126 to 150 of 212 Data Mining Jobs in the UK

Data Scientist, AWS Generative AI Innovation Center Job ID: Amazon Web Services EMEA Dubai FZ Branch - Q29 Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve business and operational problems and promote innovation in their … organization. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. We're looking for Data Scientists capable of using generative AI and other techniques to design, evangelize, and … 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 More ❯

As our business continues to grow and with our US customer base expanding, we are looking for a Senior Data Lead to join our highly motivated team. With extensive experience in using Data Visualisation tools, as well as a demonstrated ability to solve complex data requirements within … SQL, you'll be responsible for helping Broker Insights deliver on their purpose of delivering exceptional data insights and intelligence to facilitate US broker and insurer services. With working hours aligned to eastern US time (2pm to 10pm), you'll support the US team to ensure progression and execution … of the US data strategy, offering inputs and recommendations. You'll undertake data mining and enrichment using progressive methodology and research of external sources, and utilise your excellent communication skills to ensure clear and structured cross-border and team collaboration. You'll be proud of your growth More ❯

should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. Key job responsibilities Scoping, driving and delivering complex projects across multiple teams. Performing root cause analysis by understanding the data needs … pulling the data, and analyzing it to form and validate hypotheses. Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. Developing and implementing machine learning models and deep learning architectures to improve NLP systems. Collaborating with seasoned … STEM disciplines (Science, Technology, Engineering, Mathematics). 3+ years of relevant work experience in solving real-world business problems using machine learning, deep learning, data mining, and statistical algorithms. Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired More ❯

Experience in building models for business applications - Able to communicate highly complex concepts to a business audience. - Hands-on experience leading large-scale big data and analytics projects. - Experience applying theoretical models in an applied environment. - Experience diving into data to discover hidden patterns and conducting error/… deviation analysis. - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Amazon is an equal opportunities employer. We believe passionately … 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 More ❯

building models for business applications. Able to communicate highly complex concepts to a business audience. PREFERRED QUALIFICATIONS Hands-on experience leading large-scale big data and analytics projects. Experience applying theoretical models in an applied environment. Experience diving into data to discover hidden patterns and conducting error/… deviation analysis. Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Amazon is an equal opportunities employer. We believe passionately … 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 More ❯

regardless of title, we are committed to achieving ambitious goals and we have fun celebrating our wins. Anaplan is looking for a tenacious Senior Data Scientist to join our PlanIQ. This is a stellar opportunity to get involved in a highly visible, large scale SaaS cloud company. This role … responsible for the majority of time-based forecasting algorithmic core of Anaplan's platform. We create AI based solutions available to Anaplan's non-data scientist customers by developing engines that connect to customer data (without too many configurations or manual pre-process steps) and provide forecasts, predictions … from innovative idea inception through POC, to its implementation within customer facing products. Development includes working with cutting edge machine learning, deep learning and data manipulation techniques, data analysis and coding a wide variety of features to deal with different data types and meet the customer needs. More ❯

product management teams to identify long-term features and programs to enhance the seller and customer experience on the Amazon platform. Key job responsibilities Data analysis by writing ETL queries in SQL/Datanet platforms Highly proficient with MS Excel Enabling effective decision making by retrieving and aggregating data … and driving seller adoption Communicating complex analysis and insights to stakeholders and business leaders, both verbally and in writing Minimum requirements: 1+ years of data analytics or automation experience Knowledge of data pipelining and extraction using SQL Bachelor's degree Proficiency in SQL and Excel at a moderate … or advanced level Experience with data mining tools like SQL, SAS, SPSS, or similar Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need workplace accommodations or adjustments during the application and hiring process, including support for the More ❯

DESCRIPTION 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 … 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 … work requirements as well. BASIC QUALIFICATIONS PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science or other field related to algorithms and data (or equivalent experience). Excellent written and verbal communication skills. Experience with some programming language (Java/python/C++) Research experience in one More ❯

proven track-record of success in fast-paced payments technology environments with demanding timelines. The role will require strong technical skills across applications, infrastructure, data and security; an understanding of architectural trends such as microservices, cloud-computing and open source frameworks with a strong focus on innovation. At SwiftXccess … etc. Can write very solid prototypes or core components quickly. Strong service architecture and development experience with high performance and scalability. Technical background in data with deep understanding of issues in multiple areas such as data acquisition and processing, data management, distributed processing, and high availability is … required; experience in statistics, data mining, machine learning and operational excellence of production systems is a plus. Architecture design and development of large scale platforms and application with simple solutions. Deep knowledge and hands-on experience on big data and cloud computing technologies. In-depth knowledge of More ❯

Data & Analytics Consultant - (CRA/Scorecards) I’m helping one of the world’s great financial institutions recruit a Data & Analytics Consultant - to help develop scorecards. Consultants are responsible for providing external clients with analytical support and project analysis. This includes answering client queries related to data … involvement in analytical projects, for example, credit strategy development, model development and other bespoke analytics to solve client specific problems. The role involves using data mining tools and programming languages such as (SQL and Python) to prepare data for analysis and business decision making and also involves … delivering analytical and commercial solutions for internal and external clients. We need someone who can combine business requirements, existing processes and data knowledge to create analytical solutions. · Relevant numerical degree with a 2:1 or above · Experience in programming languages SQL and Python in a credit risk environment · An More ❯

Applied Scientist, you will: Design and implement novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to … productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) Communication skills to collaborate with cross-functional … novel problems in machine learning and automated decision-making. Key job responsibilities The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R More ❯

Applied Scientist, you will: Design and implement novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to … productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) Communication skills to collaborate with cross-functional … 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 developing and implementing deep learning algorithms More ❯

the promise of AI. GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules. GX AI assistants are designed for Individual Investors, Credit and Claims … analyzing, and synthesizing information applied to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills in both prototyping and developing individual solutions but also implementation and integration … production environment. Desired Skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as Hadoop, Spark More ❯

related field. Knowledge of programming languages such as C/C++, Python, Java or Perl. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Proficiency in coding and software development, with a strong … focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. PREFERRED QUALIFICATIONS 5+ years of building machine learning … models or developing algorithms for business application experience. Have publications at top-tier peer-reviewed conferences or journals. Track record of diving into data to discover hidden patterns and conducting error/deviation analysis. Ability to develop experimental and analytic plans for data modeling processes, use of strong More ❯

VaR), Stress testing scenarios and scenario analysis Understanding of the Market Risk Business domain and best practices. Experience in this domain specific technology and data architectures leveraging modern tools and data sourcing, transformation, analytics, and reporting technologies. Experience in implementing in-house and vendor solutions on premise and … on cloud including SaaS solutions that meet user requirements and mitigate operational risks. Experience in system integration to source and process data required to meet risk and regulatory processing and disclosures. Excellent communication skills with stakeholders at all levels including third parties with the ability to set and explain … Thorough understanding of IT controls and software development life cycle Working knowledge of Agile Scrum methodology and ability to manage Agile teams. Knowledge of data mining and analytics using tools such as Excel and SQL. Exposure to Business Intelligence tools such as Power BI Knowledge of the Software More ❯

Data & Analytics Consultant - (CRA/Scorecards) I’m helping one of the world’s great financial institutions recruit a Data & Analytics Consultant - to help develop scorecards. Consultants are responsible for providing external clients with analytical support and project analysis. This includes answering client queries related to data … involvement in analytical projects, for example, credit strategy development, model development and other bespoke analytics to solve client specific problems. The role involves using data mining tools and programming languages such as (SQL and Python) to prepare data for analysis and business decision making and also involves … delivering analytical and commercial solutions for internal and external clients. We need someone who can combine business requirements, existing processes and data knowledge to create analytical solutions. · Relevant numerical degree with a 2:1 or above · Experience in programming languages SQL and Python in a credit risk environment · An More ❯

related field. Knowledge of programming languages such as C/C++, Python, Java or Perl. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Proficiency in coding and software development, with a strong … focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. PREFERRED QUALIFICATIONS 3+ years of building machine learning … models or developing algorithms for business application experience. Have publications at top-tier peer-reviewed conferences or journals. Track record of diving into data to discover hidden patterns and conducting error/deviation analysis. Ability to develop experimental and analytic plans for data modeling processes, use of strong More ❯

and A/B test experiments, optimize and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through … training and optimization and model pruning - 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 in building machine learning models for business applications … 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 More ❯

or related fields Publications or patents in top-tier peer-reviewed venues Programming experience in Java, C++, Python, or related languages Experience with algorithms, data structures, parsing, optimization, data mining, distributed computing, high-performance computing Experience developing machine learning models for business applications Experience with natural language … processing and/or multi-modal data processing (e.g., images) PREFERRED QUALIFICATIONS Unix/Linux experience Professional software development experience Experience training and evaluating LLMs Amazon is an equal opportunity employer that values diversity and inclusion. We make hiring decisions based on experience and skills. Protecting your privacy is More ❯

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 … 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 … 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 More ❯

Senior Business Intelligence Engineer, EU Hardlines CX, IDQ & Marketing Job ID: Amazon EU SARL (UK Branch) Shape the future of online shopping through data-driven insights! Join our EU Hardlines analytics team where you'll combine Customer Experience analysis with Item Data Quality innovation to improve how millions … discover and shop for products. We're expanding our analytics charter into exciting new territory, and need an analytical mind who loves turning data into actionable insights. In this unique role, you'll investigate the full customer journey through deep-dive reports and comprehensive analysis. Working closely with product … action. Your analysis and recommendations will influence strategic decisions and drive real improvements to the shopping experience. If you're passionate about turning complex data into clear stories that solve real problems, and excited to learn from world-class teams while tackling new challenges, we want to talk to More ❯

customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps … field - 2+ years of building machine learning models or developing algorithms for business application experience - 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 neural deep learning methods and machine learning More ❯

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 More ❯

Senior Business Intelligence Engineer, EU Hardlines CX, IDQ & Marketing Shape the future of online shopping through data-driven insights! Join our EU Hardlines analytics team where you'll combine Customer Experience analysis with Item Data Quality innovation to improve how millions discover and shop for products. We're … expanding our analytics charter into exciting new territory, and need an analytical mind who loves turning data into actionable insights. In this unique role, you'll investigate the full customer journey through deep-dive reports and comprehensive analysis. Working closely with product managers, you'll analyse everything from search … action. Your analysis and recommendations will influence strategic decisions and drive real improvements to the shopping experience. If you're passionate about turning complex data into clear stories that solve real problems, and excited to learn from world-class teams while tackling new challenges, we want to talk to More ❯

effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be picked from shipper warehouses to … models are expected to be of production quality and will be directly used in production services. You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers, and Business Intelligence Engineers. You will participate in the Amazon ML community … charter, come join us! BASIC QUALIFICATIONS - 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 More ❯