176 to 200 of 455 Permanent Predictive Analytics Jobs

design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and More ❯

design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and More ❯

join our Digital Member Engagement and Experience team, reporting to the Senior Manager. The ideal candidate will have a strong background in data analysis, machine learning, artificial intelligence, and predictive analytics. This role requires a strategic thinker who can drive product development from ideation to launch, ensuring alignment with business goals and customer needs. Your role is vital in … in-app content and chatbot interactions Experience with segmentation models, next best action frameworks, and tailoring messages by risk level or program eligibility Ability to partner with data science, analytics and engineering to define data requirements and APIs for personalization engines Work with AI-driven recommendation models and feedback loops Develop and manage a comprehensive digital roadmap that supports … strongly preferred Requires at least 5 years of prior relevant experience in supporting products and implementations with a focus on data analysis, machine learning, artificial intelligence, and/or predictive analytics Requires expertise in data analytics, user experience design, and predictive modeling to enhance personalization and member engagement Requires strong project management skills and experience in More ❯

data exploration, preprocessing, and feature engineering to ensure high-quality inputs for modeling. Apply advanced data science methodologies to derive insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical modeling to support business strategies. Train, evaluate, and optimise machine learning models using frameworks such as TensorFlow or PyTorch. Lead and mentor … ML frameworks such as TensorFlow, PyTorch, and data libraries like NumPy, pandas, scikit-learn. Skilled in data wrangling, preprocessing, and managing large-scale datasets. Solid understanding of statistical modelling, predictive analytics, and time series analysis. Experience with data visualisation tools like Matplotlib, Seaborn, or Tableau. Salary: £525 per day #J-18808-Ljbffr More ❯

datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. Responsibilities: Produce data visualizations that provide insight into dataset structure and meaning Collaborate with subject matters experts (SMEs … testing Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics Develop statistical tests to make data-driven recommendations and decisions Develop experiments to collect data or models to simulate data when required data are unavailable … feature vectors for input into machine learning algorithms Identify the most appropriate algorithm for a given dataset and tune input and model parameters Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices) Evaluate individual analytic efforts and make recommendations in the analytic development process Recommend solutions that can scale More ❯

world challenges in the commercial real estate (CRE) space. Job Responsibilities Perform quantitative analysis to develop, enhance and expand Green Street's capabilities in commercial real estate forecasting, data analytics and other technical projects related to CRE Ability to collaborate effectively across multiple departments, including Market Analytics, Product and Technology teams Proficiently handle large databases and analyze complex … Engineering 2+ years of experience with Python and SQL for data analysis and manipulation Demonstrated experience in data cleaning, validation, and addressing data quality issues Experience developing econometric or predictive models using SAS or Python is a plus Prior experience in the CRE or CMBS industry is preferred This is a hybrid position, requiring time spent working in the … arrangements Company Overview and EEOC/Diversity Green Street is a forward-thinking real assets company at the forefront of transforming the commercial real estate market with cutting-edge predictive analytics, data-driven insights, and actionable intelligence. With over 40 years of expertise, Green Street empowers investors, lenders, banks, and industry stakeholders across the U.S., Canada, Europe and More ❯

our colleagues across the business. This exciting new role focuses on driving innovation within our engineering and maintenance operations, playing a critical role in executing our engineering data and analytics strategy. You'll join an established and growing team of Data Science professionals and be based within Engineering Technologies, who are leveraging the use of data-driven insights and … Engineering Technologies team, identifying and assessing opportunities for data-driven improvements in safety, efficiency, and cost management. Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our … value from that in our operations. Be committed to your personal and professional development, staying up to date with the latest trends and technologies in data science and engineering analytics Demonstrate awareness of and adherence to the appropriate regulatory and internal policy requirements. What you'll have: You'll have demonstrable experience in delivering data science initiatives, from rapid More ❯

our colleagues across the business. This exciting new role focuses on driving innovation within our engineering and maintenance operations, playing a critical role in executing our engineering data and analytics strategy. You'll join an established and growing team of Data Science professionals and be based within Engineering Technologies, who are leveraging the use of data-driven insights and … Engineering Technologies team, identifying and assessing opportunities for data-driven improvements in safety, efficiency, and cost management. Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our … value from that in our operations. Be committed to your personal and professional development, staying up to date with the latest trends and technologies in data science and engineering analytics Demonstrate awareness of and adherence to the appropriate regulatory and internal policy requirements. What you'll have: You'll have demonstrable experience in delivering data science initiatives, from rapid More ❯

and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We’re looking for someone who: Thinks like a data user, not just a data builder, with a strong sense of how to deliver real-world … part of a team where your work directly drives smarter decisions and impactful outcomes. Senior Software Engineer - WMS & Logistics Shirebrook, England, United Kingdom 3 days ago Senior Software Developer (Analytics Products) Nottingham, England, United Kingdom 1 week ago Senior ML Engineer (with strong software engineer focus) Nottingham, England, United Kingdom 3 hours ago #J-18808-Ljbffr More ❯

advantage through AI innovation. What You’ll Do: AI & ML Development – Build and deploy machine learning models using Azure ML, Python, and Databricks. Develop solutions for NLP, computer vision, predictive analytics, and recommendation systems. Solution Architecture – Design scalable, secure AI solutions using Azure Data Lake, Microsoft Fabric, and Databricks. Align AI strategies with business goals and collaborate across … . MLOps & Deployment – Implement CI/CD pipelines for ML models, ensuring reliable production deployments. Monitor model performance and integrate AI solutions with enterprise systems. Stakeholder Engagement – Translate complex analytics into actionable business insights. Communicate effectively with technical and non-technical stakeholders to drive AI adoption. Innovation & Leadership – Stay ahead of AI advancements within the Microsoft ecosystem. Mentor team More ❯

We are looking for a skilled Senior Cloud and Data Solution Architect in the UK (based out of London) with a strong delivery and solutions back ground in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within … Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least … design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational and analytical abilities. Good written and verbal communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. More ❯

data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our … water use, labor practices) Stay current with regulatory developments, industry standard methodologies, and emerging data trends Collaborate with your team and partners to improve scoring models with automation and predictive analytics Present findings and recommendations to senior leadership and internal partners Showcase clear progress with clear critical metrics Partner with Product and Engineering to ensure deliverables are well More ❯

of opportunities for staff to develop personally and professionally. As a Trust we are determined to be at the forefront of change, using tools such as machine learning and predictive analytics in the next stages of our journey. We offer hybrid working arrangements following a qualifying period, providing flexibility alongside this impactful role with a friendly and supportive … duties of the job The position available is a Divisional Information Manager in the Medicine & Urgent Care Analytical Team . The team provides accurate, concise and clear information and analytics to the division to support its strategic objectives. The ideal candidate will have strong analytical capabilities, along with the ability to effectively communicate and present complex information to a … pressure, and manage conflicting priorities for the team. See the attached job description for further information. About us Our multi-award winning BI Team aim to use data and analytics to make a real difference to the healthcare of the Gloucestershire population. Gloucestershire Hospitals is dedicated to nurturing the growth and potential of its staff. Within the BI team More ❯

from various systems (e.g., Beefherd, HubSpot, CTS, ScotEID, Xero). Identify and resolve data inconsistencies. Develop real-time dashboards and reports to track key performance indicators (KPIs). Provide predictive analytics and forecasting to support supply chain planning. Automate manual data collection and reporting processes to enhance efficiency. Ensure data compliance with regulatory standards and support financial forecasting. More ❯

a global, matrixed structure (Technology, Product, Service Delivery, and Client Success) Platform & Tooling Ownership Own the configuration, adoption, and continuous improvement of operational platforms (e.g. ServiceNow ITSM, CSM, Performance Analytics) Lead implementation of new intelligent tooling, including an enterprise chatbot and workflow automation solutions Manage vendor partnerships, platform roadmaps, and budget performance related to tooling and AI capabilities Oversee … a global Reporting Centre of Excellence to align data governance, quality, and reporting frameworks AI & Automation Enablement Build and scale a team focused on AI-led operational transformation (e.g. predictive analytics, smart routing, anomaly detection) Partner with data science and engineering teams to embed AI into service delivery workflows and client experience journeys Ensure all AI use cases More ❯

and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We’re looking for someone who: Thinks like a data user, not just a data builder – with a strong sense of how to deliver real-world More ❯

and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder – with a strong sense of how to deliver real-world More ❯

experience. Experience in dimensional data modelling, including: Capturing and reviewing business requirements, developing and reviewing conceptual and logical data models, troubleshooting and resolving model-related issues. Demonstrable expertise in analytics modelling: Predictive analytics, trend and correlation analysis, forecasting, outlier detection and exception reporting. Proven experience partnering effectively with senior business leaders. Proficient in data visualisation tools such More ❯

experience. Experience in dimensional data modelling, including: Capturing and reviewing business requirements, developing and reviewing conceptual and logical data models, troubleshooting and resolving model-related issues. Demonstrable expertise in analytics modelling: Predictive analytics, trend and correlation analysis, forecasting, outlier detection and exception reporting. Proven experience partnering effectively with senior business leaders. Proficient in data visualisation tools such More ❯

feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics: Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring: AI can evaluate creditworthiness more accurately More ❯

test. You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. You interpret and More ❯

test. You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. You interpret and More ❯

to identify trends, patterns, and opportunities for service transformation Support the department in embedding a data-driven culture that champions continuous improvement Explore emerging technologies, such as AI and predictive analytics, to enhance decision-making and service innovation Work collaboratively with stakeholders across the Council and with external partners to ensure that insight leads to action About You More ❯

design, including SQL development and database administration. Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and More ❯

design, including SQL development and database administration. Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and More ❯