101 to 119 of 119 Predictive Analytics Jobs in London

VoC) Leadership Establish and lead Nuvei's global VoC programme to systematically capture, analyse, and act on customer feedback from multiple channels. Partner with Analytics and Insights teams to deliver actionable VoC insights that inform product, service, and operational improvements. Create and manage governance processes to prioritise VoC-driven … and retention rates, to evaluate performance globally. Ensure consistent reporting on CX metrics to senior leadership, highlighting progress, trends, and areas for improvement. Use predictive analytics to forecast customer needs and improve proactive engagement strategies. 5. Cross-Functional Leadership & Alignment Serve as the primary advocate for customer-centric More ❯

The Role We seek a Lead Data Analyst to understand customer behavior and support our D2C growth. Responsibilities include developing a data ecosystem, leveraging analytics tools, optimizing marketing and product performance, and collaborating with data teams. The role reports to the VP of Measurement and Analytics, based in … potential travel to New York. What Does It Take? Essential Criteria: Experience in D2C, subscription, or e-commerce businesses. Proficiency in SQL, Python, and analytics tools like GA4, Adobe, Piano. Understanding of customer funnel, acquisition, retention, segmentation. Ability to present data insights to stakeholders; experience with visualization tools (Tableau … Power BI) is desirable. Strong business acumen and communication skills. Desirable Criteria: Expertise in advanced analytics, forecasting, predictive analytics. Knowledge of marketing principles and digital channels. Experience with retention models, cohorts, lifetime value. Understanding of content engagement strategies. Collaborative and innovative mindset. Life at BBC Studios We value More ❯

scalable and secure machine learning operations (MLOps) pipelines for efficient model deployment or integration of AI capabilities such as generative AI, intelligent automation, and predictive analytics into our business processes. About you The ideal candidate for this role will have proven experience as a Data-Architect or in … a similar role, delivering enterprise-level data and AI solutions. Additionally, you will have experience in: Building and managing medallion architecture, MLOps and advanced analytics solutions Knowledge of Databricks and how it can be a part of a modern data architecture Knowledge of automation frameworks to integrate small-scale More ❯

shaping the BBC's D2C strategy. The Lead Data Analyst will lead the development and implementation of a data and insights ecosystem, leveraging advanced analytics and proprietary tools to support all aspects of the acquisition and engagement funnel. The role also involves optimizing performance of product and marketing initiatives … to develop new KPIs and reporting to steer the 0-1 growth of the D2C business. Reporting to the Vice President of Measurement and Analytics, this role is a full-time hybrid working position based in London. The role may require travel to New York. WHAT DOES IT TAKE … to-consumer, subscription, or ecommerce business. Highly data literate with excellent skills in analyzing data using programmatic methods such as SQL, Python, and data analytics tools such as GA4, Adobe, or Piano. Deep understanding of the customer funnel, including acquisition, retention, and customer segmentation strategies. Proven experience in deriving More ❯

the right position! Hadoop/Java/R London (UK) We need a resource with at least 10 years of overall experience who has predictive analytics experience using R language. Projects will be in Switzerland with other experts and senior experts from different IT fields working together to … management sector and big data technology is required. The resource should be able to communicate with business stakeholders, understand business requirements, and help design analytics dashboards. Those interested and who meet the above conditions, please send your CV together with personal details by e-mail to . More ❯

run their businesses. We help independent retailers buy sustainable and unique products from brands and wholesalers on a centralised platform, using artificial intelligence and predictive analytics to improve sales for brands, manage inventory levels and get sustainable finance. All we do is aimed at delivering more choice, better More ❯

C# with Spring Boot or .NET Core. Integrations: Market data feeds (e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks … for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Cloud Technologies: Providers: AWS (EC2, Lambda), Azure (AKS), or Google Cloud (BigQuery). Containers: Docker, Kubernetes for scalable deployments. Serverless: AWS Lambda or Azure Functions. DevOps and More ❯

C# with Spring Boot or .NET Core. Integrations: Market data feeds (e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks … for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Cloud Technologies: Providers: AWS (EC2, Lambda), Azure (AKS), or Google Cloud (BigQuery). Containers: Docker, Kubernetes for scalable deployments. Serverless: AWS Lambda or Azure Functions. DevOps and More ❯

to £95,000 + 10-30% bonus + benefits 🏠 Location: Hybrid, London HQ 🧩 Interview process: 3 stages 📢 Reporting to: Head of Data & Analytics 👏 Company size: ~1000 (~40 in data) 🎯 Working on: Predictive Modelling Revenue Forecasting/FinOps Demand Forecasting Churn You'll be taking your insights and using … only in the data team but across the business! We're looking for: Extensive experience in data science, with a strong background in building predictive models and analytics solutions. Experience working in a fast-paced or scaling-business Expertise in statistical analysis, machine learning, and data-driven decision More ❯

to £95,000 + 10-30% bonus + benefits 🏠 Location: Hybrid, London HQ 🧩 Interview process: 3 stages 📢 Reporting to: Head of Data & Analytics 👏 Company size: ~1000 (~40 in data) 🎯 Working on: Predictive Modelling Revenue Forecasting/FinOps Demand Forecasting Churn You'll be taking your insights and using … only in the data team but across the business! We're looking for: Extensive experience in data science, with a strong background in building predictive models and analytics solutions. Experience working in a fast-paced or scaling-business Expertise in statistical analysis, machine learning, and data-driven decision More ❯

also have regular interaction with our fantastic Data Analysts and Technical Business Analysts You should apply if you have: 3+ years of data engineering, analytics or machine learning experience Advanced skills in Python and SQL Experience with Airflow, Prefect or other task orchestration tools Familiarity with modern data stack … us, you will be diving into a world of data-driven exploration and innovation, revolutionising financial insights through cutting-edge technologies, machine learning and predictive analytics. Your contributions will shape the future of cross-border finance, helping clients to uncover better paths to growth and profitability, as well as More ❯

and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience of insurance/reinsurance pricing techniques Experience in developing models in Python Experience in customer facing More ❯

and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience of insurance/reinsurance pricing techniques Experience in developing models in Python Experience in customer facing More ❯

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 … 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 More ❯

clients on AI adoption and demonstrate how AI can optimize their financial services operations. Identify opportunities to automate sales processes using machine learning and predictive analytics. Train sales teams on AI tools and methodologies to improve lead conversion and customer interactions. Partner with marketing to develop AI-based personalization … years of experience in sales consulting, AI implementation, or financial technology solutions. Strong understanding of AI technologies, including machine learning, natural language processing, and predictive analytics. Proven track record in financial services, SaaS solutions, or enterprise software sales. Ability to translate complex AI concepts into actionable business strategies for … clients. Experience working with CRM platforms, AI-driven sales tools, and data analytics solutions. Excellent communication, negotiation, and relationship management skills. Bachelor's degree in business, computer science, finance, or a related field (MBA or AI certification is a plus). Preferred Skills: Hands-on experience with AI-powered More ❯

to identify bottlenecks and resolve escalations swiftly. Ensure adherence to SLAs for order fulfillment, delivery timelines, and customer satisfaction. Utilize and develop dashboards; perform analytics to monitor order flow, logistics efficiency, and manage exceptions. Process Optimization & Performance Improvement: Analyze delivery performance trends, including on-time delivery, failed deliveries, route … stores, delivery partners, and customer support teams for seamless execution. Coordinate with tech and product teams to improve control tower visibility, data accuracy, and predictive analytics. Serve as a central point of contact for escalations, ensuring quick resolution of service disruptions. Maintain strong relationships with 3PL partners and fleet More ❯

value proposition to potential clients is highly desirable. A good understanding of and passion for Cloud, IoT/edge, Big Data, Digital Twin, AI, Predictive/Prescriptive Analytics, Smart Building solutions and emerging enterprise technologies. Excellent communication and negotiation skills, with the ability to build rapport and trust More ❯

is a unique opportunity to take a leading role in a high-growth area, working with major organisations to develop and embed AI, advanced analytics, and digital transformation strategies that deliver measurable impact. Associate Partner - AI & Data-Led Supply Chain, role details:- Be at the forefront of AI and … data-led supply chain transformation, shaping this new, high-priority practice. Lead end-to-end digital transformation programmes, embedding AI-driven decision-making and predictive analytics. Work closely with clients to design and implement scalable, data-led solutions that drive efficiency, resilience, and financial impact. Take ownership of business … Chain, required background:- Management consultancy background, with experience in AI, data, or digital transformation within supply chain or operations. Expertise in leveraging AI, advanced analytics, or machine learning to drive measurable operational improvements. A strong commercial mindset, with proven experience in business development and client acquisition. The ability to More ❯

is a unique opportunity to take a leading role in a high-growth area , working with major organisations to develop and embed AI, advanced analytics, and digital transformation strategies that deliver measurable impact. Associate Partner - AI & Data-Led Supply Chain, role details:- Be at the forefront of AI and … data-led supply chain transformation, shaping this new, high-priority practice. Lead end-to-end digital transformation programmes , embedding AI-driven decision-making and predictive analytics. Work closely with clients to design and implement scalable, data-led solutions that drive efficiency, resilience, and financial impact. Take ownership of business … required background:- Management consultancy background , with experience in AI, data, or digital transformation within supply chain or operations . Expertise in leveraging AI, advanced analytics, or machine learning to drive measurable operational improvements. A strong commercial mindset , with proven experience in business development and client acquisition . The ability More ❯