126 to 144 of 144 Predictive Modelling Jobs in London

graduate or a data analyst with experience in a similar role. Lead on the production of campaign reports and work alongside the data scientist to support the development of predictive models, that identify opportunities to activate client growth. Produce campaign reports and analyses across the agency client base, working closely with the data scientist and account teams Work with … their internal tech stack (including CRMs, booking/loyalty platforms and PowerBI for visualisation) Support the data scientist in the development and interpretation of predictive models to develop growth areas for the agency and clients Regular liaison with account teams to fulfil and deliver reporting and analysis requests Present data to key stakeholders at all levels, including a mix More ❯

the consumer journey. The role sits within the Consumer Intelligence and Experience (CIX) team, which leads market research, segmentation, and activation across all brands and channels. You'll build predictive models and run experiments that support CRM strategies and improve customer relevance at scale. Responsibilities Lead data science projects that deliver actionable insight and influence CRM strategies Build predictive More ❯

in this role you will work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will build predictive models and work with the engineering team to provide further insights to our customers. You will be able to design and develop end-to-end data pipelines to handle … 3+ years experience in building a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. More ❯

in this role you will work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will build predictive models and work with the engineering team to provide further insights to our customers. You will be able to design and develop end-to-end data pipelines to handle … 3+ years experience in building a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. More ❯

in this role you will work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will build predictive models and work with the engineering team to provide further insights to our customers. You will be able to design and develop end-to-end data pipelines to handle … 3+ years experience in building a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. More ❯

in this role you will work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will build predictive models and work with the engineering team to provide further insights to our customers. You will be able to design and develop end-to-end data pipelines to handle … 3+ years experience in building a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. More ❯

hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine More ❯

be responsible for: Evolving and scaling a centralised data platform in GCP Overseeing governance, compliance and data quality frameworks Leading reporting and analytics through Power BI and Omni Building predictive models such as CLV and propensity scoring Partnering with senior stakeholders to define and deliver data roadmaps Driving major projects such as ERP integrations, CDP development and digital journey … be responsible for: Evolving and scaling a centralised data platform in GCP Overseeing governance, compliance and data quality frameworks Leading reporting and analytics through Power BI and Omni Building predictive models such as CLV and propensity scoring Partnering with senior stakeholders to define and deliver data roadmaps Driving major projects such as ERP integrations, CDP development and digital journey More ❯

foundations of all things AI and ML. This is a hands-on, high-impact role where you’ll collaborate directly with world-class science and engineering teams to develop predictive models that assess risk and surface actionable insights for enterprise customers. You’ll be tackling some genuinely unique data challenges — from simplifying the complex world of carbon removals to … solving first-of-a-kind data problems. 🔧 What You’ll Do Build and refine predictive risk models in collaboration with a talented science team. Identify new and unconventional data sources to feed into those models. Work with engineers to productionize model outputs through APIs. Partner with product teams to bring ML-powered insights into real customer-facing products. 💡 Tech … 4+ years of hands-on ML/AI experience. Strong background in working with unstructured data and turning it into structured, model-ready form. Experience building or fine-tuning predictive models and deploying them to production. Familiarity with LLMs (OpenAI, Claude, Gemini, etc). Excited about being the first AI/ML hire and shaping the roadmap. Passionate about More ❯

foundations of all things AI and ML. This is a hands-on, high-impact role where you’ll collaborate directly with world-class science and engineering teams to develop predictive models that assess risk and surface actionable insights for enterprise customers. You’ll be tackling some genuinely unique data challenges — from simplifying the complex world of carbon removals to … solving first-of-a-kind data problems. 🔧 What You’ll Do Build and refine predictive risk models in collaboration with a talented science team. Identify new and unconventional data sources to feed into those models. Work with engineers to productionize model outputs through APIs. Partner with product teams to bring ML-powered insights into real customer-facing products. 💡 Tech … 4+ years of hands-on ML/AI experience. Strong background in working with unstructured data and turning it into structured, model-ready form. Experience building or fine-tuning predictive models and deploying them to production. Familiarity with LLMs (OpenAI, Claude, Gemini, etc). Excited about being the first AI/ML hire and shaping the roadmap. Passionate about More ❯

foundations of all things AI and ML. This is a hands-on, high-impact role where you’ll collaborate directly with world-class science and engineering teams to develop predictive models that assess risk and surface actionable insights for enterprise customers. You’ll be tackling some genuinely unique data challenges — from simplifying the complex world of carbon removals to … solving first-of-a-kind data problems. 🔧 What You’ll Do Build and refine predictive risk models in collaboration with a talented science team. Identify new and unconventional data sources to feed into those models. Work with engineers to productionize model outputs through APIs. Partner with product teams to bring ML-powered insights into real customer-facing products. 💡 Tech … 4+ years of hands-on ML/AI experience. Strong background in working with unstructured data and turning it into structured, model-ready form. Experience building or fine-tuning predictive models and deploying them to production. Familiarity with LLMs (OpenAI, Claude, Gemini, etc). Excited about being the first AI/ML hire and shaping the roadmap. Passionate about More ❯

foundations of all things AI and ML. This is a hands-on, high-impact role where you’ll collaborate directly with world-class science and engineering teams to develop predictive models that assess risk and surface actionable insights for enterprise customers. You’ll be tackling some genuinely unique data challenges — from simplifying the complex world of carbon removals to … solving first-of-a-kind data problems. 🔧 What You’ll Do Build and refine predictive risk models in collaboration with a talented science team. Identify new and unconventional data sources to feed into those models. Work with engineers to productionize model outputs through APIs. Partner with product teams to bring ML-powered insights into real customer-facing products. 💡 Tech … 4+ years of hands-on ML/AI experience. Strong background in working with unstructured data and turning it into structured, model-ready form. Experience building or fine-tuning predictive models and deploying them to production. Familiarity with LLMs (OpenAI, Claude, Gemini, etc). Excited about being the first AI/ML hire and shaping the roadmap. Passionate about More ❯

comprehend and tackle physical climate risks. You will be tasked with defining the ML strategy, assembling a high-impact team, and driving real-world innovations in generative AI, geospatial modelling, and time-series forecasting. Responsibilities Develop and refine the company's AI & ML strategy in alignment with product goals and customer needs. Lead, mentor, and expand a talented team … of ML Engineers. Transform prototypes into production-ready features that leverage GenAI and predictive models. Collaborate with Science and Engineering teams to integrate ML solutions with physics-based climate models. Simplify complex technical concepts to enable effective communication with customers and cross-functional teams. Your work will focus on delivering high-value insights and solutions, including: Creating generative AI … tools for assessing geospatial risks. Building predictive models to forecast the impacts of floods, cyclones, and heat stress. Utilizing satellite imagery and remote sensing technology for climate hazard detection. Enhancing time-series forecasting to inform risk planning at the asset level. Integrating simulation data with ML for combined physical and statistical modelling. What We're Looking For Demonstrated leadership More ❯

s looking for experienced Quantitative Modellers to join their high-performing research team. This is a small, collaborative group of hands-on engineers, data scientists, and quants developing advanced predictive models across a range of sports and markets. The main focus right now is on finding candidates with a strong background in cricket, soccer, or basketball, though the team … would also be highly interested in profiles with experience in US sports such as the NBA, NFL, College Basketball, or NHL. You’ll need: 2+ years’ experience developing predictive models in a sports context Strong skills in Python, statistics, and probabilistic modelling A genuine passion for applying quantitative research to sports performance and markets If this sounds like More ❯

s looking for experienced Quantitative Modellers to join their high-performing research team. This is a small, collaborative group of hands-on engineers, data scientists, and quants developing advanced predictive models across a range of sports and markets. The main focus right now is on finding candidates with a strong background in cricket, soccer, or basketball, though the team … would also be highly interested in profiles with experience in US sports such as the NBA, NFL, College Basketball, or NHL. You’ll need: 2+ years’ experience developing predictive models in a sports context Strong skills in Python, statistics, and probabilistic modelling A genuine passion for applying quantitative research to sports performance and markets If this sounds like More ❯

s looking for experienced Quantitative Modellers to join their high-performing research team. This is a small, collaborative group of hands-on engineers, data scientists, and quants developing advanced predictive models across a range of sports and markets. The main focus right now is on finding candidates with a strong background in cricket, soccer, or basketball, though the team … would also be highly interested in profiles with experience in US sports such as the NBA, NFL, College Basketball, or NHL. You’ll need: 2+ years’ experience developing predictive models in a sports context Strong skills in Python, statistics, and probabilistic modelling A genuine passion for applying quantitative research to sports performance and markets If this sounds like More ❯

s looking for experienced Quantitative Modellers to join their high-performing research team. This is a small, collaborative group of hands-on engineers, data scientists, and quants developing advanced predictive models across a range of sports and markets. The main focus right now is on finding candidates with a strong background in cricket, soccer, or basketball, though the team … would also be highly interested in profiles with experience in US sports such as the NBA, NFL, College Basketball, or NHL. You’ll need: 2+ years’ experience developing predictive models in a sports context Strong skills in Python, statistics, and probabilistic modelling A genuine passion for applying quantitative research to sports performance and markets If this sounds like More ❯

a Data Product Manager , you'll take ownership of the company's data platform and ML ecosystem - shaping how massive-scale datasets (hundreds of millions of data points) power predictive models, data quality, and AI-driven insights. The Opportunity You'll drive the roadmap and vision for a modern data platform underpinning core AI products, collaborating closely with data … complex data workflows and ML pipelines Ensuring model quality and performance Partnering cross-functionally across engineering, science, and product Tech Stack: Spark, Cassandra, Redshift AI/ML Use Cases: Predictive click models, data quality optimization, GenAI search applications What You'll Bring 5-10 years' experience overall, with 3+ years in data engineering or data science Proven experience managing More ❯

a Data Product Manager , you'll take ownership of the company's data platform and ML ecosystem - shaping how massive-scale datasets (hundreds of millions of data points) power predictive models, data quality, and AI-driven insights. The Opportunity You'll drive the roadmap and vision for a modern data platform underpinning core AI products, collaborating closely with data … complex data workflows and ML pipelines Ensuring model quality and performance Partnering cross-functionally across engineering, science, and product Tech Stack: Spark, Cassandra, Redshift AI/ML Use Cases: Predictive click models, data quality optimization, GenAI search applications What You'll Bring 5-10 years' experience overall, with 3+ years in data engineering or data science Proven experience managing More ❯