16 of 16 Remote Predictive Analytics Jobs in Slough

Data Scientist – Inventory & Pricing Analytics Location: Manchester (Hybrid – 2 days onsite) Salary: £60,000–£90,000 The Company A global content powerhouse is building a next-generation analytics hub, reshaping how millions interact with digital media across publishing, audio, and out-of-home platforms. With data at the … hiring a Data Scientist to focus on optimising one of their largest revenue streams—advertising inventory. The Role As a Data Scientist – Inventory & Pricing Analytics, you will play a pivotal role in optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering … sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation, and predictive inventory management. Key Responsibilities 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 ❯

Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities … to thrive in a dynamic consultancy environment. Data modelling experience and understanding of the Kimball methodology Desirable Expertise: DP-600 – Fabric Analytics Engineer Associate PL-300 – Power BI Data Analyst Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build More ❯

a global leader in premium lifestyle products, specializing in apparel, accessories, home, fragrances, and hospitality. They have restructured to better leverage consumer insights and predictive analytics, driving personalized experiences at scale. To support this transformation, they are expanding their Data Science function to extract actionable insights from customer … for business growth. Responsibilities Data Analysis: Use Dataiku and other tools to clean, explore, and analyze customer data to uncover insights. Model Development: Build predictive models and machine learning algorithms to forecast customer behavior and personalize marketing strategies. CRM & Intelligence: Collaborate across teams to enhance CRM strategies and generate … strong skills in R, or SQL. Excellent communication skills, able to present technical findings to non-technical stakeholders. Experience working with customer data or analytics to provide actionable insights. Fashion or luxury retail experience. Details Duration: 12-month fixed-term contract Salary: £50 - 60k Start date: ASAP Hybrid working 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 ❯

automate manual analysis, and enhance user experience across the Soldo platform. Your focus will span generative AI assistants, intelligent transaction categorisation, OCR, anomaly detection, predictive analytics, and data-driven guidance systems. You’ll work on complex problems at the intersection of finance, data, and product design—developing solutions … data scientists and engineers to develop reliable, safe, and scalable AI-powered systems Drive initiatives such as generative assistants, personalised insights, smart alerts, and predictive models Own the delivery of machine learning products from ideation through launch, iteration, and measurement Ensure all AI capabilities are explainable, privacy-conscious, and More ❯

is key to maintaining and evolving our data platform, supporting both ongoing enhancements and greenfield development. You will work on data integration, ETL pipelines, analytics, and AI-driven insights, ensuring robust data solutions that support business growth. You will be responsible for designing, building, and optimising Azure Data Factory … populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future capabilities. Collaboration is central to the role. You will work within an Agile Scrum environment, using Azure DevOps … reliability and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced More ❯

strong emphasis on AI engineering, while having less focus on robotics. Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. Candidate should be an idea or concept developer with a strong background in innovation, particularly in POC development and More ❯

capabilities within the RMN ecosystem. Develop a robust ad inventory management framework. 2. AI-Driven Personalization & Automation Leverage AI/ML for audience segmentation, predictive analytics, and automated campaign optimization. Implement Generative AI for automated ad creation, content personalization, and A/B testing. Enhance Dynamic Creative Optimization … Stack & Cloud Architecture Design RMN solutions leveraging Google Cloud, AWS, or Azure, ensuring high availability and low-latency performance. Optimize data pipelines, real-time analytics, and identity resolution mechanisms. Oversee privacy-compliant data handling (GDPR, CCPA) and secure identity frameworks. 5. Stakeholder Collaboration & Roadmap Execution Work closely with engineering More ❯

advertising capabilities within the RMN ecosystem. • Develop a robust ad inventory management framework. AI-Driven Personalization & Automation • Leverage AI/ML for audience segmentation, predictive analytics, and automated campaign optimization. • Implement Generative AI for automated ad creation, content personalization, and A/B testing. • Enhance Dynamic Creative Optimization … Stack & Cloud Architecture • Design RMN solutions leveraging Google Cloud, AWS, or Azure, ensuring high availability and low-latency performance. • Optimize data pipelines, real-time analytics, and identity resolution mechanisms. • Oversee privacy-compliant data handling (GDPR, CCPA) and secure identity frameworks. Stakeholder Collaboration & Roadmap Execution • Work closely with engineering, product More ❯

edge technology with top-tier expertise. Backed by a government grant, they are developing a groundbreaking platform that delivers real-time market insights and predictive analytics for financial professionals. As a Junior Software Engineer (C#/.Net Core) are you ready to help develop and revolutionise the backend More ❯

craft reports, and shape data-informed strategies and campaign outcomes. SKILLS & EXPERIENCE Strong academic background in analytical disciplines with expertise in econometric modelling and predictive analytics. Skilled in tools like Python, R, SQL, Tableau; excels at translating data for diverse audiences. Experienced in cross-functional collaboration, data storytelling, and More ❯

base + double OTE Join the Platform Redefining Marketing Automation We’re a market leader in marketing automation, harnessing the power of AI and predictive analytics to help businesses build smarter, more personalised customer journeys. Our platform is trusted by industry leaders to deliver real-time engagement, cross More ❯

Lead Data Engineer - Hybrid working 3 days per week onsite As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: Develop and … unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency More ❯

the quality and availability of insights across their platform. This role is crucial for enhancing their current architecture, integrating diverse data sources, and enabling predictive and prescriptive analytics that will directly influence business strategy and client delivery. Key responsibilities Design, deploy, and maintain Python-based web crawlers using More ❯