51 to 75 of 145 Predictive Modelling Jobs in London

programmes, this company consistently delivers creative solutions to help clients solve business issues and make better-informed decisions. This company has four core specialisms: predictive models; segmentation; brand strategy; and product & service optimisation. Customer analytics will play a key role in all of these areas. The Role They are More ❯

opportunity to join a growing team, working directly with our founders in our awesome office based in Covent Garden, London. Responsibilities: Design and implement predictive models that enable profitable trading decisions. Develop and maintain tools to assist clients in gaining insights from noisy data and understand the sports betting More ❯

role is to serve as the analytical backbone between EU Surface Transportation and Amazon's Middle Mile Transportation Technology team, using advanced simulations and predictive modeling to optimize time and cost across vendors, warehouses, and carriers. The systems you influence will handle thousands of requests per second, impact billions More ❯

measure support effectiveness Implement A/B testing frameworks for support automation initiatives Use data to identify patterns and opportunities for proactive support Create predictive models that anticipate customer needs and potential issues Key Metrics You'll Own Technical Efficiency Gains: Quantifiable time savings from automations and integrations System More ❯

provision. You will work closely with key business stakeholders to identify opportunities to drive value from data and lead the development of advanced analytics & modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify … with data protection law and that we are upholding our values and ethics in how we use data. Nature of the Role: Data Analysis & modelling Clean, preprocess, and validate behaviour and health data to ensure accuracy and reliability of analyses. Produce and present insightful analysis from multiple large data More ❯

Analyst responsibilities will include: Lead strategic analysis projects focused on customer retention and engagement, identifying trends and behaviors that drive long-term engagement Develop predictive models and segmentation strategies to forecast customer churn, optimise retention campaigns, and personalise customer journeys Design and deliver insightful dashboards and reports to track … skills and experience: Proven experience SQL Strong expertise in customer analytics, with a track record of using data to drive engagement strategies Proficiency in predictive modelling and segmentation techniques to optimize customer journeys. Hands-on experience with data visualization tools (e.g., Tableau, Power BI) to create intuitive, actionable More ❯

Analyst responsibilities will include: Lead strategic analysis projects focused on customer retention and engagement, identifying trends and behaviors that drive long-term engagement Develop predictive models and segmentation strategies to forecast customer churn, optimise retention campaigns, and personalise customer journeys Design and deliver insightful dashboards and reports to track … skills and experience: Proven experience SQL Strong expertise in customer analytics, with a track record of using data to drive engagement strategies Proficiency in predictive modelling and segmentation techniques to optimize customer journeys. Hands-on experience with data visualization tools (e.g., Tableau, Power BI) to create intuitive, actionable More ❯

their search for a talented Quantitative Analyst to join their London based team. The successful candidate will use the extensive datasets to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions. This research will involve a mix of well-executed analyses and innovative … modelling to solve unique challenges in football analytics, where traditional methods often need to be adapted or reinvented. To achieve this, you will have the freedom to explore and develop your own ideas while working collaboratively with a team of quants, developers, and analysts, to combine technical expertise with … football knowledge. Key Requirements: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in More ❯

their search for a talented Quantitative Analyst to join their London based team. The successful candidate will use the extensive datasets to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions. This research will involve a mix of well-executed analyses and innovative … modelling to solve unique challenges in football analytics, where traditional methods often need to be adapted or reinvented. To achieve this, you will have the freedom to explore and develop your own ideas while working collaboratively with a team of quants, developers, and analysts, to combine technical expertise with … football knowledge. Key Requirements: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in More ❯

Type: Contract • Requires commuting to Dublin once a month • Sector: Technology Required Skills: • LLM (Latent Log-linear Model) : Expertise in using LLM for advanced predictive modelling and analysis. • Data Bricks : Proficiency with Databricks platform for big data processing and analytics. • Machine Learning : Strong background in developing and deploying More ❯

Adobe Target, VWO, Optimizely, HotJar etc Knowledge of data science. This doesn’t need to be super in depth, but you must understand clustering, predictive modelling etc Strong communication and story telling skills a must have HOW TO APPLY If this sounds like the role for you, swiftly More ❯

Adobe Target, VWO, Optimizely, HotJar etc Knowledge of data science. This doesn’t need to be super in depth, but you must understand clustering, predictive modelling etc Strong communication and story telling skills a must have HOW TO APPLY If this sounds like the role for you, swiftly More ❯

Technical & Solutioning Experience Good hands-on experience in technical development, architecture, and solution design in public sector projects. Expertise in analytics (BI, data engineering, predictive modelling). Experience with security, compliance, and data governance standards Ability to create compelling value propositions, executive summaries, and pricing models. Soft Skills More ❯

Type: Contract Requires commuting to Dublin once a month Sector: Technology Required Skills: LLM (Latent Log-linear Model): Expertise in using LLM for advanced predictive modelling and analysis. Databricks: Proficiency with Databricks platform for big data processing and analytics. Machine Learning: Strong background in developing and deploying machine More ❯

Type: Contract Requires commuting to Dublin once a month Sector: Technology Required Skills: LLM (Latent Log-linear Model): Expertise in using LLM for advanced predictive modelling and analysis. Data Bricks: Proficiency with Databricks platform for big data processing and analytics. Machine Learning: Strong background in developing and deploying More ❯

trading strategies across global equities, futures, and systematic macro asset classes. Key Responsibilities: Conduct advanced statistical analysis on financial data to identify and develop predictive models for trading strategies across various asset classes. Lead full-cycle quantitative research and strategy development, including idea generation, backtesting, portfolio construction, risk management More ❯

to enable deep-dive analysis of inventory performance across multiple dimensions (ASIN/GL/Sub-category/LOB/Brand level). Build predictive models for seasonal demand forecasting and inventory planning, supporting critical business events and promotions. Create scalable solutions for tracking deal inventory readiness for small More ❯

development of executive-level reporting and insights • Lead advanced analytics projects to identify business opportunities • Design and implement metrics to track organizational health • Create predictive models to support strategic decision-making Stakeholder Management • Partner with Sales Leadership team to support their sales operational needs • Manage complex, cross-functional program More ❯

of technology to solve all kinds of problems. Experience in the data science, analytics, or big data markets preferred. 5+ years of experience with predictive modeling and an understanding of relational data structures and SQL. Programming in Python/R would be a bonus. Experience working with cloud infrastructures More ❯

development of executive-level reporting and insights Lead advanced analytics projects to identify business opportunities Design and implement metrics to track organizational health Create predictive models to support strategic decision-making Stakeholder Management Partner with Sales Leadership team to support their sales operational needs Manage complex, cross-functional program More ❯

interest in AI/ML and its application to drug discovery. Knowledge of pharmacokinetics and ADME data interpretation. Experience applying machine learning techniques for predictive modeling and generative molecule design. Proficiency in Python, OpenEye toolkits, RDKit, and other relevant computational chemistry tools. Working Location: This position is based at More ❯

seeking a Junior Data Scientist to join our client’s London-based fintech team, where you will work with large-scale financial datasets, develop predictive models, and support data-driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial … datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product … cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix of office and More ❯

seeking a Junior Data Scientist to join our client’s London-based fintech team, where you will work with large-scale financial datasets, develop predictive models, and support data-driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial … datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product … cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix of office and More ❯

and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define … the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance … Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management More ❯

will be responsible for defining and implementing the global data science strategy for Merlin. This will facilitate the use of huge datasets to build predictive models and generate actionable insights for the business. The introduction of AI and Machine Learning is especially important to explore the improvement of internal … advanced analytics and AI as central pillars in the decision-making processes. Cultivate a strong data-first mindset by embedding AI, machine learning, and predictive modelling into business operations to tackle complex challenges and inform smarter strategies. Recruit, inspire, and develop a skilled team of Data Scientists while More ❯