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 predictiveanalysis 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 predictiveanalysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a More ❯
London, England, United Kingdom Hybrid / WFH Options
HipHopTune Media
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 predictiveanalysis 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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Peregrine
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 ❯
London, England, United Kingdom Hybrid / WFH Options
TieTalent
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 ❯
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, predictiveanalysis, 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, predictiveanalysis, 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, predictiveanalysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points 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.* **PredictiveAnalysis**: 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, Predictiveanalysis, 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, Predictiveanalysis, 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, Predictiveanalysis, Migration monitoring, Semantic recognition, Data lineage and Data Migration testing. Facts/Scale The data office has been established for nearly two 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, Predictiveanalysis, Migration monitoring, Semantic recognition, Data lineage and Data Migration testing. Facts/Scale The data office has been established for nearly two 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 ❯
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 ❯
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 ❯
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 ❯
London, England, United Kingdom Hybrid / WFH Options
Luupli
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 ❯
London, England, United Kingdom Hybrid / WFH Options
Evaluagent's
Auto-QA Scorecards: Develop tailored Auto-QA scorecards and dashboards that empower customers to proactively manage quality and performance. Uncover Trends: Use data and predictive analytics to identify trends, helping customers address potential issues before they arise and improve overall satisfaction. Customer Onboarding & Analytics Integration: Lead Analytics-Enhanced Onboarding … topics. Contact centre data is a plus. AI & Machine Learning Awareness: You have a good understanding of natural language processing (NLP), topic modelling, and predictiveanalysis within QA and CX. Customer Service Insight: You’re familiar with QA and CX and are comfortable using data to enhance quality 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 ❯
The role will focus on designing, analysing, and optimising the data and processes that underpin a business model. This role combines elements of data analysis, business strategy, and modelling techniques to create data-driven frameworks that help the Mini MBA team to improve forward budget planning and operational efficiency. … analysts and business leaders, to ensure data models align with business goals translate business needs into technical requirements for the data model project Data Analysis and Insight Creation: collect and analyse data from various sources to provide insights into customer behaviour, revenue trends, market trends and operational performance Identify … efficiency, gaps, or internal and external constraints develop financial projections using data to model revenue, costs, and profitability under different scenarios build prescriptive and predictive models using data analysis techniques simulate different scenarios to assess the impact of business decisions on financial and operational outcomes perform sensitivity analysisMore ❯
London, England, United Kingdom Hybrid / WFH Options
Northrop Grumman Corp. (AU)
data feeds for data science solutions. Design, code, test, correct and document moderate-to-complex programs and scripts. Experience in geographical information systems and predictiveanalysis 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 ❯