1 to 25 of 32 Predictive Analysis Jobs in London

edge Observability Platform to support metrics, logs, traces, and events at scale. Integrate ML/AI-driven solutions to enhance anomaly detection, root cause analysis, and predictive insights. Lead the development and adoption of platform capabilities to ensure system health, reliability, and performance. Establish and evolve platform standards … SLOs, and SLIs for observability services to support reliability engineering practices. Continuously improve MTTD and MTTR by leveraging advanced AI/ML models for predictive analysis and automated responses. Mentorship and Collaboration Act as a mentor and technical leader for engineers, fostering a culture of learning, innovation, and … Stack). AI/ML Proficiency: Hands-on experience integrating ML/AI models into observability systems to drive advanced insights, anomaly detection, and predictive analysis. Distributed Systems Knowledge: Strong expertise in designing scalable and reliable systems for high-throughput data collection and processing. Programming Skills: Proficiency in one 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 ❯

our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed … Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points More ❯

our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed … Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points More ❯

our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed … Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points More ❯

Experience with VCS Experience with CI/CD Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target More ❯

Join Nokia as a Senior Data Scientist, where you'll leverage cutting-edge technologies to transform crude data into actionable insights. Your expertise in predictive analytics will drive impactful analyses, enabling data-driven decision-making across the organization. You will integrate and centralize diverse data sources while ensuring robust … Product Management, Customer Interface, and business lines.* **Problem-Solving & Efficiency**: Lead serious issue resolution, seek cost-efficient solutions, and foster change in the environment.* **Predictive Analysis**: Apply deep expertise in predictive analytics to deliver insights and solutions.* **Planning & Organization**: Contribute to resource planning, work estimation, and process More ❯

and leverage the benefits of AI inc Generative AI to support Data Quality Assessments, Data mapping, Transformation, Anonymisation, Data validation, Optimisation of Migration paths, Predictive analysis, Migration monitoring, Semantic recognition, Data lineage and Data Migration testing. Facts/Scale The data office has been established for nearly two … from multiple sources, including internal databases, external vendors, and APIs. Perform data cleaning, transformation, and standardization processes to ensure data accuracy and consistency. • Data Analysis, validation and Interpretation: Utilise tools to perform data analytics, including data blending, analysis, and modelling. Collaborate with business stakeholders to understand their requirements … and translate them into data analysis tasks. • Problem Solving and Testing: Technical skills to use data to support investigations and testing, understand how to get root cause of problems, working with SMEs and team members. Review and recommend improvements to processes, data, controls to support improving the Bank. • Semantic More ❯

and leverage the benefits of AI inc Generative AI to support Data Quality Assessments, Data mapping, Transformation, Anonymisation, Data validation, Optimisation of Migration paths, Predictive analysis, Migration monitoring, Semantic recognition, Data lineage and Data Migration testing. Facts/Scale The data office has been established for nearly two … from multiple sources, including internal databases, external vendors, and APIs. Perform data cleaning, transformation, and standardization processes to ensure data accuracy and consistency. • Data Analysis, validation and Interpretation: Utilise tools to perform data analytics, including data blending, analysis, and modelling. Collaborate with business stakeholders to understand their requirements … and translate them into data analysis tasks. • Problem Solving and Testing: Technical skills to use data to support investigations and testing, understand how to get root cause of problems, working with SMEs and team members. Review and recommend improvements to processes, data, controls to support improving the Bank. • Semantic More ❯

Social network you want to login/join with: Conduct descriptive analysis, generate insights, manage and implement projects, and contribute to the creation of reports and management information. Function: Chief Operations Office (COO) Report to: Head, Analytics & Management Information Role Purpose: Provide operational performance data insights and analysis … customer experience. Key Accountabilities: Recommend process/system changes based on data analytics. Communicate with stakeholders across operations to understand requirements and provide data analysis accordingly. Provide data insights for different projects to enable right decisions. Deliver customer-specific reports and analysis for Ops SMT review meetings with … Online. Deliver customer segmentation within network operations. Skills & Experience: Individual contributor with expertise and hands-on experience in Data Science (AI/ML/Predictive Analysis/Gen AI), Python, SQL. Experience with Scikit-learn, Keras, TensorFlow, or PyTorch. Excellent knowledge of SQL (complex queries). Proficiency in More ❯

You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your role will also involve predictive analytics, root-cause analysis, risk management collaboration, and ensuring compliance with industry standards. Proficiency in tools like Power BI, SQL, and Python, along … performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and … and best practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability More ❯

expanding daily. The Opportunity We’re looking for an innovative, proactive, Junior Carbon Data Scientist to help us to streamline our data collection and analysis process, transforming small and large datasets into manageable formats for import into our software. You’ll also be supporting on the design and automation … of data pipelines, building predictive models, and piloting new tools. We’ll teach you the environmental context - your superpower is data, code, and a knack for creating reliable, repeatable solutions. We’re looking for you to support: Data driven carbon footprint measurement (Scopes 1, 2 & 3) Workflow innovation - finding … and implementing more efficient, automated ways to handle large, messy datasets Support with automated reporting via templates, APIs or lightweight scripts Predictive modelling & scenario analysis to help clients plan net-zero pathways You’ll be our in-house champion for improving offline data processes, standardising imports into our More ❯

expanding daily. The Opportunity We’re looking for an innovative, proactive, Junior Carbon Data Scientist to help us to streamline our data collection and analysis process, transforming small and large datasets into manageable formats for import into our software. You’ll also be supporting on the design and automation … of data pipelines, building predictive models, and piloting new tools. We’ll teach you the environmental context - your superpower is data, code, and a knack for creating reliable, repeatable solutions. We’re looking for you to support: Data driven carbon footprint measurement (Scopes 1, 2 & 3) Workflow innovation - finding … and implementing more efficient, automated ways to handle large, messy datasets Support with automated reporting via templates, APIs or lightweight scripts Predictive modelling & scenario analysis to help clients plan net-zero pathways You’ll be our in-house champion for improving offline data processes, standardising imports into our More ❯

Bing Ads, Facebook Ads, Pinterest, Amazon Ads, Amazon DSP, and The Trade Desk. Experience with advanced marketing analytics for Marketing Mix Modelling, Forecasting, and Predictive Analysis. Experience with data transformation and parsing using SQL queries, Python, or R. Experience with cloud data warehouses (e.g., Snowflake, BigQuery), visualization tools (e.g. More ❯

driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL … processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data … driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics More ❯

driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL … processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data … driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics More ❯

teams, and develop data-driven solutions to support business growth. Responsibilities Work with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and … machine learning techniques for predictive and segmentation analyses. Create dashboards and KPIs using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate with data engineers on data architecture, quality, and governance in AWS. Requirements Bachelor's or master's in Computer Science … AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem More ❯

solutions and recommendations, shaping our data strategy to support business growth. Responsibilities Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for diverse data sources. Apply … statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance. Requirements Bachelor's or master's degree in More ❯

data feeds for data science solutions. Design, code, test, correct and document moderate-to-complex programs and scripts. Experience in geographical information systems and predictive analysis is a bonus. Security clearance: You must already hold the highest level of UK Government security clearance. Why join us? A mission More ❯

analytics and insights to support strategic initiatives and operational performance Develop and maintain dashboards, reports and visualisations to communicate key trends and findings Conduct predictive modelling and scenario analysis to inform long-term business planning Act as a trusted data partner for business leaders, translating data into actionable … d like to see from you: Proficiency in SQL, advanced Excel, and data visualisation tools like Power BI or Tableau. Strong experience in statistical analysis and programming using tools like Python or R for advanced data manipulation, automation, and analysis. Exceptional ability to identify trends, provide actionable insights, and More ❯

analytics and insights to support strategic initiatives and operational performance Develop and maintain dashboards, reports and visualisations to communicate key trends and findings Conduct predictive modelling and scenario analysis to inform long-term business planning Act as a trusted data partner for business leaders, translating data into actionable … d like to see from you: Proficiency in SQL, advanced Excel, and data visualisation tools like Power BI or Tableau. Strong experience in statistical analysis and programming using tools like Python or R for advanced data manipulation, automation, and analysis. Exceptional ability to identify trends, provide actionable insights, and More ❯

support efforts to improve the employer experience, and in turn, help deliver better outcomes for our members. What you’ll do: Produce clear, actionable analysis and reporting—interpreting trends, patterns, and conducting complex statistical analysis on large, multi-source datasets. Contribute to interactive dashboards, slide decks, and data … statistical analysis. These include: R, Python, SQL, Power BI, and Google Analytics — alongside incorporating other tools such as large language models (LLMs) into data analysis and narrative building where appropriate. If you're data-led, impact-driven, and keen to improve people’s financial outcomes through evidence and insight … better retirement for millions. The department includes: Analytics – taking data and creating value for the organisation, understanding our customer and our business; doing descriptive, predictive, and prescriptive behavioural analysis and modelling to help Nest make decisions. Data – planning and delivering how we manage high quality data as an More ❯

inquisitive mind who is driven to discover more about the domain they operate in. Has demonstrable experience in these core areas of capacity management: Predictive analysis (relating demand to consumption). Performance impact – assessing how resource consumption impacts performance targets and SLAs (e.g., response time and throughput). More ❯

best use of available data to deliver against the client vision. On a day-to-day basis you will take ownership and leadership of analysis projects, delivering them to a high degree of accuracy and take a role in presenting results and insights to clients. This is predominantly a … team. Skills and experience 3+ years working in a marketing or related field as an analyst or senior analyst Experience of coding languages for analysis (Python & SQL preferred) Experience of platforms such as Salesforce Experience of developing wireframes and creating dashboards High level Microsoft Word, Excel and PPT skills … translate business needs and requirements to analytical methods and outputs Good written and verbal communication skills High level analytical skills in relation to performance analysis Experience of devising, implementing and managing reporting dashboard design, update and automation using tools such as PowerBI, Tableau and Looker Studio Good knowledge of More ❯

Manager/Power BI to leverage advanced Controls Analytics solutions, develop dashboards, monitor KPIs, and provide actionable insights for project success. Your role involves predictive analytics, root-cause analysis, risk management, and ensuring industry compliance. Proficiency in Power BI, SQL, Python, and familiarity with PRISM or Primavera are … tracking Impactful role in a small, dynamic team Recognition and reward for achievements Key Responsibilities: Develop and manage dashboards and reports for project health analysis Create predictive analytics models and conduct root-cause analyses Collaborate on risk modeling and integrate risk impacts into forecasts Engage with stakeholders to More ❯