics - ideally with experience at firms such as Nielsen, Ipsos, GfK, or similar. Proven success in outbound sales execution and CRM-driven pipeline management (HubSpot, Salesforce, etc. More ❯

more personalized and automated customer experiences. This position is an individual contributor role reporting to the Director of Engineering. Responsibility Work together with the ML team to perform research, testing and evaluation of existing and emerging NLP/ML/DL methods and technologies that could be effectively applied to contractual/legal Apply NLP techniques in order … machine learning framework Strong programming experience in one or more of the following languages - Python, C#, Java, C/C++ Bachelor's degree in computer science, Physics, statistics, econometrics, operations research, applied mathematics or an equal computational field Preferred Demonstrated experience developing and deploying sequence based Deep Learning models Experience in the latest NLP big model technologies More ❯

the coming years. To fully harness this opportunity, we are embarking on a bold new phase — one that places technology and data at the very core of how our operations run. This transformation is shaped around cross-functional product teams aligned to key mission areas such as Planning, Network Operations, Engineering, Aircraft Performance, Safety, and Airports. By integrating … designed to be agile, responsive, and scalable by giving teams the tools, autonomy, and clarity to deliver lasting impact. This role sits at the heart of the Integrated Planning & Operations Mission, a key pillar in easyJet’s broader operations transformation strategy. This mission focuses on building next-generation optimisation solutions for our Network Control team, by combining data … that underpin how we make decisions based on multi dimensional cost view, continuously optimise our 'tails' & lines of flying and options to recover the programme during normal or Irregular operations (Disruption). This is a key area of strategic focus for the airline, with direct impact on operational efficiency, quicker time to decision and scenario planning in the live More ❯

define product requirements and priorities - Work closely with data engineers, analysts, and developers to deliver scalable solutions using SQL Server, Power BI, and AWS cloud services - Apply Operational Research (ORR) techniques and data modelling to guide product strategy and decision-making - Ensure data governance, compliance, and security standards are upheld - Monitor and report on product performance, driving improvements … Manager or Data Product Manager in a data or technology-focused business - Technical expertise with SQL Server, Power BI, and AWS (cloud/data services) - Experience applying Operational Research (ORR) methods such as optimisation, modelling, or advanced analytics - Strong stakeholder management and communication skills, able to translate technical concepts into business outcomes - Analytical mindset with the ability to More ❯

Principal Consultant - Operational Analysis Location – Bristol – Hybrid Salary: £70K-£80K plus bonus, pension, medical and many benefits Are you someone with a background in Operational Analysis, Operational Research or Supporting Government Approvals; looking to take the next step in your career and join a growing team? Our client has a track record of success, as a trusted partner … domain knowledge and approvals expertise to provide the evidence to make better decisions, in support of their customers within the defence and space sectors. In particular, they: Undertake research to analyse the benefits of new equipment, approaches or technologies Provide the evidence to support Government procurement decisions Work with customers and stakeholders to improve policy, strategy and planning More ❯

Principal Consultant - Operational Analysis Location – Bristol – Hybrid Salary: £70K-£80K plus bonus, pension, medical and many benefits Are you someone with a background in Operational Analysis, Operational Research or Supporting Government Approvals; looking to take the next step in your career and join a growing team? Our client has a track record of success, as a trusted partner … domain knowledge and approvals expertise to provide the evidence to make better decisions, in support of their customers within the defence and space sectors. In particular, they: Undertake research to analyse the benefits of new equipment, approaches or technologies Provide the evidence to support Government procurement decisions Work with customers and stakeholders to improve policy, strategy and planning More ❯