... reports, data models, and workflows for accuracy, usability, performance, and maintainability. What You Bring - 5+ years of relevant experience in business analytics, business intelligence, data analytics, or data modeling. Experience supporting Finance, Revenue, Go-to-Market, or other enterprise business functions is preferred. ...
... Production Scheduling and Control Tower Implement solutions using Kinaxis O9 Blue Yonder or SAP IBP Drive SCM transformation projects leveraging AI ML and predictive analytics B Manufacturing Oracle C onsultant Responsibilities Implement Oracle Cloud Supply Chain or Oracle R12 modules Inventory Purchase WIP Order Management ...
... network observability platform. Work with data scientists and engineers to develop and implement AI models for anomaly detection, root cause analysis, and predictive analytics. Work with UX designers to create intuitive and useful user interfaces. Bachelor's degree in Computer Science, Engineering, or a related field (Master's ...
... experienced contributor, you will use data, statistical techniques and business understanding to solve problems and support decision-making.- This is a broad analytics role requiring strong data science foundations.- Your work will include exploratory analysis, segmentation, predictive modelling, hypothesis testing, automation ...
... businesses of the bank including retail, small business and corporate to drive analytics. In terms of functions, the department has teams focused on all aspects of analytics for the bank including risk analytics, financial crime analytics, business and marketing analytics, building predictive scores, data engineering and business ...
... operations, process engineers, and business https://jobeax.com/link/6U7APnuJYoFalW9N Skills :- Machine Learning and Advanced Analytics, Statistical Modeling and Predictive Analytics, Optimization Techniques and Prescriptive Analytics.- Python, SQL, Databricks and Azure.- Industrial Data Analytics and Process Monitoring.- Root ...
... teams to provide data-driven insights that align with business objectives, ensuring actionable outcomes. AI & Data Insights: Apply machine learning models and predictive analytics to identify patterns, improve decision-making, and automate reporting. Break down complex problems into structured analysis, and communicate insights ...
... foundation in mathematical optimisation, operations research, and statistics.- Strong expertise in machine learning, deep learning, statistical modelling, predictive analytics, and experimentation.- Hands-on experience with optimisation frameworks, including Pyomo, OR-Tools, Gurobi, and/or CPLEX.- Hands-on experience with ...
... search/answer systems, in addition to on-site experience, engagement, and conversion optimization. - Experience with AI-driven marketing tools, including predictive analytics, personalization, and content optimization. - WordPress, Webflow, HubSpot CMS) sufficient to brief or implement CRO test variants. - Lead high-impact ...
... data tools and frameworks to optimize data acquisition and preparation. Build architectures to move data to/from data lakes and data warehouses for advanced analytics. Develop and curate data models for analytics, dashboards, and reports. Conduct code reviews, maintain production-level code, and implement testing approaches. ...
... approved schedule, budget and resource constraints. The position shall provide strategic support to the Project Director through data-driven decision-making, predictive analytics, schedule forecasting, resource optimization, delay mitigation and performance management. The Senior Project Controls Manager shall act as the central ...
... Analytics - Drive AI-Enabled Software Development: Champion the adoption of AI across the SDLC, identifying and scaling innovative ways to accelerate data analytics across Xometry Analytics & Business Insights - Define metrics to measure product and business performance. - Analyze data to identify opportunities, issues, ...
... locations i.e. Mumbai, Gurgaon, Hyderabad and GIFT. Individual will be closely working with teams across Consumer and Small Business Card portfolios, Digital Analytics, Consumer Credit Strategies team providing qualitative and quantitative analytical support to Consumer Credit Borrowing Strategies team on the state side. ...
... initiatives and guide a team of data professionals in developing scalable, impactful solutions. The ideal candidate will have deep expertise in machine learning, predictive analytics, and cloud-based model deployment (preferably on Google Cloud Platform – GCP). This role involves leading end-to-end data science projects from problem ...
... web). Conduct usability validation and gather field/user feedback to refine flows. AI/ML Feature Development Partner with Data & AI teams to conceptualize predictive and automated capabilities. Collaborate with Deployment, Operations, Engineering, Analytics, Data, Training, and Vendor teams. Support UAT planning, training ...
... context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The Data Analytics and Transformation team encompasses the Data Engineering, Semantics, Data Science, Strategic Intelligence and Business Transformation functions. The team provides ...
... into unified analytical environments.- Partner with business leaders to identify key performance indicators and translate these into automated dashboards and predictive models that drive operational efficiency.- Lead the end-to-end lifecycle of analytics projects, ensuring that deliverables are aligned with business objectives ...
... analysis.- Design data integration architectures connecting ERP, CRM, and third-party platforms via APIs, messaging (Service Bus / Event Hub), and ADF.- Support analytics delivery by preparing clean, reliable data layers for Power BI or Azure Synapse Analytics https://jobeax.com/link/1kcJ6GRkyiQhz2At, Collaboration & Leadership ...
... AI/ML solutions. - Design and build data pipelines, model training/deployment workflows, and monitoring processes (MLOps/LLMOps). - Develop AI/ML models (predictive analytics, anomaly detection, conversational AI, generative AI) using Python, R, or Java and frameworks such as TensorFlow, PyTorch, Scikit-learn. - Integrate ...