26 to 50 of 62 Data Mining Jobs in London

regularly serve clients that operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania). Role: Statistical data processing (Data Mining) Artificial Intelligence (AI), including generative AI Predictive modeling using Machine Learning and Data Science techniques Time-series modeling … ARIMA and panel data models) and simulation models (Monte Carlo) Development, validation and audit of financial, risk, marketing and business-oriented models R&D projects Requirements: Recent graduates or final year students. Should desirably have knowledge of Artificial Intelligence modeling techniques (logit, GLM, time series, random forests, clustering, XGBoost ...

customers! We’re not about selling products - we want to solve problems and change lives through Monzo We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement … 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 ...

Title: Senior Data Scientist Contract Type: Fixed Term (6 Months) Working Pattern:3 days per week in office Location: London, UK (Farringdon) Pay: 500 to 750 per day Inside IR35 Are you ready to dive deep into the world of data and transform complex business challenges into actionable … insights? Our client, a leading organisation in the retail industry, is on the lookout for an enthusiastic and skilled Senior Data Scientist to join their innovative team! About the Role: As a Senior Data Scientist, you will play a pivotal role in harnessing the power of data ...

training of Machine Learning models. Experience in industry or a research lab working on machine learning problems and engineering workflows. Preferred Qualifications Experience with data analysis at scale, data visualization and data ingestion pipelines for training models. Experience with Large Language Models and notably Agents and Tools. … institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. ...

institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. … training of Machine Learning models. Experience in industry or a research lab working on machine learning problems and engineering workflows. Preferred Qualifications Experience with data analysis at scale, data visualization and data ingestion pipelines for training models. Experience with Large Language Models and notably Agents and Tools. ...

models used across the society, within capital, provisioning, customer decisioning and other business needs. What will you bring to the role? Previous analytical or data science experience within credit risk or broader financial institutions, with exposure to developing predictive models. Knowledge on principles of credit risk model development, including … statistical aspects (especially these which are used in Credit Risk-Basel modelling): Logistic-Linear Regression, Scorecard development model validation approaches (GINI coefficient KS- statistics) Data sampling Data mining model maintenance frameworks. Excellent analytical skills and a strong attention to detail. A qualification in a degree with relevant ...

Monzo is seeking a Senior Product Data Scientist to help build the bank of the future. You will focus on super-charging user engagement in 2025 and beyond, leveraging real-time analytics and Looker-powered insights to inform product strategy. You will work within cross-functional squads, applying quantitative … analysis, data mining, and data storytelling to understand user behavior and drive product improvements. The role supports UK-wide distributed working with some London-based collaboration. #J-18808-Ljbffr ...

London, Greater London, England, United Kingdom · Data Science C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications … suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI As a member of the C3 AI Data Science team,you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications ...

company is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph … turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The Team: The UK Value Engineering ...

Data Scientist at Cint, you will play a pivotal role in optimizing the Cint Exchange. Collaborating closely with product and engineering teams, you will deliver data-driven solutions to enhance the performance of existing products, inform the development of new offerings, and deepen our understanding of marketplace dynamics. … This role involves advanced data mining and analytics, robust product and data validation, and the development of statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain high-impact solutions that align Cint's capabilities with market ...

respected financial services companies (operates globally) requires an Analytics Consultant. As an Analytics Consultant you will play a pivotal role in Client Analytics within Data and Analytics. You will lead analytical and consultancy projects, including the design and development of complex modelling assignments utilising CRA data. You will have … delivering revenue. What You'll Do Our consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging CRA data assets Responsible for supporting the delivery of analytical projects. This includes credit strategy development, scorecard and model development to required quality standards and project ...

team is responsible for our largest Fortune500 customers and owns their transformation journey by working on the very frontier of what’s possible with Data and AI. Key Responsibilities As a Value Engineer - Banking & FS you are spearheading our mission of data-driven business transformation with our customers … Your skillset combines a strong understanding of technology at both strategic and practical levels with consulting skills around strategic thinking and program management. Requirements Data, Analytics, Applications & IT: Good knowledge of Business Software/SaaS applications (e.g. SAP), Hands-on SQL and/or Python skills,, experience in collaborating ...

Principal Bioinformatician grade and you will be working on drug development projects, playing a key role in generating biological insights from clinical stage omics data to support decision making across the therapeutic portfolio. Major responsibilities will include: Processing, analysing, and interpreting multi-omic (RNAseq, NGS, proteomic, etc) datasets from … clinical studies Deriving mechanistic, biological, and treatment related insights from patient-level data Developing and optimising analysis methods, pipelines, and computational workflows Ensuring reproducibility and best practice documentation for code and analyses Drafting high quality reports and contributing to scientific publications Applying SOTA (state-of-the-art) tools ...

business environment A day in the life You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and business value of your methods. You will … deliver your research into production systems. About the team Our team owns Prime Video observability features for development teams. We consume PBs of data daily which feed into multiple observability features focussed on reducing the customer impact time. Basic Qualifications PhD, or a Master's degree and experience ...

Cint is seeking a Data Scientist to optimize the Cint Exchange through advanced data mining, analytics, and machine learning methodologies. You will collaborate with product and engineering to deliver data-driven solutions that enhance existing products and inform new offerings. The role requires independent research … development of high-impact data solutions, with a focus on robust validation and step-change improvements in marketplace performance. #J-18808-Ljbffr ...

techniques to advance the state of the art in multi-modal models, with a focus on speech generation. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to build machine learning models that deliver natural, expressive, and culturally appropriate speech experiences across multiple languages. … research prototypes into production systems that serve customers at scale. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. You will mentor junior scientists, influence technical direction, and communicate results effectively to both technical ...

seeking a dynamic Product Manager at Associate Director level to join the Ipsos iris team, particularly adept in product management within a data-driven environment. This role requires working closely with data analytics, software developers, data science, and engineering, while maintaining interaction with industry bodies to discuss … product evolution, primarily focusing on the Ipsos iris reporting interface and related data advancements. This role sits in Ipsos’s Audience Measurement team that uses a deep understanding of people to make sense of audiences and how they consume media. We use these insights to influence media strategy, helping ...

cross-functional teams to identify high-impact automation opportunities and deliver solutions aligned with business needsApply full-stack engineering skills, including backend, frontend, and data engineering, to build robust, scalable, and maintainable systemsManage and guide contractor workers and/or vendor workers in the development and delivery of technical … support engineering, reliability engineering or related6+ years of experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, data mining, artificial intelligence, AI-Infrastructure, or related technical fieldBachelor’s degree in Computer Science, Computer Engineering, related technical field, or equivalent experienceExperience with ...

research questions, build experimental prototypes, publish influential work, and create defensible intellectual property. Research may span industrial foundation models for time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. … engineering, product, and teams. Preferred qualifications Experience working with industrial, manufacturing, energy, infrastructure, engineering, or scientific data. Recent publications at leading machine learning, AI, data mining, robotics, or systems venues. Experience developing models at scale or building complex research systems. Experience with simulation environments, digital twins, multimodal data ...

designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. … languages and ML pipelining tools. Experience in probabilistic modeling, uncertainty quantification, calibration, or reinforcement learning. Preferred Qualifications Experience with prediction markets, quantitative research, temporal data modeling, or real-world forecasting benchmarks. Familiarity with process-based reward modeling, automated design of agentic systems, or search/retrieval-augmented generation. Responsibilities ...

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 … 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 ...

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 … 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 ...

search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer … turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Minimum Qualifications Experience with coding in data structures, algorithms and software design. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam ...

Chemistry, Engineering, a related field, or equivalent practical experience. 5 years of experience in machine learning, engineering, and software development using Python. Experience with data structures or algorithms in an academic or industry setting. Preferred qualifications PhD in a relevant scientific or computational field. Experience in agentic … institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. ...

Supervise the payroll vendor's product build, ensuring everything aligns with the Blueprint document and local regulatory/compliance standards. Integration Management: Ensure seamless data flow and integration between Workday (WD), General Ledger (GL), banking systems, and HR/Time platforms. Testing & Quality Assurance: Design E2E test scenarios, define … expected results, and guide data mining efforts to ensure flawless payroll execution. Defect Resolution: Act as the primary Subject Matter Expert (SME) and point of contact for any defects or issues during implementation, providing root-cause analysis and rapid solutions. Cross-Functional Collaboration: Work closely with HR, Finance ...