1 to 25 of 30 Permanent Predictive Analytics Jobs in Slough

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 ❯

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 ❯

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 ❯

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 ❯

Senior Analytics Engineer The Role This is an exciting opportunity for an experienced Senior Analytics Engineer to lead technical work on projects, manage complex stakeholder relationships, and deliver innovative data solutions. Positioned at the intersection of Data Analytics, Software Development, and Data Engineering, this role is critical … in shaping data-driven decision-making across diverse industries. As a Senior Analytics Engineer, you’ll be responsible for designing scalable data pipelines, leading technical execution, and mentoring junior team members. The role involves close collaboration with stakeholders to understand their objectives and deliver high-impact solutions, while also … driving innovation in analytics engineering practices. Key Responsibilities Technical Leadership : Design and implement robust, scalable data pipelines using tools such as dbt and Airflow. Stakeholder Collaboration : Work closely with stakeholders to understand business needs and deliver tailored, data-driven solutions. Data Transformation : Convert raw data into clean, actionable datasets More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

approach treasury by blending cutting-edge technology with top-tier expertise. They are developing a groundbreaking platform that delivers real-time market insights and predictive analytics for financial professionals. They are looking to bring on a Data Scientist to work part time 2-3 days a week, at 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 ❯

Insurtech startup 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 … unprecedented way. This results in a pricing solution which not only allows insurance companies to model their risks 10 times faster, with a higher predictive power than traditional methods, but which also incorporates next generation reserving functionalities, helping to predict and legislate for future claims, therefore constituting a major … Ability to understand insurance business imperatives and establish solutions in accordance with them ; A strong understanding of Data Science and Machine Learning techniques for predictive modeling ; Experience in actuarial data-driven predictive modeling (GLMs/GAMs) & risk analysis in a P&C/General insurance pricing role ; Strong More ❯

product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll get hands-on experience across a range of AI applications that are changing how we work and live. Whether you 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 ❯

Full-Stack Engineer. This role offers the chance to contribute to the development of a cutting-edge AI platform that transforms patient care through predictive analytics. As a key member of a collaborative engineering team, you'll work across the stack—building secure, scalable APIs and intuitive front-end 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 ❯