1 to 25 of 33 Predictive Analytics Jobs in Central London

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. - Confirmed people management experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening … years thereafter. Preferred Qualifications: - 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 More ❯

marketing leadership: Paid Search, Paid Social, CRM, SEO, ASO, Retargeting, and Display Lead and inspire teams of circa 100 people Leverage advanced martech and analytics platforms to inform strategic decisions and optimise performance Drive the integration and continuous optimisation of a robust, scalable marketing technology stack, ensuring seamless data … all channels Champion the use of attribution modelling to accurately measure and optimise channel performance, customer journeys, and marketing RO Implement advanced data modelling, predictive analytics, dashboarding, and reporting automation to support decision-making and performance tracking Utilise machine learning and generative AI to surface deep insights, automate … Display Deep technical expertise in martech stack design, integration, and optimisation, with a focus on scalability, interoperability, and ROI Advanced skills in data modelling, predictive analytics, dashboarding, and reporting automation Mastery of modern marketing analytics platforms, attribution modelling, and the application of machine learning and gen-AI More ❯

efficiency, and enhance operational resilience. Lead the transition from traditional IT operations to aproactive, AI-driven, self-healing infrastructure. Establish a globalobservability, telemetry, and predictive analytics frameworkfor real-time insights. Align operational strategies with business goals, ensuring IT supports digital transformation initiatives acrossBCG Core, BCG X, and CT. … infrastructure, and hybrid environments. Proven track record inend-to-end automation, Infrastructure as Code (IaC), and large-scale observability. Experience inAI-driven IT operations, predictive analytics, and automated remediation. Strong understanding ofzero-trust security, regulatory compliance, and risk management. Excellent leadership, communication, and stakeholder management skills. Preferred Qualifications More ❯

Lead Data Engineer and work closely with one of the company’s co-founders. The organisation is developing in-house BI products that support predictive analytics, internal dashboarding, and overall data-driven decision making. The Role: We are seeking a Data Product Manager to own and drive the … to deliver high-quality, user-friendly BI products. Own internal dashboarding solutions, primarily using Power BI within a GCP environment. Contribute to projects involving predictive analytics and internal reporting solutions. Work hands-on where needed with SQL and Python. Required Experience: Previous experience as a Product Manager or More ❯

renewal portfolio. The role will work closely with teams across Pricing, Underwriting, and Customer Retention to design and implement renewal pricing models, leveraging advanced analytics and machine learning techniques to achieve business goals. My client is headquartered in London but this role is fully remote. Responsibilities: Stay updated on … competitor activity and market trends to ensure renewal pricing remains competitive and aligned with industry standards Apply predictive analytics to identify high-risk customers and recommend pricing strategies to enhance retention Perform detailed analyses of renewal performance metrics, including retention rates, loss ratios, gross written premium (GWP), and … or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large data More ❯

renewal portfolio. The role will work closely with teams across Pricing, Underwriting, and Customer Retention to design and implement renewal pricing models, leveraging advanced analytics and machine learning techniques to achieve business goals. My client is headquartered in London but this role is fully remote. Responsibilities: Stay updated on … competitor activity and market trends to ensure renewal pricing remains competitive and aligned with industry standards Apply predictive analytics to identify high-risk customers and recommend pricing strategies to enhance retention Perform detailed analyses of renewal performance metrics, including retention rates, loss ratios, gross written premium (GWP), and … or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large data More ❯

renewal portfolio. The role will work closely with teams across Pricing, Underwriting, and Customer Retention to design and implement renewal pricing models, leveraging advanced analytics and machine learning techniques to achieve business goals. My client is headquartered in London but this role is fully remote. Responsibilities: Stay updated on … competitor activity and market trends to ensure renewal pricing remains competitive and aligned with industry standards Apply predictive analytics to identify high-risk customers and recommend pricing strategies to enhance retention Perform detailed analyses of renewal performance metrics, including retention rates, loss ratios, gross written premium (GWP), and … or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large data More ❯

Social network you want to login/join with: Head of Data and Analytics Consulting, london (city of london) col-narrow-left Client: SR2 | Socially Responsible Recruitment | Certified B Corporation Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job … Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: 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 More ❯

insights in an easily understandable format. Attention to detail and commitment to delivering accurate and actionable data. Prior experience in a business intelligence or analytics-focused role. Experience with Python, R, or other data analysis programming languages. Prior experience with KPI development in a sales-driven environment. Understanding of … recruitment or talent management data such as ATS or CRM platforms. Experience leveraging artificial intelligence or machine learning techniques to enhance predictive analytics, automate processes, and generate deeper business insights. Benefits Of Working for Linnk: Clear career progression opportunities within Linnk Group. 25 days of annual leave, plus More ❯

Senior Data Analyst to join their growing data function. They're looking for a Power BI SME who has a real passion for driving analytics and insights. They have a stack of Snowflake, dbt, Python & Power BI. They're looking for someone who has end-to-end analytics experience and a genuine drive for data analytics and the impact it has on business performance. In this role you'll work cross-functionally across the entire c.1500 employee organisation. Expirience working in operations would also be favourable. They're looking for: highly analytical with a business mindset … . Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯

systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business … to integrate AI solutions into professional services applications. Ensure AI components interact seamlessly with enterprise platforms such as CRM, ERP, workflow automation tools, and analytics dashboards . Ethical AI & Compliance Embed AI fairness, transparency, and accountability principles into AI systems, ensuring ethical AI deployment. Stay updated on AI governance … AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

Social network you want to login/join with: Senior Fullstack Engineer (Django, React, Analytics, AWS), london (city of london) col-narrow-left Client: Aegistech Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 16.06.2025 Expiry … Date: 31.07.2025 col-wide Job Description: 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. … 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 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 ❯

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 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 ❯

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 ❯

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 ❯

classification processes Develop intelligent workflows leveraging AI Builder and hybrid logic frameworks Engineer low-maintenance pipelines capable of processing 200+ document formats Contribute to predictive analytics projects and data-driven decision-making Design API-first integrations with property management and financial platforms Interested!?! Please send your up to More ❯

cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate 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 ❯

sectors. This role is a unique chance to work with the latest technologies, for example: S/4HANA, IoT, UI5, Digital, Cloud, Mobile, GenAI, Predictive Analytics and other areas of data science, helping Clients renew their enterprise as they move through their transformation journeys. This opportunity is public More ❯

Scalewise is excited to be an official embedded partner to a leading software provide who's Fraud & Financial Crime Analytics technology is used by over 170 Enterprises globally harnessing their Predictive Analytics, Monitoring solution and verification tools to mitigate the risk associated with the every changing digitalised More ❯

Experience in innovation strategy, including the development and scaling of Centers of Excellence. Familiarity with modern technology stacks, including SaaS, PaaS, APIs, microservices, and predictive analytics. Strong strategic planning, program management, and stakeholder engagement capabilities. Highly effective communicator with experience influencing at senior leadership and board levels. Bachelor’s More ❯

Scalewise is excited to be an official embedded partner to a leading software provide who's Fraud & Financial Crime Analytics technology is used by over 170 Enterprises globally harnessing their Predictive Analytics, Monitoring solution and verification tools to mitigate the risk associated with the every changing digitalised More ❯

Scalewise is excited to be an official embedded partner to a leading software provide who's Fraud & Financial Crime Analytics technology is used by over 170 Enterprises globally harnessing their Predictive Analytics, Monitoring solution and verification tools to mitigate the risk associated with the every changing digitalised More ❯