126 to 150 of 164 Data Mining Jobs in London

Senior Data Scientist Up to £80,000 London (Remote First) Company: Join a leading B2B Travel and Hospitality company that partners with major global airlines and hotel brands. In this role, you’ll drive revenue growth and elevate the e-commerce experience by leveraging advanced forecasting, automation, and data-driven insights. Responsibilities: Lead technical efforts to improve the … propose initiatives to shape the long-term scientific vision. Own and actively contribute to the design and development of internal machine learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting More ❯

Job summary LAS Data Scientists use analytics and insights to support operational service delivery and provide evidence for business and strategic decision making. This role will be instrumental in bringing together our datasets through the use of mathematical models, dynamic reporting, and creative visualisation, to drive forward our ambition of making the LAS a world-class service. Working on … a variety of projects across the organisation, the role will include many aspects of data science, from algorithm development and implementation of modelling methods, to data engineering and the application of advanced statistical techniques. Recommendations derived from your work will shape the delivery of an evolving service in a challenging healthcare environment. This role will also involve a … mixture of home and office working. Main duties of the job An exciting opportunity has arisen for a post as a Data Scientist within the Forecasting & Planning team. The successful candidate will need to come to the office 3 days per week. You will join an enthusiastic and technically-minded team as part of a high profile and influential More ❯

creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're looking for a Senior Marketing Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our marketing strategy in 2025 and help us to build a … people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in … one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. How we hire We are excited to be expanding and are hiring for multiple roles across our Data More ❯

you will partner with stakeholders across business and operations verticals to solve complex technical problems, preferably with simple but scalable solutions. Supply Chain managers take customer anecdotes seriously, are data-driven, and create & leverage mechanisms to develop scalable solutions that eliminate ambiguities. They are comfortable working in teams with advanced analytical, mathematical, and quantitative requirements. Basic qualifications 1. At … easy or comfortable. Ability to function independently with limited guidance. 11. Ability to work with varied stakeholders, earn their trust, and influence up to +1 level without authority using data and facts. 12. Working knowledge of data mining using SQL, ETL, data warehouse, and Excel. Preferred qualifications 1. Strong presentation skills, capable of independently presenting narratives … Q&A from stakeholders in open forums. 2. Proficiency in VBA Macro, Quicksight or related dashboard tools, Python, R, etc. 3. Excellent written communication skills, with a focus on data orientation and brevity. 4. Direct work experience in e-commerce, warehousing, or delivery station operations. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If More ❯

a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities. JOB PURPOSE To provide data analytics and gap analysis of key areas of compliance in the business that would leave us exposed from a risk perspective if not highlighted. This reporting is to be … to highlight exceptions and/or breaches in key areas utilising both SAP and IntelliQ. Supporting regional APP with evidence gathering during investigations. System Maintenance to include: monitoring daily data loads and clearing of load errors; weekly gap analysis; regular updates of key data streams from HR, product and finance to ensure reporting is accurate and up to … APP team to provide training materials and support for using the system. Maintenance of the APP (Asset and Profit Protection) Operations database to include keeping store master and HR data up to date. Supporting the wider regional team with a growing list of daily, weekly and monthly reports including : Store KPI Reporting, Adjustment Reporting, Incident Reporting, Digital Fraud Reporting More ❯

machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability … of scientists in developing machine learning and statistical techniques to create scalable risk management systems, including exploration of GenAI applications - Guide team strategy in analyzing Amazon's historical business data to identify risk patterns and trends that inform business decisions - Partner with senior leaders to frame business problems, establish scientific vision, and execute strategic roadmaps across the organization - Direct … model implementations and new feature creations - Develop and maintain relationships with operations staff to optimize risk management operations - Drive the establishment of scalable, efficient, automated processes for large-scale data analyses, model development, validation, and implementation - Provide clear, compelling management reporting on team progress, model performance, and business impact. - Hire, grow, and develop excellent scientific and analytic talents within More ❯

reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. - Improving Copilot Chat and Researcher response quality through state-of-the-art grounding data selection strategies. - Enhancing Copilot Search by developing novel content representation models. - Building the next wave of recommendation and personalization capabilities across M365 Copilot experiences. - In addition to driving innovation … in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must - Excellent problem solving and data analysis skills and a good grasp of applied statistics. Particularly, expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms, especially at More ❯

Are you passionate about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As an Applied Scientist, you will join a team dedicated to optimizing our delivery network, ensuring customers receive their packages reliably and efficiently. We are seeking … drive impactful projects, implement advanced scheduling solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of last-mile delivery. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities … comfort with ambiguity. This role offers the opportunity to make a significant impact on one of the world's most sophisticated logistics networks while working with pioneering technology and data science applications. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience More ❯

Amazon Development Center Germany GmbH - C92 Have you ever wondered how Amazon delivers timely and reliably hundreds of millions of packages to customer's doorsteps? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward … seeking Applied (or Research) Scientists. As a key member of the central Research Science Team of logistic operations, these persons will be responsible for designing algorithmic solutions based on data and mathematics for optimizing the end-to-end Amazon supply chain network. The job is opened in the EU Headquarters in Luxembourg (alternatively: Barcelona, Berlin or London), designed to … solve challenging problems for Amazon logistics operations. You will be developing and testing prototype solutions with above algorithmic techniques. You will be scavenging information from the sea of Amazon data to improve these solutions. You will be meeting with other scientists, engineers, stakeholders and customers to enhance the solutions and get them adopted. About the team The Science and More ❯

use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and … ML models. Use machine learning and analytical techniques to create scalable solutions for business problems. Research and implement novel machine learning and statistical approaches. Mentor interns. Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. About the team When a customer returns a package … and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience with popular deep learning frameworks such as MxNet and Tensor Flow PREFERRED QUALIFICATIONS More ❯

years of relevant work experience - 5+ years of hands on experience with Python to build, train, and evaluate models - experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - experience with design, development, and optimization of generative AI solutions, algorithms, or technologies - Experience in More ❯

on multi-modal (speech/audio/video) representations, understanding, transformation and generation for streaming and non-streaming applications, learning from human and AI feedback, inference time optimizations, and data efficient scaling. A day in the life You will support the science solution design, run experiments, research innovative algorithms, and find new ways of optimizing the customer experience, while … patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - PhD - 4+ years of deep learning, computer vision, human robotic interaction, algorithms … success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. More ❯

6+ years of applied research experience 5+ years of hands on experience with Python to build, train, and evaluate models Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies Experience … success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. More ❯

authority. Strong verbal and written communication skills, ensuring key messages are clear and concise. Self-managed and self-driven, able to anticipate needs and execute accordingly. Ability to turn data into meaningful information and present it professionally for senior management review. Ability to lead through influence and thrive despite challenges. Effective interaction across multiple functions, geographies, and levels within … the company. Advanced PC skills including Microsoft Office Suite, data mining, Python, Power BI, Tableau, etc. Excellent project management skills with the ability to handle several projects simultaneously. Ability to handle confidential information with discretion. Bachelor's degree required; MBA highly desirable. Limited global travel required as needed. Corporate Security Responsibility All activities involving access to Mastercard assets More ❯

We welcome graduates with a strong academic background who are eager to build a career in investment management; Aptitude for utilising technology and databases; preferably with technical expertise in data models, database design and data mining techniques; Programming skills in VBA and Python; Outstanding and enhanced critical thinking and analytical skills; Keen interest in funds management and More ❯

We welcome graduates with a strong academic background who are eager to build a career in investment management; Aptitude for utilising technology and databases; preferably with technical expertise in data models, database design and data mining techniques; Programming skills in VBA and Python; Outstanding and enhanced critical thinking and analytical skills; Keen interest in funds management and More ❯

We welcome graduates with a strong academic background who are eager to build a career in investment management; Aptitude for utilising technology and databases; preferably with technical expertise in data models, database design and data mining techniques; Programming skills in VBA and Python; Outstanding and enhanced critical thinking and analytical skills; Keen interest in funds management and More ❯

We welcome graduates with a strong academic background who are eager to build a career in investment management; Aptitude for utilising technology and databases; preferably with technical expertise in data models, database design and data mining techniques; Programming skills in VBA and Python; Outstanding and enhanced critical thinking and analytical skills; Keen interest in funds management and More ❯

or relevant fields - 5+ years of hands on experience with Python to build, train, and evaluate models - 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Customer-facing and hands-on experience with design, development, and optimization of generative AI More ❯

and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience in More ❯

control (e.g. Git or SVN) Desired skills and experiences: ElasticSearch/Kibana Cloud computing (e.g. AWS) Hadoop/Spark etc. Graph Databases Educational level: Master Degree Tagged as: Clustering , Data Mining , Industry , Information Retrieval , Master Degree , Sentiment Analysis , United Kingdom More ❯

RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns … modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results. Key job responsibilities As an Applied Scientist … of the both. - Strong working knowledge of programming languages such as C/C++, Java, or Python. - Proven ability to relate to and solve business problems through machine learning, data mining and statistical algorithms - Published and/or presented papers at ACL, ICML, NIPS, KDD, CVPR or similar top-tier conferences and events. - Technical fluency; comfort understanding and More ❯

change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems. About the Role: We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world. At Jump you will have the opportunity to contribute in a blend of three … roles - quant researcher/data scientist, trader, and software developer - based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump. You will start by completing a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-house courses … top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.). No prior knowledge of finance or trading is necessary. We'll give you the training that you'll need. Reliable and predictable More ❯

Facilitate communication across engineering, product, legal, and other cross-functional teams Lead project planning sessions and track milestones for ML agent-based research initiatives Provide visibility into progress using data-driven updates, risk tracking, and mitigation strategies Align project goals with team and organizational strategy, ensuring all stakeholders are informed Qualifications: Bachelor's or Master’s degree in Computer … Science, Machine Learning, Statistics, or a related field Hands-on experience in one or more of the following areas: machine learning , AI , data mining , recommendation systems , or pattern recognition Strong technical background, including coding proficiency (Python preferred) Proven track record managing technical projects in a fast-paced environment Excellent communication skills and ability to work cross-functionally Preferred More ❯

researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. We are seeking world-class engineers to collaborate with our research … a collaborative, team-oriented environment Expertise in GPU or Accelerator programming (CUDA, Triton, SYCL, ROCm or equivalent) Experience building ML systems at large scale (hundreds of TBs of training data, low latency or high throughput inference requirements) Excellent written and verbal communication skills in English Reliable and predictable availability required INTERNATIONAL STUDENTS are encouraged to apply. We accept students More ❯