76 to 100 of 101 Predictive Analytics Jobs in London

confidently design, price, and market offerings that resonate with consumers, ensuring every decision aligns with market demand and delivers financial impact. With 17 years of innovation in AI and predictive analytics, First Insight empowers businesses across industries-including retail, apparel, footwear, automotive, home goods, CPG, and hospitality-to outpace competitors by deeply understanding and adapting to ever-changing … to position First Insight AI solutions across functional teams within customer organization QUALIFICATIONS AND SKILLS: Bachelors Degree from an accredited college or university in Business/Planning/Business Analytics degree Ideal candidates will possess technology and SaaS Platform experience Brand/Retail/go-to-market experience is desirable Ideal candidates will have CSM & Project Management experience 3+ More ❯

Banking space to propel an innovator in machine learning fraud prevention and protect consumers everywhere. You have in-depth experience in fraud prevention, cyber security, payments, big data or predictive analytics markets and are excited to establish and develop Feedzai's relationships with Tier 1 Banks. You will lead the creation, development and expansion of revenue-producing activities More ❯

set out to build the solution he wished he had from day one: Nory. Nory is an all-knowing restaurant management system. It combines real-time data with AI predictive analytics to help restaurants operate with consistency, certainty and profitability. From food prep to forecasting, Nory puts operators in control of their margins. Now, with demand growing faster More ❯

technology and core networking control. Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, event-driven IT and predictive analytics. Familiarity with information management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure and operations, and EA and ITIL frameworks. Exceptional soft and More ❯

a conceptual architecture, solution, delivery plan Should be able to aware of the latest trends on what is happening in Digital space. Ex: knowledge on SRE, automation testing avenues, predictive analytics , AI, automation techniques Delivery readiness: Should have hands on experience in terms of managing identification of talent, either individual or squad based construct along with coaching and More ❯

a conceptual architecture, solution, delivery plan Should be able to aware of the latest trends on what is happening in Digital space. Ex: knowledge on SRE, automation testing avenues, predictive analytics , AI, automation techniques Delivery readiness: Should have hands on experience in terms of managing identification of talent, either individual or squad based construct along with coaching and More ❯

latency environments. Experience with network automation tools and frameworks, including Python, Ansible, or similar technologies. Experience leveraging AI/ML-driven tools for network performance optimization, anomaly detection, and predictive analytics. Understanding of AI frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and their application in network automation and monitoring. Experience with telemetry and observability frameworks (e.g., Prometheus, Grafana More ❯

a single source of truth. - Implement reporting and dashboarding solutions that empower internal teams and customers. - Ensure platform reliability, observability, and security. - Promote reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/… the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. - Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation. - Collaborate with Product and Engineering to embed ML/AI into core application features and workflows. - Establish success metrics and a governance … a culture of trusted data stewardship, literacy, and transparency. - Establish data governance practices including change control, provenance tracking, and auditability. - Build and evolve a robust data integration, reporting, and analytics platform using a Data Lakehouse, Warehouse, or Data Mart architecture. Cross-Functional Collaboration: - Align data initiatives with Product, Engineering, and Operations roadmaps. - Act as a unifying force across departments More ❯

Why Socure? At Socure , we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet. Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOSTM, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands … socialize the product vision, OKRs, and multi-quarter roadmap for front-end and Hosted UX experiences. Balance customer impact, technical feasibility, and business value when prioritizing the backlog. Instrument analytics and run experiments/A-B tests to optimize adoption, conversion, and time-to-value. Drive go-to-market readiness—packaging, pricing input, enablement materials, launch planning, and post … no-code configuration tools. Strong grasp of user-centered design principles; able to critique UI/UX and speak the language of designers. Data-driven mindset—comfortable with product analytics, funnel metrics, and A/B testing. Excellent communication and influence skills; adept at aligning cross-functional teams and presenting to executives. Bonus, but not mandatory: experience in identity More ❯

balancing competing priorities in a lean, fast-growing team. Fluency in English is required; additional languages are a plus. Nice to Have Experience with AI-driven IT tools (chatbots, predictive analytics, smart workflows). Familiarity with modern workplace and developer tooling (Microsoft 365, GitHub, Atlassian, Okta, Slack, Cisco Meraki). Experience in regulated environments or the financial sector More ❯

a Data Scientist, you'll play a key role in the end-to-end lifecycle of our 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 … search for areas where ML solutions could have a big impact on the business Communicate findings and insights to technical and non-technical stakeholders Support the rest of the Analytics team by building complex visualisations in Tableau This role offers the chance to make a real impact in a growing scale-up on a mission to change the face More ❯

AI/ML frameworks to enhance operational efficiency and customer experience. Manage and deliver complex technology projects on time and within budget, ensuring high-quality outcomes. Data Management and Analytics: Implement data governance models and advanced analytics solutions to enhance decision-making and business insights. Lead initiatives in big data augmentation and predictive analytics. Develop a group … transformation projects and innovative technology solutions. Deep domain expertise in asset management, private equity, and the shipping industry. Experience in delivering technology projects in the shipping industry, including data analytics platforms. Hands-on experience with a variety of technologies such as Microservices, .NET Core, Angular, React, Node, Java, Azure/AWS/Docker, ML/AI frameworks, NoSQL, blockchain More ❯

ground up. Act as a thought leader in AI , advising C-level clients on the practical applications of AI in financial services, including agentic AI, generative AI, automation, and predictive analytics. Drive business development , shaping proposals and solutions for AI-led consulting opportunities and generating a strong, repeatable pipeline across existing and new clients. Collaborate closely with the broader More ❯

Lead Data Engineer 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 execute a data engineering strategy that aligns with organisational goals and technological advancements. * Design and implement a … large volumes of structured 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 in cloud platforms (Azure, AWS More ❯

Solutions Architect (Data Analytics)- Presales, RFP creation Solutions Architect (Data Analytics)- Presales, RFP creation Get AI-powered advice on this job and more exclusive features. This range is provided by Vallum Associates. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range Direct message the job poster … from Vallum Associates Job Title: Solutions Architect (Data Analytics)-Pre-sales, RFP creation Location: London (3days/week onsite) Duration: Permanent Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on … design, including SQL development and 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. Good written and verbal communication skills. A minimum of 5 years experience in a similar role. Ability to lead and mentor the architects. More ❯

About the Role: Grade Level (for internal use): 14 Head of Revenue Operations, Performance Analytics & Martech The Team: This senior leadership role reports directly to the Managing Director, Head of Enterprise Marketing Strategy and Demand Generation Center of Excellence. The Head of Revenue Operations, Performance Analytics & Martech oversees three critical functions that power modern B2B marketing: revenue operations … client outcomes. In collaboration with functions such as Sales Operations and Corporate Technology, it directly oversees functions critical to enterprise marketing's operational effectiveness, including: Revenue Impact Modeling & Performance Analytics (data science) Data Visualization & Dashboarding Marketing Data Enablement (data infrastructure & pipes) Martech Integrations and Roadmap (in partnership with Corporate Technology) Website Operations & Maintenance (in collaboration with Digital Experience) Martech … Procurement & Governance Analytics Enablement & Insight Delivery Responsibilities and Impact: Strategy & Leadership: Build and evolve the revenue operations function, aligning marketing planning, execution, and measurement with go-to-market priorities. Lead a high-performing team across performance analytics, Martech, and data enablement. Serve as the strategic partner to the CMO's leadership team and divisional RevOps peers to drive More ❯

level operational technologies. You’ll work closely with cross-functional teams to implement smart factory initiatives, drive innovation, and ensure compliance with industry standards. To enable real-time insights, predictive maintenance, and data driven decision making across our manufacturing sites. Key Requirements Design and implement end-to-end digital architectures integrating MES, SCADA, PLCs, ERP, and IoT platforms. Lead … smart factory initiatives including predictive maintenance, quality analytics, and OEE improvement. Define standards for connectivity, cybersecurity, and interoperability between IT and OT systems. Collaborate with production, maintenance, IT, and vendors to align solutions with business outcomes. Evaluate and deploy technologies like edge computing, data historians, and cloud IoT platforms. Ensure compliance with IEC 62443, ISO 27001, and other … industry regulations. Support deployment of manufacturing analytics and AI-based solutions. Maintain high-quality documentation and facilitate knowledge transfer across teams. Travel required: approx. 20%. About You Certifications in TOGAF, AWS Solution Architect, ISA-95, or IEC 62443 are a plus. Experience with MES platforms (e.g., Aveva, GE Proficy), SCADA systems, and IT/OT convergence tools (e.g. More ❯

the UK’s most innovative financial technology firms. Key Responsibilities Marketing Strategy & AI Integration Develop and execute a roadmap for integrating AI into marketing operations, including automation, personalisation, and predictive analytics. Identify and deploy AI tools to improve campaign performance, customer segmentation, and lifecycle marketing. Collaborate with product, data science, and CRM teams to align AI initiatives with customer … AI-powered platforms. Data-Driven Decision Making Establish KPIs and dashboards to measure the impact of AI and digital initiatives on marketing ROI. Use insights from customer data, behavioural analytics, and market trends to inform strategy. Ensure ethical and compliant use of AI in all marketing activities. Stakeholder Engagement & Innovation Leadership Act as a thought leader and internal champion More ❯

working with large datasets across platforms like PostgreSQL or SQL Server. AI & Next-Gen Testing Tools Exposure to AI-powered testing solutions and familiarity with self-healing automation and predictive quality analytics. Key accountability Lead end-to-end QA delivery across complex, large-scale platform implementations in a fast-paced, agile environment. Act as the primary QA liaison for … quality standards Champion the adoption of AI-driven testing practices, including self-healing automation and intelligent test design Shape the strategic roadmap for test automation, with a focus on predictive quality analytics and continuous improvement Lead proof-of-concept (PoC) initiatives to evaluate and implement emerging QA technologies and frameworks Oversee the design, development, and rollout of scalable More ❯

Design AI-based solutions for critical functions such as R&D, patient engagement, supply chain optimization, and operational efficiency, utilizing the latest in machine learning, natural language processing, and predictive analytics. 3. Technology Integration: Seamlessly integrate AI solutions with existing enterprise systems and platforms, ensuring robust data analytics capabilities and operational effectiveness. 4. Client Collaboration: Establish strong, consultative More ❯

or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure to machine learning, predictive modelling, and advanced analytics techniques Industry experience in Automotive, Finance, or Manufacturing is highly desirable What’s in it for you: 💰 Salary : £60,000–£90,000 📍 Location : London More ❯

or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure to machine learning, predictive modelling, and advanced analytics techniques Industry experience in Automotive, Finance, or Manufacturing is highly desirable What’s in it for you: 💰 Salary : £60,000–£90,000 📍 Location : London More ❯

opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models … improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. More ❯

opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models … improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. More ❯

Make a real difference at one of London's foremost SaaS scale-ups: Be ready to pioneer the future of AI, data analytics, and technology. Step into PredictX, where we have integrated AI & ML into our products for the past decade, not just following trends but leading innovation. As an Enterprise SaaS provider, we're revolutionising decision-making for … many of the world's largest businesses, including three FAANG companies, through our AI technology and predictive analytics. Join the AI Revolution at PredictX! Embark on an exciting journey as the Global Project and Contracts Manager, playing a vital role in a company embracing AI. This role offers the opportunity to contribute your skills in a dynamic environment, supporting More ❯