1 to 25 of 48 Predictive Analytics Jobs in the South East

of experience in data analysis, statistical modeling, and data visualization. The ideal candidate will have a strong background in data analysis, including data mining, predictive analytics, and data visualization. The Technical Data Analyst will be responsible for analyzing and interpreting complex data sets, developing statistical models, and creating … data visualizations to inform business decisions. Key Responsibilities: 1. *Data Analysis*: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regression analysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data … 10+ years of experience in data analysis, statistical modeling, and data visualization. 2. *Data Analysis Knowledge*: Strong understanding of data analysis, including data mining, predictive analytics, and data visualization. 3. *Statistical Modeling Knowledge*: Strong understanding of statistical modeling, including regression analysis, time series analysis, and machine learning algorithms. More ❯

become the best and biggest player in the UK market. As a company, we've made huge investments in our technology, pricing, data and analytics capabilities over the past few years, along with nurturing our 4Cs culture and substantial investment in our people. And as a Finance team, we … Providing insight to the Contact Centre Leadership Team on all contract centre activity, ensuring they can answer questions, solve problems and make decisions Using analytics skills and tools, and historic data, to produce predictive analytics around customer interactions within the contact centre Linking multiple data sources to … best practices in data analysis, insight and BI tool usage Essential skills we would love you to have: Experience of producing high quality data analytics, predictive analytics and insight with the ability to work with large data sets and significant amounts of information Strong technical knowledge (essential More ❯

Join Wireless Logic as a Product Manager! As a Product Manager in our AI & Analytics Experiences Squad , you will be responsible for defining, developing, and driving AI-powered solutions that turn IoT data into strategic business insights. Your work will shape how businesses monitor, optimise, and automate their IoT … environments using real-time analytics, predictive intelligence, and AI-driven automation. You will work alongside a cross-functional product squad , including engineers , data scientists , designers , and researchers , to discover and deliver products that are valuable, viable, usable, and feasible. The Product Manager will champion customer needs, translate market … that focuses on solving real customer problems and delivering tangible business outcomes. As part of this transformation, we are building a cutting-edge AI & Analytics platform that will enable businesses to harness the power of predictive intelligence, generative AI, and sustainability-focused analytics. To drive this forward, we More ❯

that create operational efficiencies and business impact. Leading a high-performing team, you'll shape a data-driven culture, ensuring our platforms, reporting, and analytics capabilities evolve to meet the needs of a growing, multi-brand business. Why Join Us? Lead Data Transformation: Develop and execute a business-wide … making Build and Optimise Infrastructure: Oversee data platforms, architecture, and governance, ensuring scalability, security, and performance Drive Business Performance: Deliver insightful reports, dashboards, and analytics that support key KPIs across multiple brands Develop a High-Performing Team: Lead and mentor data analysts and engineers, fostering a collaborative and innovative … environment Stay Ahead of Trends: Explore AI, machine learning, and predictive analytics to enhance decision-making and operational efficiency What You Can Offer Proven experience in a similar role, having a strong software engineering background coupled with commercial acumen to be able to guide business stakeholders and translate More ❯

Director of Data Science and Analytics Hybrid Model - 3 Days The Company: My client, a growing telecommunications company recently acquired by a dynamic private equity firm, is entering an exhilarating phase of expansion and innovation. This is your chance to join a company that's poised to revolutionize the … a generative AI strategy to leverage the latest advancements in AI for innovative solutions. Lead and mentor project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Oversee customer analytics projects, including segmentation … drive strategic business insights. Optimize propositions for services such as network plans and customer support, ensuring alignment with business goals. Enhance product and service analytics efforts, including network optimization, to maximize business performance. Collaborate with senior leadership to develop and execute detailed plans for solution delivery, ensuring alignment with More ❯

technical expertise relevant to Digital Workplace solutions with a focus on smart building solutions Deliver Intelligent Building and Workspace design leveraging system orchestration solutions, analytics, automation, digital twin, and IoT systems Support development of Digital Workplace capabilities as a SME in the area of Digital Twin technologies, Intelligent Buildings … the workplace (i.e. hybrid work) and the benefits an intelligent workplace can offer including end-user experience Knowledge of intelligent workplace operations including visual analytics, predictive analytics, automation, machine learning, and optimisation capabilities Experience of delivering additional Digital Workplace offerings such as; collaboration and workplace modernisation (e.g. More ❯

join a company that's poised to revolutionize the industry! Key Responsibilities: Develop and implement data analysis strategies to leverage the latest advancements in analytics for innovative solutions. Collaborate with project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms … testing and training models, and documenting models. Support customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize propositions for services such as network plans and customer support, ensuring alignment with business goals. Enhance product and service analytics efforts, including network optimization, to maximize … solution delivery, ensuring alignment with organizational objectives. Build and maintain strong relationships with business stakeholders, fostering a collaborative environment within the data science and analytics community. About the Team: The data science and analytics teams at my client's company provide critical analysis for various departments, including Commercial More ❯

and Modeling: Analyze extracted data using advanced statistical and machine learning models. Collaborate with data scientists to implement state-of-the-art models for predictive and prescriptive analytics. Financial Data Expertise: Leverage past experience in financial data analysis to provide insights and support decision-making processes. Work with financial More ❯

Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team and other … across business units. Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictive maintenance, leakage detection, and customer analytics. Team Leadership & Hub-and-Spoke Model Lead the core data science team and provide oversight to embedded data … scientists across departments, ensuring adherence to best practices, standardisation, and quality control. Stay at the forefront of AI and advanced analytics trends, evaluating emerging technologies for their applicability to Thames Water. Foster a culture of continuous improvement and knowledge sharing. Identify opportunities to generate revenue from data assets and More ❯

Director of Analytics Location: Hybrid – London, Blackfriars Join us at Merlin Entertainments as we transform the future of digital guest experiences across our iconic global attractions. We are seeking an experienced Director of Analytics to lead our enterprise-wide data strategy and embed analytics across core business … functionally with multiple departments, including Marketing, Finance, Technology, and Operations, embedding cross functional data product teams within business domains to accelerate the impact of analytics and data-driven decision-making. About the Role In this Senior Leadership role, you will oversee the BI, Analytics, and Digital Analytics … decision-making and develop advanced data products that fuel growth, optimise operations, and enhance customer experiences. Key Responsibilities Define and deliver a company-wide analytics strategy to support business growth and transformation. Lead cross-functional data product teams embedded across Marketing, Finance, Technology, and Operations. Deliver advanced analytics More ❯

Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent … relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg More ❯

The Role: We’re looking for a Senior Full stack Engineer with a strong background in analytics, data pipelines, and marketing automation . You’ll lead the development of data-driven features , enabling enterprises to measure and optimize their digital business card interactions. As part of this role, you … ll help migrate our backend from Flask to Django , ensuring a scalable and well-structured API design. Responsibilities Design and develop analytics and reporting tools , providing insights into user engagement and marketing performance. Build and optimize data pipelines for tracking and processing user interactions. Work closely with co-founders … and product leaders to architect new marketing and analytics features . Support the migration from Flask to Django Adapt RESTful APIs to support integrations with CRM, marketing automation, and analytics platforms. Enhance the frontend using React and TypeScript , ensuring intuitive visualization of analytics data. Implement event tracking More ❯

the architectural design and implementation of AI/ML systems for quantitative trading and investment research Develop and maintain sophisticated machine learning models for predictive analytics, market forecasting, and trading strategy optimization Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial data in … Ensure the highest standards of model interpretability, explainability, and risk management Drive innovation in AI technologies, including large language models, deep learning, and advanced predictive algorithms Mentor and develop a team of AI engineers and data scientists Evaluate and integrate emerging AI technologies and research into existing systems Required … learning systems Strong programming skills in Python, with expertise in ML frameworks such as TensorFlow, PyTorch, and scikit-learn Proven track record of developing predictive models for financial applications Deep understanding of machine learning algorithms, statistical modeling, and data processing techniques Experience with cloud computing platforms (AWS, GCP, Azure More ❯

track record of innovation, we power the biggest names. We are on a mission to empower our partners with high-performance technology, real-time analytics, and robust financial insights—helping them make smarter, faster decisions. Role Overview: We are looking for a proactive and commercially minded FP&A Senior … Identifying areas where AI/ML can enhance forecasting accuracy, anomaly detection, or scenario modelling. Supporting pilot initiatives that test AI-driven tools (e.g., predictive analytics platforms, automated commentary generators). Collaborating with Business Intelligence, IT and Finance leadership to embed AI into financial workflows Support planning cycles More ❯

to adopt and test new technologies. Architecture & Systems Integration Architect connected systems that link our kinetic and solar hardware with backend infrastructure and data analytics platforms. Design and oversee edge and cloud infrastructure for real-time and asynchronous data processing. Ensure scalable, secure, and robust system design that supports … efforts—from firmware and scripting to platform development and UX/UI integration. Shape our data strategy: from sensor collection, cleansing, and ingestion, to analytics, visualisation, and client reporting. Explore and implement AI/ML capabilities and predictive analytics to provide deeper insights and value to customers. More ❯

Neural Network Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement innovative architectures and techniques to improve model accuracy and efficiency. System Integration: Collaborate with software developers and engineers to integrate AI systems 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. More ❯

Osterley/Hybrid Duration: 12 Months We are seeking a highly skilled and experienced Back-End Developer with advanced expertise in Go (Golang), data analytics, and cloud-based backend services. This individual will play a key role in building scalable APIs, processing data pipelines, and supporting front-end web … applications with real-time analytics and insights. Technical Expertise Independently develop and maintain high-performance backend services using Go (Golang). Design and implement RESTful APIs and GraphQL endpoints to support front-end applications. Process and optimize large-scale data pipelines for real-time analytics and reporting. Write … Utilize Prometheus, Grafana, and Kibana for monitoring and observability of backend systems. Optimize API performance and response times for a seamless user experience. Data Analytics & User Insights Integrate real-time data processing and analytics into backend applications. Work closely with data engineers, analysts, and front-end developers to More ❯

for AI training and inference. Implement and fine-tune AI algorithms for tasks such as natural language processing (NLP), computer vision, recommendation systems, and predictive analytics. Deploy and monitor AI models in production environments, ensuring scalability, efficiency, and reliability. Collaborate with cross-functional teams to integrate AI solutions into More ❯

two years. With a team of ~30 people, they are scaling quickly, supported by recent funding and a strong growth pipeline. They specialise in predictive analytics, tracking KPIs for a wide range of companies and industries. Their insights empower investors to make informed decisions by providing performance data More ❯

scale-up that is transforming insurance pricing and reserving with transparent machine learning. Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes. Powered by skilled R&D, Product & Actuarial teams … and reserving in an unprecedented manner. This results in a pricing solution that enables insurance companies to model risks 10 times faster with greater predictive power than traditional methods, whilst including next-generation reserving features, offering an end-to-end platform that anticipates and accounts for future claims. Akur8 More ❯

advantage. Expertise in data centers, storage, hosting, tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or … ServiceNow developer Certification, including ITSM, ITOM, Asset Mgt, ITBM, CSM, SecOps, GRC, or HR. Exposure to HRSD, IRM, CSM, FSM, GRC, mobile solutions, Reporting & Analytics & other industry specific solutions. Well-versed in modern web technologies and cloud computing architectural principles for cloud-based platforms that include SaaS, PaaS, multi More ❯

our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised to ensure deadlines are met, and willing to take on new … holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards for Data Visualisation and Analysis.; Fine-tuning large language models (e.g. GPT More ❯

development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. More ❯

and optimizing data models for a modern data warehouse on Azure Creating and maintaining secure, scalable data pipelines and ingestion workflows Leveraging Azure Synapse Analytics and ADF to deliver robust ELT solutions Ensuring pipeline execution, availability, and reliability across platforms Owning physical data models and collaborating with BI teams … and data modeling (Kimball or 3NF) Solid understanding of data warehouse architecture and best practices= ⭐ Bonus Skills: Familiarity with Salesforce (SFDC Sales Cloud), Google Analytics, or Airtable Experience with finance-related data marts (e.g. forecasting, P&L) Exposure to predictive analytics and building machine learning-ready datasets More ❯