9 of 9 Remote Permanent Data Mining Jobs

Data Engineer - SQL Developer Mostly Remote role - Must be able to travel to rugby office 1-2 times per month An established organisation is seeking a talented SQL Data Engineer to join a collaborative and forward-thinking data team. This role is ideal for someone who thrives on solving complex data challenges, enjoys working with diverse … data sources, and takes pride in building scalable, secure and high-performing data solutions. Key Responsibilities Design, develop and maintain SQL databases and data pipelines, ensuring reliability, integrity and optimisation. Create and enhance complex T-SQL queries to support reporting, analytics and system integrations. Develop and maintain data models, mapping processes and documentation to support enterprise … data architecture. Collaborate with analysts, data architects and technical teams to understand business requirements and deliver fit-for-purpose data solutions. Support the evaluation, design and implementation of data platforms and tools. Structure and prepare data for analytics, data mining, machine learning and application use. Manage and monitor ETL processes, data migrations More ❯

fostering an environment where staff and faculty are key contributors to UC's success. Job Overview Perform business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining to create high quality reports to be used for operational and executive level decision making in support of graduate education and research. This position is eligible for … for a specific workday(s) or the standard work week. Position will not include visa sponsorship now or in the future. Essential Functions Determine best practices and develop actionable data-driven insights and recommendations to support the organizational decision-making process. May be requested to create executive summaries, executive briefings and benchmark reports. Work with departments to define business … problems and questions; perform analysis. Provide technical writing support.Collaborate with data architect or application specialists to identify the data sources required to support an analytical project or development of a complex report. Research, collect, develop, and implement data analysis for gap, competition landscape, and infrastructure alignment.Utilize ETL tools to automate standard reporting.Evaluate various data sets, identify More ❯

someone in the small team of 4 and to come in during a period of change in the business and contribute to organisational readiness for cloud-based services and data platforms. Summary of responsibilities of the MI Reporting Analyst: Develop and maintain MI dashboards and reports using advanced Excel (Power Query, PivotTables, VBA). Write advanced SQL queries and … apply data mining to deliver actionable insights from complex datasets. Create wireframes and mock-ups to support stakeholder engagement and solution design. Lead testing of third-party systems, documenting outcomes and resolving issues ahead of business UAT. Manage BAU changes, including rate updates, data provision, and third-party service requests. Requirements of the MI Reporting Analyst: Experience … as a Business Analyst, MI Reporting Analyst or Data Engineer with skills in writing code using macros to extract data. Strong understanding of UAT and system testing and experience of completing a technical build. Skills in complex SQL for data extraction, transformation, and analysis and Power Query are essential. Experience in data mining to identify trends More ❯

Job Title: Data Scientist (Contract, Hybrid – London) Location: London (Hybrid: 2–3 days/week in office) Contract Type 6–12 months (Contract, possible extension) About The Role We are seeking a skilled Data Scientist to join our dynamic team on a contract basis. You will work closely with cross-functional teams to extract actionable insights from complex … datasets, build predictive models, and support data-driven decision-making. This is a hybrid role, offering flexibility while being actively involved in the London office. Key Responsibilities Analyze large, structured and unstructured datasets to identify patterns and trends. Develop, validate, and deploy predictive models using machine learning and statistical techniques. Translate business requirements into technical solutions and actionable insights. … Collaborate with business stakeholders, data engineers, and analysts to support analytics initiatives. Create dashboards, reports, and visualizations to communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the analytics lifecycle. Keep up-to-date with the latest developments in data science, AI, and machine learning. Required Skills & Experience Proven experience as a Data More ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a real impact. Here … you’ll collaborate with leading experts in data, AI, and technology to help clients harness the full potential of their data. We’re entering our next phase of growth and are looking for a skilled AI Engineer to broaden our engineering expertise — designing, programming, and training complex networks of algorithms to expand our AI programmes. What you'll be … doing In this role, you’ll evaluate and compare algorithm performance using large, real-world data sets. Design and implement machine learning algorithms. Undertake data mining from multiple sources to gain insights that accelerate algorithm and model performance. Play a pivotal role in supporting client objectives through AI-driven insights that enable better business decisions and strategic More ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a real impact. Here … you’ll collaborate with leading experts in data, AI, and technology to help clients harness the full potential of their data. We’re entering our next phase of growth and are looking for a skilled AI Engineer to broaden our engineering expertise — designing, programming, and training complex networks of algorithms to expand our AI programmes. What you'll be … doing In this role, you’ll evaluate and compare algorithm performance using large, real-world data sets. Design and implement machine learning algorithms. Undertake data mining from multiple sources to gain insights that accelerate algorithm and model performance. Play a pivotal role in supporting client objectives through AI-driven insights that enable better business decisions and strategic More ❯

Senior Expert Fraud Data Analyst Location: Solihull Salary: £45k - £55K Contract Type: Permanent Working Pattern: Full-time/Hybrid (3 office days, 2 work-from-home, Monday - Friday) Note : Candidates MUST come from a Financial Services background. Are you a data-driven fraud specialist who thrives on spotting patterns, preventing risks, and staying one step ahead of criminals … We're looking for a Senior Fraud Data Analyst to take a lead role in shaping fraud strategy, implementing cutting-edge prevention techniques, and using your analytical skills to protect millions. This is more than just a reporting role - it's about designing and delivering tactical and strategic initiatives that reduce fraud losses, influence policy, and have a real … What You'll Do Own and evolve the fraud detection and prevention strategy for your assigned product line. Use tools like SAS, SQL, or Python to mine and model data, detect trends, and develop fraud rules. Design and implement tactical initiatives to combat emerging fraud types. Translate fraud insights into operational policies and support cross-functional teams in delivery. More ❯

Senior Expert Fraud Data Analyst Location: Solihull Salary: £45k - £55K Contract Type: Permanent Working Pattern: Full-time/Hybrid (3 office days, 2 work-from-home, Monday - Friday) Note : Candidates MUST come from a Financial Services background. Are you a data-driven fraud specialist who thrives on spotting patterns, preventing risks, and staying one step ahead of criminals … We're looking for a Senior Fraud Data Analyst to take a lead role in shaping fraud strategy, implementing cutting-edge prevention techniques, and using your analytical skills to protect millions. This is more than just a reporting role - it's about designing and delivering tactical and strategic initiatives that reduce fraud losses, influence policy, and have a real … What You'll Do Own and evolve the fraud detection and prevention strategy for your assigned product line. Use tools like SAS, SQL, or Python to mine and model data, detect trends, and develop fraud rules. Design and implement tactical initiatives to combat emerging fraud types. Translate fraud insights into operational policies and support cross-functional teams in delivery. More ❯

up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive analytics to natural language processing, providing variety and challenge in your day … product functionality Key Skills Proficiency in Python and/or R for developing machine learning models. Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms like AWS, GCP, or Azure for deploying ML solutions. Knowledge of version control systems (e.g., Git) and CI … of hands-on experience as a Machine Learning Engineer or similar role. Proven track record of designing and deploying machine learning models in production environments. Solid understanding of statistics, data mining, and algorithm design. Experience in collaborating within agile teams to deliver project objectives and meet deadlines. Excellent analytical skills, with the ability to troubleshoot and optimize complex More ❯