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 ❯
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 ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Cooper Moss Rutland LLP
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 ❯
with an understanding of both model evaluation and productionisation challenges. Expertise in statistics, hypothesis testing, sampling techniques, and anomaly detection, along with experience applying predictive modelling and regression analysis. Excellent communication and stakeholder management skills, with the ability to juggle multiple projects and guide cross- functional teams through ML More ❯
analytically driven Business Insights Managerto generate actionable insights that influence leadership decisions, improve service experience, and reduce operational costs. This role combines advanced data analysis, statistical modeling, and AI to deliver clear, forward-looking insights that guide strategic direction and service transformation across the organization. As a Business Insights … Generate business insights by analyzing service performance, customer behavior, and operational metrics to support leadership in data-driven decision-making. Use statistical modeling and predictive analytics to uncover trends, identify root causes, and evaluate the potential impact of initiatives. Apply AI and machine learning techniques to enhance decision support …/Product & Tech enhancements. Drive a data-informed culture by championing the use of insights and analytics in everyday decision-making. Build and apply predictive models and AI-driven insights to automate repetitive tasks and improve first-contact resolution. Partner with cross-functional teams to align insights with business More ❯
a closely related field. Machine learning expertise : Strong foundation in machine learning and deep learning algorithms (e.g., deep neural networks, supervised/unsupervised learning, predictiveanalysis, forecast modelling). Programming proficiency: Excellent Python programming skills with experience in developing and debugging production-level code. Bonus points: Deep learning More ❯
a closely related field. Machine learning expertise : Strong foundation in machine learning and deep learning algorithms (e.g., deep neural networks, supervised/unsupervised learning, predictiveanalysis, forecast modelling). Programming proficiency: Excellent Python programming skills with experience in developing and debugging production-level code. Bonus points: Deep learning 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. We are committed to creating 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, predictiveanalysis, 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 ❯
looking narratives and leverages behavioral experimentation to unlock organizational value. This roles' work informs not only how we retain and grow talent, but also predictiveanalysis to increase productivity across our teams. Reporting to the Talent Systems & Strategy Lead, this role stays deeply connected to business needs, delivering More ❯
Responsibilities Collect, structure, and analyse client data to ensure consistency and accessibility. Validate metrics and enhance data quality for accurate reporting. Produce claims portfolio analysis, including root cause and performance insights. Lead data flow projects and coordinate with internal and external stakeholders. Act as product owner for claims analytics … tools and develop project roadmaps. Use statistical tools to identify patterns for diagnostic and predictive analysis. Support audits, due diligence, and regulatory reporting, including loss runs. Contribute to strategic initiatives (e.g. conduct risk, KPIs, consumer duty). Skills & Experience Required: Strong skills in data analysis, interpretation, and reporting More ❯
They currently trade Soccer, Tennis & Horse Racing, but are open to those with different sports modelling/trading experience. This role combines expertise in predictive modeling and data analysis with insights from the sports domain to create competitive models. This is an opportunity to work remotely and independently … strategies. My client is seeking quants/modellers to come on board and apply these models remotely, finding niches in different sports. Responsibilities: Designing predictive models for sports outcome forecasting Back-testing and refining models Collaborating with the trading team Working in a fast-moving environment Utilizing a modern More ❯