19 of 19 Predictive Analysis Jobs in the UK

from primary and secondary sources. Clean and preprocess data to ensure accuracy and completeness. Organize data into usable formats, including databases or spreadsheets. Data Analysis: Analyze datasets to identify patterns, trends, and correlations. Use statistical methods to provide insights and solve business challenges. Perform predictive analysis to … both technical and non-technical audiences. Work closely with cross-functional teams, including marketing, sales, finance, and IT. Understand business requirements to tailor data analysis efforts. Tool and Technology Utilization: Use software such as Excel, SQL, Python, R, Tableau, Power BI, or other analytics tools. Manage and maintain data … systems and databases. Stay updated on emerging trends and technologies in data analysis. Improve data collection and analysis processes. Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proficiency in statistical analysis and data visualization tools. Strong SQL skills and experience with More ❯

company's DNA. Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a More ❯

The role would work with junior team members in designing, developing, and delivering client solutions across multiple projects - leveraging competencies in statistical theory, data analysis and interpretation, regression analysis, machine learning algorithm development, deep learning, and natural language processing techniques. The individual must have a Master's or … to qualify for this role : Knowledge and Experience; Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques. Familiarity … Duties will vary according to the nature of the projects. These may include independently contributing to the preparation of study protocols, data manipulation and analysis, development of machine learning algorithms, application of deep learning and natural language processing techniques, and assisting with the interpretation and dissemination of findings. Candidates More ❯

help refine marketing activities, and drive business growth. Your role and responsibilities will include: Serve as marketing data analyst to provide key top-level analysis on campaign, segment and product performance, various levels of conversion and funnel tracking, and click stream analysis. Work closely with the Senior Marketer - Lead … to the campaign planning cycle for Local and Global Markets. Look at data from all areas of the business, developing and delivering customer-centric analysis and insights to drive predictive modeling, multi-channel, multi-market CRM programs across marketing and customer services in conjunction with the Global Head … of Marketing Operations and Senior Marketer - Lead Management. Support analysis of qualitative & quantitative information from various sources and combine it with internal behavioral data. Working across all teams, develop insights from numerous channels and platforms including email metrics, Google Analytics, Full Story, social media, and events platforms and share More ❯

Type: Contract • Requires commuting to Dublin once a month • Sector: Technology Required Skills: • LLM (Latent Log-linear Model) : Expertise in using LLM for advanced predictive modelling and analysis. • Data Bricks : Proficiency with Databricks platform for big data processing and analytics. • Machine Learning : Strong background in developing and deploying machine More ❯

Type: Contract Requires commuting to Dublin once a month Sector: Technology Required Skills: LLM (Latent Log-linear Model): Expertise in using LLM for advanced predictive modelling and analysis. Data Bricks: Proficiency with Databricks platform for big data processing and analytics. Machine Learning: Strong background in developing and deploying machine More ❯

multidimensional models, and an understanding of data lakes and Azure cloud platforms. A keen attention to detail to ensure accuracy and consistency in data analysis, reporting, and dashboards. A creative, self-driven approach with the ability to coordinate multiple tasks and deadlines while collaborating in a cross-functional, global … team environment. Qualifications: Experience : 5+ years in a data analysis role with a strong focus on Power BI and SQL. Data Storytelling Skills : Proven ability to turn complex data into clear, insightful narratives that resonate with stakeholders and empower them to make strategic decisions. Technical Proficiency : Expertise in Power … BI (including DAX and M languages), SQL, and data modelling techniques. Advanced Analytics : Familiarity with advanced analytics, including techniques like predictive modelling, regression analysis, and clustering, is a plus. Strong Communication : Exceptional ability to communicate data concepts to both technical and non-technical audiences. Attention to Detail : Keen More ❯

multidimensional models, and an understanding of data lakes and Azure cloud platforms. A keen attention to detail to ensure accuracy and consistency in data analysis, reporting, and dashboards. A creative, self-driven approach with the ability to coordinate multiple tasks and deadlines while collaborating in a cross-functional, global … team environment. Qualifications: Experience : 5+ years in a data analysis role with a strong focus on Power BI and SQL. Data Storytelling Skills : Proven ability to turn complex data into clear, insightful narratives that resonate with stakeholders and empower them to make strategic decisions. Technical Proficiency : Expertise in Power … BI (including DAX and M languages), SQL, and data modelling techniques. Advanced Analytics : Familiarity with advanced analytics, including techniques like predictive modelling, regression analysis, and clustering, is a plus. Strong Communication : Exceptional ability to communicate data concepts to both technical and non-technical audiences. Attention to Detail : Keen More ❯

strategies across the platform. Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies. Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc. Design and analyze experiments (A/B testing … SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI More ❯

strategies across the platform. Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies. Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc. Design and analyze experiments (A/B testing … SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI More ❯

Power BI, Linux, Airflow. An appreciation of the main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. More ❯

Power BI, Linux, Airflow. An appreciation of the main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. More ❯

spanning multiple sectors including Finance, Broadcast Media, Telecommunications and more. As a Network Operations Engineer, you will be involved in day-to-day support, predictive analysis, and troubleshooting the network infrastructure. The opportunity also requires close interaction with Infrastructure, Datacentre, and other Operations teams, giving broad exposure to … a variety of enterprise products and technologies. What you'll be doing: Monitoring the health of the network infrastructure, using polling and monitoring and analysis tools Reacting to alerts and providing resolutions to major incidents Investigating hardware and software problems and working with manufacturer support teams to resolve issues More ❯

Skills & Experience: Microsoft Azure expertise primarily using Azure Machine Learning. Extensive experience with Databricks, ML Flow, storytelling tools and techniques. Strong commercial experience creating predictive models, statistical analysis, and pricing analysis. Working with large data sets (real time, storage, and geo-spatial data). Writing and reviewing data … science code, proficient in Python, C#, SQL, R, or other programming languages for data analysis and machine learning. A background in data science or data engineering. Excellent communication skills. Strong appetite to work closely with customers. Additional Information: Rate: £500-550 (dependent on experience). IR35: Outside. Start date More ❯

to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent opportunity for a data-driven professional eager to make a significant impact in a cutting … engineering, product, and data teams. Monitor and assess model performance, iterating as needed to drive business value. Conduct A/B testing and impact analysis to assess pricing effectiveness. Ensure regulatory compliance while fostering innovation in pricing methodologies. What We’re Looking For Strong expertise in Python and SQL … for data analysis and model development. Experience with pricing models, actuarial techniques, or risk modeling. Deep understanding of machine learning algorithms, predictive modeling, and statistical analysis. Hands-on experience in automating and deploying machine learning models. Proven ability to translate complex data into actionable pricing insights. Excellent problem More ❯

to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent opportunity for a data-driven professional eager to make a significant impact in a cutting … business value. Ensure regulatory compliance while fostering innovation in pricing methodologies. What We’re Looking For Strong expertise in Python and SQL for data analysis and model development. Experience with pricing models, actuarial techniques, or risk modeling. Deep understanding of machine learning algorithms, predictive modeling, and statistical analysis. More ❯

transformation, manager, director, management, head of business intelligence, reporting, Power BI, business intelligence, DAX, Power BI Analyst, TM1, data ownership, FP&A, financial planning & analysis, finance, financials, Dynamics ERP, ERP, SAP, D365, finance manager, CIMA, ACA, ACCA, Accountant – UK Hybrid - £100-120k plus bonus and benefits The role … and capabilities to lead transformation, modernise and optimise financial processes in the organisation. This role requires a blend of strong financial accounting, planning and analysis expertise, collaboration, and influencing skills, along with a sound knowledge of business intelligence technologies, to drive strategic initiatives, champion automation, and enhance data governance … finance system-based reporting solutions. Standardise reporting templates and methodologies to improve consistency and usability across business units. Introduce advanced analytical capabilities, such as predictive models and scenario analysis, to enhance insight generation. Data Governance and Quality: Collaborate with IT, Group Accounting and Finance, and business unit FP More ❯

transformation, manager, director, management, head of business intelligence, reporting, Power BI, business intelligence, DAX, Power BI Analyst, TM1, data ownership, FP&A, financial planning & analysis, finance, financials, Dynamics ERP, ERP, SAP, D365, finance manager, CIMA, ACA, ACCA, Accountant – UK Hybrid - £100-120k plus bonus and benefits The role … and capabilities to lead transformation, modernise and optimise financial processes in the organisation. This role requires a blend of strong financial accounting, planning and analysis expertise, collaboration, and influencing skills, along with a sound knowledge of business intelligence technologies, to drive strategic initiatives, champion automation, and enhance data governance … finance system-based reporting solutions. Standardise reporting templates and methodologies to improve consistency and usability across business units. Introduce advanced analytical capabilities, such as predictive models and scenario analysis, to enhance insight generation. Data Governance and Quality: Collaborate with IT, Group Accounting and Finance, and business unit FP More ❯

customer segments based on evolving behaviours and lifecycle stages. Monitor and optimise email deliverability, integrating third-party tools where needed to enhance automation. Data Analysis/Reporting Analyse CRM and Loyalty data to generate actionable insights that inform strategic decisions. Define and track KPIs for CRM and loyalty campaigns … delivering regular performance reports to stakeholders. Build dashboards to visualise campaign performance, segmentation metrics, and customer behaviour trends. Conduct cohort and predictive analyses to understand customer behaviour and mitigate churn risk. Stay informed on industry trends and best practices, recommending data-driven innovations. Loyalty Define and execute loyalty campaigns More ❯