1 to 25 of 30 Permanent 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 ❯

Text Only) Required Qualifications: - Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics predictive analytics, research) - OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics … predictive analytics, research) - OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) - OR equivalent experience. - Proven experience developing and optimizing generative models, particularly diffusion and auto-regressive models, for image and video applications. More ❯

Text Only) Required Qualifications: - Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics predictive analytics, research) - OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics … predictive analytics, research) - OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) - OR equivalent experience. - Proven experience developing and optimizing generative models, particularly diffusion and auto-regressive models, for image and video applications. 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 ❯

seamless integration between components and optimal performance across the technology stack. Technical Innovation: Leverage cutting-edge technologies, such as large language models, computer vision, predictive analytics, machine learning and data science, to solve complex problems and contribute to the companies position at the forefront of the energy industry. … 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 ❯

Head of Data & Analytics Consulting | London | £95,000 - £100,000 | Hybrid The Role Looking for a dynamic leader to establish and guide a newly created client-focused team responsible for configuring and deploying an advanced data platform. This team ensures the smooth implementation of software, data extraction, engineering, analytics, product setup, and dashboard development while working closely with clients to meet their needs. The Data & Analytics Consulting team is composed of versatile professionals, each proficient in managing all technical aspects (Engineering, Science, Analytics) of client implementations and supporting them throughout the deployment process. This team works … such as Information Governance (security and compliance), Platform Development (core product innovation), and Quality Assurance (testing and validation). As the Head of Data & Analytics Consulting, you will oversee the technical deployment process from end to end, ensuring efficient and high-quality client implementations. You will develop a scalable More ❯

An international (re)insurer with offices in all major financial centres is seeking a Head of Analytics to lead a multi-disciplinary team of data scientists, predictive modellers and data engineers. You will be responsible for working closely with underwriting teams to provide data-led analytics solutions … including predictive models which are the most suitable for the business's needs. These could be a host of machine learning provisions including GBMs, natural language processing etc. You will also be tasked with providing portfolio insights to help construct strategic business decisions and explore new ways of doing … things to ensure the business is at the forefront in the analytics space. To be successful, you will have a background in providing analytics and models within the commercial insurance market. Good overall knowledge of London market insurance products is highly advantageous. Strong skills with tools such as 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 ❯

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 ❯

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 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 ❯

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 ❯

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 ❯

API layers, and server-side infrastructure, ensuring seamless functionality across the technology stack. Technical Innovation: Utilise advanced technologies, including large language models, computer vision, predictive analytics, and data science, to address complex challenges and contribute to industry-leading digital innovation. Agile Development Methodology: Apply agile principles to iterate More ❯

API layers, and server-side infrastructure, ensuring seamless functionality across the technology stack. Technical Innovation: Utilise advanced technologies, including large language models, computer vision, predictive analytics, and data science, to address complex challenges and contribute to industry-leading digital innovation. Agile Development Methodology: Apply agile principles to iterate More ❯

platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure … versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting Predictive analytics for campaign performance Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI 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 ❯

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 ❯

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 ❯

multiple languages and technologies, with a strong emphasis on AI engineering Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. Idea/concept developer with a strong background in innovation, particularly in POC development and research, rather than a More ❯

line engineering, embedded directly with the trading desk that drives the firm's most significant revenue. This team is building the next generation of predictive and detection systems that identify inefficiencies across global commodities markets-energy, agriculture, refined products-and turn them into trading opportunities. Your work will shape … systems that power a multi-billion-dollar commodities trading desk. Develop tools to detect market shifts, forecast price movements, and support scenario modeling. Integrate analytics directly into the investment process, influencing real-time trading decisions. Collaborate with traders, researchers, and data scientists to deliver impactful, production-ready tools. Engineer … scalable systems for data ingestion, modelling, and visualization. Design infrastructure for predictive analytics and anomaly detection to maintain a competitive edge. What You Bring A strong academic foundation in Computer Science, Engineering, or a related field (competitive programming or academic accolades are a plus) 6+ years of hands 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 ❯

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 ❯