1 to 25 of 40 Predictive Analytics Jobs in London

Claims Analytics Lead page is loaded Claims Analytics Leadlocations: London - UKtime type: Full timeposted on: Posted Todayjob requisition id: RWe are looking for an individual to design and establish a Claims Analytics function that delivers valuable insights to the business, enabling smarter claims and underwriting decisions. The opportunity: The International Portfolio Analytics team is an autonomous … analytics function embedded within the business, focused on delivering key insights. You will partner closely with the claims leadership team to build and develop a dedicated claims analytics capability from the ground up. Your work will deliver actionable insights that drive both strategic decision-making and operational efficiency, helping the business better understand claims performance, identify emerging trends … opportunities for improvement. This role offers a rare chance to combine technical expertise with real business impact in a high-profile, collaborative environment. What you'll be doing: Performance analytics - produce claims portfolio analyses to help identify and monitor key drivers and characteristics of claims, feeding back into underwriting performance Operational analytics - work with the claims team to More ❯

Head of Data & Analytics | London (Hybrid, 3 days in office) | £80,000-£90,000 + Bonus + Benefits Zachary Daniels are delighted to be partnering with a leading international business to recruit a Head of Data & Analytics. This is a pivotal leadership role with ownership of data strategy, architecture, and delivery across a modern Azure-based platform. As Head … of Data & Analytics, you'll shape and execute the enterprise data strategy, from building scalable pipelines and data lakes, to unlocking predictive analytics, AI, and machine learning for commercial advantage. You'll lead a talented team and ensure data becomes a true driver of growth, efficiency, and customer experience across the group. Benefits You'll Enjoy: Competitive … DOE) + bonus High visibility, reporting into senior leadership with international scope Hybrid working model 3 days in London office Broad remit covering data, AI, and advanced analytics Career-defining opportunity to embed a data-driven culture Role Responsibilities: Define and deliver the enterprise data and analytics strategy aligned to business goals. Build, lead, and scale a high More ❯

Head of Data & Analytics | London (Hybrid, 3 days in office) | £80,000-£90,000 + Bonus + Benefits Zachary Daniels are delighted to be partnering with a leading international business to recruit a Head of Data & Analytics. This is a pivotal leadership role with ownership of data strategy, architecture, and delivery across a modern Azure-based platform. As Head … of Data & Analytics, you'll shape and execute the enterprise data strategy, from building scalable pipelines and data lakes, to unlocking predictive analytics, AI, and machine learning for commercial advantage. You'll lead a talented team and ensure data becomes a true driver of growth, efficiency, and customer experience across the group. Benefits You'll Enjoy: · Competitive … DOE) + bonus· High visibility, reporting into senior leadership with international scope· Hybrid working model 3 days in London office· Broad remit covering data, AI, and advanced analytics· Career-defining opportunity to embed a data-driven culture Role Responsibilities: · Define and deliver the enterprise data and analytics strategy aligned to business goals.· Build, lead, and scale a high More ❯

systems (for example, linking finance and procurement systems or HR and payroll systems) to create a single source of truth. Implement data governance practices so that management reports and analytics are accurate and timely. Governance, Risk & Compliance: Implement strong IT governance and security practices for all corporate tech systems. Proactively use technology to strengthen compliance and risk management for … enterprise applications (e.g., ERP, HRIS). Evaluate and integrate new technologies (cloud-based solutions, automation tools) that could benefit corporate operations. Stay informed about industry best practices (such as predictive analytics and automation in compliance) to continuously improve internal platforms. Must have skills Education: Bachelor's degree in Computer Science, Information Systems, Engineering or related field (Master's … skills in systems integration - leveraging APIs, ETL tools, or integration platforms (iPaaS) to connect disparate systems. Understanding of enterprise architecture principles to ensure scalability and maintainability of solutions. Data & Analytics: Familiarity with data warehousing and business intelligence (BI) tools to support corporate analytics (for example, consolidating financial data for CFO dashboards or HR data for headcount analysis). More ❯

of regulatory intelligence. About the role: As our Lead Data Scientist , you will play a pivotal role in shaping and delivering data-driven solutions that power our regulatory scanning, analytics, and generative AI capabilities. You'll take ownership of complex data science problems end-to-end, from framing business challenges with stakeholders, to deploying production-ready solutions. We're … will bring: Proven expertise in data processing and content generation at scale, particularly within AWS environments. A track record of leading teams, influencing stakeholders, and delivering impactful ML and analytics solutions. Strong problem-solving skills, with the ability to balance hands-on technical delivery and strategic leadership. Proven ability to work across multiple projects simultaneously, adapting quickly to changing … are looking for someone who is energized by that environment and excited to build data-driven capabilities that support real-world impact at scale. Data Modeling, Gen-AI and Predictive Analytics Design, build and maintain data pipelines for ingesting and processing large volumes of regulatory data from diverse sources, both structured and unstructured. Develop models for data categorization More ❯

engineers and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients with real-time visibility, predictive analytics, and actionable insights. What You Will Do Develop and implement machine learning models to improve the accuracy of supply chain ETA s. Analyze large, complex datasets to … extract meaningful insights and identify trends. Design, build, and maintain scalable data pipelines and data lakes to ensure efficient data flow and storage for analytics purposes. Collaborate with cross-functional teams to integrate analytics solutions into our products. Design and build data visualization tools to communicate findings to stakeholders. Continuously research and apply the latest techniques in AI … and machine learning to supply chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks, or ensemble methods can predict More ❯

most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of … trends and technologies, continuously identifying opportunities to innovate and enhance Choreograph's service offerings to clients. WHAT YOU WILL NEED E xperience in a role within data science, advanced analytics, or AI, ideally in a client-facing, consultancy, or professional services environment. Demonstrable success in managing large-scale data science or analytics projects that deliver significant business impact. … Demonstrated ability to balance long-term strategic goals with immediate client needs, driving both growth and operational excellence. Deep expertise in data science methodologies, including machine learning, statistica , modeling, predictive analytics, and data visualization. A strong proficiency in Python, R, or similar languages, along with experience in cloud-based data platforms like GCP, Azure, or AWS. Exceptional communication More ❯

with business objectives. Your expertise, attention to detail, and analytical skills will be essential in driving business growth, identifying areas for improvement, and informing strategic decisions Data collecting, mapping, analytics and maintaining consistency across all clients' data as well as making data accessible to internal and external partners Validating and improving metrics and data quality to ensure calculations are … management tools Creating roadmaps for the life cycle of data projects Using statistical tools to interpret data sets, detecting trends and patterns that could be valuable for diagnostic and predictive analytics efforts Assisting with the preparation of loss runs and claims selection for audits and due diligences Participating in special projects (e.g. conduct risk, consumer duty, KPIs) and More ❯

Data Engineer specializing in Natural Gas and Power, you will support the design, development, and optimization of advanced data infrastructure and products that support critical trading, risk, and market analytics functions. You will collaborate closely with traders, quantitative analysts, risk managers, and IT stakeholders to ensure data systems are scalable, secure, and aligned with the strategic goals of the … Contribute to the definition and execution of the enterprise data strategy, with a focus on Natural Gas and Power markets. Drive the development of advanced data products such as predictive analytics tools, real-time dashboards, and automated reporting systems. Expand and enrich datasets from public and proprietary sources to support market intelligence and forecasting. Evaluate and implement emerging More ❯

that drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive analytics to natural language processing, providing variety and challenge in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills More ❯

Finance, or a related analytical discipline 3+ years of experience in business analysis, forecasting, or commercial strategy-ideally in media, entertainment, or consultancy Strong background in econometric modelling and predictive analytics Proficiency in analytical tools such as Excel, R, Python, or SQL and business intelligence platforms (e.g., Tableau, Power BI) Experience in bringing together multi-disciplined data teams More ❯

oriented technology professional to architect the future of wine trading technology - from rebuilding our trading and settlement platform from the ground up, to creating an integrated ecosystem of data, analytics, and market intelligence tools that support customers across their entire business workflow. Liv-ex's product, tech and data functions are closely coupled and co-dependent. As such, you … wine market. Turn data into strategy: define and roll out a comprehensive data program that reshapes how wine businesses price, trade, and operate. Champion rapid innovation, from RPA and analytics quick wins to the groundwork for AI/ML-driven pricing, logistics, and market intel services. Envision and ship products that extend beyond trading to leverage Liv-ex data … to sales strategy Transform data into user centred tools & dashboards that influence customer behaviour and unlocks new revenue streams. Re-imagine market intelligence capabilities: to deliver actionable insights and predictive analytics that delight customers and increase wallet share. Embed product management excellence and customer centric, data driven decision making across the team, through all stages of the life More ❯

a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You'll be part of an agile, innovative team, developing cutting-edge solutions that are transforming the world of credit risk. Your work will have a real-world More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying … the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g. More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying … the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g. More ❯

incident detection and responseusing AI-driven network analytics. Ensurehigh availability, network resilience, and 24x7 operational support. Develop afollow-the-sun support model, ensuringglobal network performance optimization. Implementnetwork observability and predictive analyticstoproactively prevent outages. Security, Compliance & Risk Management: Drivezero-trust security frameworks, ensuringsecure and resilient network access. Ensure adherence toISO 27001, NIST, SOC 2, GDPR, and industry best practices. Collaborate … Deep expertise incloud networking (AWS, Azure, GCP), SD-WAN, and network automation. Proven track record inend-to-end network automation, observability, and self-healing networks. Experience inAI-driven networking, predictive analytics, and network telemetry. Strong understanding ofzero-trust networking, compliance frameworks, and security policies. Excellent leadership, communication, and stakeholder management skills. Preferred Qualifications: Certifications:CCIE, AWS/Azure More ❯

at scale. Your primary focus will be on developing AI-powered intelligent workflow automation and resource optimisation systems for property operations. You'll leverage technologies such as process mining, predictive analytics, and intelligent decision support systems, while also incorporating complementary AI capabilities including voice technologies (IVR, voice-to-text), computer vision (image and video-based diagnostics), and natural More ❯

a forward-thinking organisation that understands the power of people data in driving business success. With a focus on building an exceptional employee experience, they are investing in HR analytics to provide insights that shape their people strategy and strengthen business performance. The Opportunity Our client is seeking a skilled People Data Analyst to join their HR team. This … e.g., GDPR). Build and maintain data models to support advanced people analytics. Drive automation of HR reporting processes, reducing manual effort and increasing efficiency. Support the development of predictive analytics and workforce planning tools. About You Proven experience as a People Data Analyst, HR Analyst, or Business Intelligence Analyst . Strong expertise with Power BI (reporting, dashboards … levels. Detail-oriented with a focus on accuracy and data integrity. In return our client will offer Competitive salary and benefits package. The chance to shape a growing people analytics function. Exposure to senior leaders and the opportunity to influence HR strategy. A collaborative and supportive culture, with flexibility to support work life balance. Professional development opportunities, including training More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Principal Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains - from manufacturing to customer experience and commercial optimisation. Working closely with a multidisciplinary team, you’ll have … the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference methodologies Bachelor More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Principal Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains - from manufacturing to customer experience and commercial optimisation. Working closely with a multidisciplinary team, you’ll have … the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference methodologies Bachelor More ❯

Lead Data Scientist London Up to £95,000 + bonus + benefits Our Client We're helping a global ecommerce marketplace build out their Data & Analytics teams. With over 20,000 employees in 41 locations around the world, our client traverses a number of consumer industries. They are passionate about transforming the ecommerce sector by investing in and deploying … to hyper-personalise their customer experience. In addition this, at a leadership level, Data Scientists work as internal consultants within the business, advising executive teams on all things concerning predictive analytics and machine learning. What a Lead Data Scientist role will involve A hybrid role which is both hands-on with building models and involves consulting throughout the … language including Python, Java, C/C++, R. That you can work in a cross-functional environment, managing stakeholders across multiple stakeholders and translating research into practical solutions for predictive analytics. Experience in solution design, architecting and outlining data analytics pipelines and flows. Advanced Mathematics skills including experience with Bayesian statistics, linear algebra and MVT calculus, advanced data More ❯

that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying … the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g. More ❯

and executing product roadmaps that have led to significant business impact and improved user experience. Proven ability to lead and influence cross-functional teams, including engineering and design, operations, analytics, and legal & compliance. Strong technical aptitude with the ability to engage in engineering discussions, understand architectural considerations, and make informed technical trade-offs. Exceptional analytical skills with a track … services. Experience with global platforms and understanding of international market nuances. Proven track record of leveraging AI/ML technologies, such as natural language processing, GenAI, and/or predictive analytics to design and deliver customer service solutions that enhance the user experience, reduce resolution times, and agent productivity. Additional Information The hiring range for this position in More ❯

internally) - Bachelor's degree or equivalent - Minimum 5 years of project management experience - Proven track record of leading large-scale transformation projects - Advanced analytical skills including statistical modeling and predictive analytics - Demonstrated experience in building and leading large teams PREFERRED QUALIFICATIONS - Experience in global logistics operations and digital transformation initiatives - Advanced certifications (PMP, Six Sigma Black Belt, CSCP … Experience with advanced analytics tools (Python, R, Advanced SQL) and BI platforms - Track record of successful P&L management - Experience in merger integration or large-scale organizational transformation Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process More ❯

Senior Data Analyst/Insight Analyst - Contract - Predictive Modelling Rate: £370-£400/day (Outside IR35) Location: Remote-first (occasional office visits) Start Date: ASAP | Duration: Initial contract, likely extension The Role We're seeking a Senior Data/Insight Analyst with strong predictive modelling and recommendation engine experience to help build an in-house personalised advertising platform … . You'll apply advanced analytics to make ads more intelligent, relevant, and incremental-uncovering what customers will love, not just what they've bought before. What You'll Do Build & optimise recommendation/personalisation models . Drive incremental targeting beyond repeat-purchase patterns. Apply predictive analytics to customer behaviour & purchase history. Use Python (essential), SQL , and … Data Science to align models with business goals. Translate data into clear, actionable insights. (Bonus) Explore AI-driven ad content opportunities. What We're Looking For Proven experience with predictive modelling/recommender systems . Strong Python & SQL skills (essential). Exposure to PySpark (desirable). Strong communicator with ability to link data to business outcomes. (Bonus) Experience with More ❯