26 to 49 of 49 Predictive Modelling Jobs in Central London

future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural More ❯

established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside a team of Quants, Developers, and Analysts. Due to the nature of the business this is … mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases More ❯

tweaking how automated decisions are being made Requirements: Proven experience in applying data analysis and machine learning to real-world problems Proven experience managing production data pipelines Understanding of predictive modelling, machine-learning, clustering and classification techniques Fluency in Python and SQL Nice to have: Experience using Databricks Experience using Microsoft Azure Experience with RabbitMQ and Docker Experience More ❯

tweaking how automated decisions are being made Requirements: Proven experience in applying data analysis and machine learning to real-world problems Proven experience managing production data pipelines Understanding of predictive modelling, machine-learning, clustering and classification techniques Fluency in Python and SQL Nice to have: Experience using Databricks Experience using Microsoft Azure Experience with RabbitMQ and Docker Experience More ❯

ownership from design to deployment. Responsibilities Develop and maintain the quant technology stack supporting systematic crypto trading. Lead applied AI/ML initiatives, including anomaly detection, LLM integration, and predictive modelling. Design and deploy scalable, real-time applications using deep learning and statistical techniques. Collaborate with Researchers and Traders to implement and optimise automated trading strategies. Integrate alternative datasets More ❯

reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. … years' experience in data analytics, data engineering, software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks. Developed Azure cloud experience More ❯

pricing models across European markets. • Analyse pricing performance, competitor trends, and customer data to inform strategy. • Manage pricing data and governance within the ERP system. • Build customer segmentation and predictive models to drive personalisation. • Design and assess A/B tests and other experiments to evaluate commercial impact. • Provide actionable insights and dashboards for commercial, marketing, and finance teams. … environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths, Economics, Physics) is advantageous. Personal Attributes: • Results-driven, pragmatic, and focused on continuous improvement. • Takes ownership and shows tenacity in More ❯

pricing models across European markets. • Analyse pricing performance, competitor trends, and customer data to inform strategy. • Manage pricing data and governance within the ERP system. • Build customer segmentation and predictive models to drive personalisation. • Design and assess A/B tests and other experiments to evaluate commercial impact. • Provide actionable insights and dashboards for commercial, marketing, and finance teams. … environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths, Economics, Physics) is advantageous. Personal Attributes: • Results-driven, pragmatic, and focused on continuous improvement. • Takes ownership and shows tenacity in More ❯

industry , either institutional or regulatory side, or a consultant supporting financial institutions/reviewing from a regulatory perspective. Knowledge of IFRS9 , Fraud detection and experience with Credit scoring and predictive modelling for financial institutions. If you’re interested in finding out more, please apply and your application will be reviewed by Ian Tittley at Investigo! Principal Data Scientist More ❯

industry , either institutional or regulatory side, or a consultant supporting financial institutions/reviewing from a regulatory perspective. Knowledge of IFRS9 , Fraud detection and experience with Credit scoring and predictive modelling for financial institutions. If you’re interested in finding out more, please apply and your application will be reviewed by Ian Tittley at Investigo! Principal Data Scientist More ❯

time to look for your next role? A profitable, independently funded technology AI start-up is hiring React Native Engineers to help scale its AI-powered data visualisation and predictive modelling platform, used by over 2.5 million professionals worldwide , including senior leaders, academics, and government teams. The platform underpins key digital offerings for major global institutions and enables More ❯

time to look for your next role? A profitable, independently funded technology AI start-up is hiring React Native Engineers to help scale its AI-powered data visualisation and predictive modelling platform, used by over 2.5 million professionals worldwide , including senior leaders, academics, and government teams. The platform underpins key digital offerings for major global institutions and enables More ❯

video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). More ❯

video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). More ❯

governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven campaigns. Enable real … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes More ❯

governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven campaigns. Enable real … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯