7 of 7 Analytics Jobs in Abingdon

services (e.g., AWS SageMaker, Azure ML) Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised ...

Desirable Skills Knowledge of geological or subsurface data domains Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Experience with database virtualisation, including DecisionSpace integration ...

platform. In this role, you'll design and optimise scalable data pipelines and models that bring data from core business systems into Snowflake, enabling analytics, reporting, and data-driven insights across the organisation.You'll translate strategic data architecture into robust technical solutions, ensuring the platform is reliable, performant, and well … future AI/ML capabilities. Key Responsibilities Data Engineering Delivery: Build and maintain high-quality data pipelines and models in Snowflake to support analytics and reporting needs. Architecture Implementation: Apply defined data architecture standards to ingestion, transformation, storage, and optimisation processes. Pipeline Development: Develop robust ELT/ETL workflows using ...

development and evolution of a modern enterprise data platform. This strategic, hands-on position involves architecting and optimising scalable data pipelines to support advanced analytics, AI/ML initiatives, and actionable insights across the organisation.You'll take full ownership of the Snowflake platform implementation and adoption, ensuring it becomes … develop data engineers and analysts in best practices and technical excellence. Stakeholder Collaboration: Work closely with business teams to deliver scalable data products for analytics and emerging ML initiatives. Monitoring & Reliability: Establish monitoring, alerting, and cost management strategies to ensure resilience and predictable spend. What You'll Need to Succeed ...

development and evolution of a modern enterprise data platform. This strategic, hands-on position involves architecting and optimising scalable data pipelines to support advanced analytics, AI/ML initiatives, and actionable insights across the organisation click apply for full job details ...

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that … patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. Data Science Leadership: Mentor team members, present insights clearly ...

including Data Factory, SQL, Java and C#. You'll work on new initiatives including application development using Oracle APEX and data analysis in Oracle Analytics Cloud and AutoML as well as supporting existing systems. Your Responsibilities Assist in developing and maintaining integrations between Oracle EBS and internal/external systems … desire to learn and develop skills Comfortable working in a remote environment with distributed teams Knowledge of other technologies including C#.Net, Oracle APEX, Oracle Analytics Cloud and SQL Server Integration Services would be advantageous RPS, a Tetra Tech company RPS, part of Tetra Tech since January 2023, is a global ...