10 of 10 Permanent Data Mining Jobs in the City of London

Please note this is a training course and fees apply* Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. … Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the More ❯

Senior Data Architect - London - Hybrid - £100,000 - £110,000 My client is an agile, data-driven company who are continuing to expand their thriving data team. They are looking to hire a senior data architect with expert data modelling and technical experience across the full Azure data stack and Databricks. Salary and Benefits Competitive … office) Flexible working hours 26 days annual leave, plus bank holidays Private medical insurance Company pension scheme And many more Key Responsibilities Design and implement scalable database solutions and data models that enable efficient data storage, integration, and retrieval. Review and optimise database implementation processes to ensure compliance with GDPR and wider data governance standards. Develop conceptual … and logical data models, diagrams, and flowcharts to support solution design. Ensure all systems are aligned with established data architecture principles and best practices. Maintain a comprehensive understanding of the data platform landscape, ensuring risks are identified, documented, and managed. Deliver high-quality, consistent, and well-documented outputs across all phases of delivery. Define and guide the More ❯

Please note this is a training course and fees apply* Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. … Demand for Data Analysts has grown 20% year on year with experienced .All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Using our experience in providing data analysis and business analysis training online More ❯

Business Intelligence Engineer Hybrid – London Up to £400 a day Inside IR35 12 Months Key Skills: 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Key job responsibilities • Design, develop, and oversee the reporting … pipelines to onboard internal and external data sources provided metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL, Python, Spark, AWS Lambda, etc.) • Design, develop and optimize data visualization for the dashboards used across functional teams within XCM • Collaborate with stakeholders (marketing, advertising, engineering, and product management) to understand business domains, requirements, and expectations and reflect … these on the onboarding of new features for current and future business intelligence roadmap of XCM • Work closely with owners of data source systems to gain insights into their capabilities and limitations • Deliver minimally to moderately complex data analysis to support business needs • Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs More ❯

Senior Data Architect Location: Central London Hybrid: 2 days On-site Salary: £100k-£110k Overview Join our client, a global leading ranking and insights intelligence company, as a Senior Data Architect and shape the future of our data ecosystem. We are seeking a seasoned professional to take a leading role in designing and evolving the backbone of … our data architecture. This strategic position will leverage your technical expertise to influence everything from high-level conceptual models to optimized, scalable solutions. You will drive the development and implementation of modern data systems aligned with our long-term vision, ensuring our data infrastructure is robust, future-ready, and delivers real business impact. Main Duties and Responsibilities … Design and implement effective database solutions and models to store and retrieve company data. Assess database implementation procedures to ensure compliance with GDPR and data governance standards. Design conceptual and logical data models, flowcharts, and visual representations of data processes. Advise project teams and oversee management of the full data production lifecycle. Ensure systems are designed More ❯

will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization … opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot … and applications . Security and Compliance: Ensure all AI solutions comply with security best practices and AI governance frameworks . Essential Skills & Experience: Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or More ❯

About Tredence Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the … engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data. Role Overview As a Client Partner , you’ll work hand-in-hand with senior leaders to nurture and … and create lasting impact by helping our clients achieve their business goals You will act as the bridge between business, delivery, and solution teams — ensuring that advanced AI and data-driven solutions translate into measurable business impact for global retail clients. Key Responsibilities Client Relationship Management Serve as the primary point of contact for day-to-day client interactions. More ❯

client is a globally recognized technology company near Shanghai, China, known for turning advanced digital capabilities into reliable, production-grade solutions across multiple industries. Cross-functional teams in research, data, and product work together on modern R&D programs and scalable platforms to translate complex data into tangible business impact. This role starts in March 2026 with a … example, workshops, pilot activities, or factory trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation. Key Responsibilities • Conduct research and hands-on development in data mining, machine learning, and applied modeling. • Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring. • Work with data engineering to ensure data quality … uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. • Ideally 3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced analytics (industry or More ❯

at scale. Collaborating with researchers to identify failure modes and create robust solutions. What we’re looking for 2+ years’ hands-on experience in ML/AI (recommendation systems, data mining, or similar). Proven track record of building or deploying GenAI/LLM systems into production. Strong Python skills, with experience in PyTorch or TensorFlow . Understanding More ❯

team. Equity options 25 days holiday + bank Pension matched to 7% Work abroad for up to 3 months Are you looking to be part of a world-class data lead organisation who are continuously moving forward with the latest AI trends? This company is a true innovator in building data driven products using machine learning, computer vision … natural language processing, speech and audio, and knowledge/data mining. This person will be a senior engineer who will help both define and build the companies. In the role you will be building large scale machine learning systems, apply the latest techniques whilst working with an elite team of researchers and engineers. No day will be the same … rest of the team and organisation. What do you need? Not necessarily the title, we know in the world of AI Engineering you may come from a background of data science, engineering, machine learning although what is key is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience working More ❯