226 to 241 of 241 Predictive Modelling Jobs in the UK

Dashboarding & Reporting Build and maintain executive-level dashboards to surface the most important insights Elevate the teams data literacy and decision-making through accessible and high-impact reporting Tooling & Predictive Analytics Support the setup and optimisation of Amplitude to improve experimentation workflows (event setup by engineering) Leverage Python and SQL to deliver predictive models and analysis where valuable More ❯

Reporting Build and maintain executive-level dashboards to surface the most important insights Elevate the team’s data literacy and decision-making through accessible and high-impact reporting Tooling & Predictive Analytics Support the setup and optimisation of Amplitude to improve experimentation workflows (event setup by engineering) Leverage Python and SQL to deliver predictive models and analysis where valuable More ❯

Affordability models: using both bureau and open banking data, create transaction classification models and derive the amounts that are safe for each individual business to borrow Product improvements: use predictive models to understand the key drivers behind the conversion funnel and work hand in hand with the CPO to tailor the customer experiences accordingly Sales and distribution: use predictive 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 ❯

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 ❯

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. &##Build and refine predictive risk models in collaboration with a talented science team. Identify new and unconventional data sources to feed into those models. Partner with product teams to bring ML-powered insights into real customer-facing products. &##Front-end: TypeScript, React, Next.js, Tailwind CSS AI: Claude, Gemini, GPT (integrated for LLM … 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. Excited about being the first AI/ML hire and shaping the roadmap. Be the founding ML/AI hire set the direction More ❯

forward-looking insights into how their customer portfolio is likely to evolve over the coming years. Sales strategies and negotiations are heavily reliant on individual salesperson experience rather than predictive analytics. Additionally, the Customer Services team is structured reactively based on current conditions, rather than proactively aligned to future portfolio needs. Data Scientist Objective To scope and define how … advanced data science capabilities can enhance forecasting and strategic planning within the Mid-Market segment. The aim is to: Reduce customer churn through predictive modelling. Improve targeting and prioritisation of sales efforts. Enable proactive resource planning for Customer Services. Data Scientist Scope of Work The consultant will lead a scoping exercise to identify and prototype data science solutions that More ❯

forward-looking insights into how their customer portfolio is likely to evolve over the coming years. Sales strategies and negotiations are heavily reliant on individual salesperson experience rather than predictive analytics. Additionally, the Customer Services team is structured reactively based on current conditions, rather than proactively aligned to future portfolio needs. Data Scientist Objective To scope and define how … advanced data science capabilities can enhance forecasting and strategic planning within the Mid-Market segment. The aim is to: Reduce customer churn through predictive modelling. Improve targeting and prioritisation of sales efforts. Enable proactive resource planning for Customer Services. Data Scientist Scope of Work The consultant will lead a scoping exercise to identify and prototype data science solutions that 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 ❯