76 to 100 of 143 Predictive Modelling Jobs in 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 ❯

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 ❯

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 ❯

development for test automation (Python, C++, or C#). Experience with metaheuristic optimisation (e.g., GA, simulated annealing, particle swarm). Experience with AI/ML techniques (e.g., reinforcement learning, predictive modelling) for test optimisation. You should have a collaborative mindset to work closely with hardware engineers and manufacturing teams. A familiarity with production test time optimisation in semiconductor More ❯

experience with AWS, Azure enhance the Customer Data Platform (Twilio Segment), and drive insight-led decision-making across the business. You'll also play a key role in embedding predictive models like CLV and propensity scoring into core systems and processes. Were seeking a hands-on data leader with strong experience in cloud architecture, Data engineering, data governance, BI 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 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 ❯

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 ❯

places Data Science at the heart of its business, using cutting-edge UK property data to deliver powerful insights for real estate partners and retailers. By leveraging advanced analytics, predictive modelling, and customer segmentation, the company helps clients better understand and engage with their audiences, improving marketing precision, timing, and overall performance. With a strong technical foundation and 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 ❯

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 ❯

Develop and implement data science strategies to support organisational objectives. Collaborate with cross-functional teams to identify and solve complex data challenges. Oversee the design, development, and deployment of predictive models and algorithms. Ensure compliance with data governance and ethical guidelines in all analytics activities. Provide mentorship and professional development opportunities for team members. Communicate findings and actionable insights … Profile A successful Head of Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine More ❯

REMOTE Role PurposeAs a D365 CE Lead, you will be responsible for designing and delivering intelligent, data-driven customer engagement strategies across multiple channels. You will leverage behavioural insights, predictive modelling, and segmentation to drive relevance, increase customer retention, and grow customer lifetime value.Key Responsibilities Next Best Section (NBS) Decisioning- Develop and maintain a model that recommends the More ❯

Role Purpose As a D365 CE Lead, you will be responsible for designing and delivering intelligent, data-driven customer engagement strategies across multiple channels. You will leverage behavioural insights, predictive modelling, and segmentation to drive relevance, increase customer retention, and grow customer lifetime value. Key Responsibilities Next Best Section (NBS) Decisioning - Develop and maintain a model that recommends More ❯

integrate new monitoring solutions and emerging technologies to enhance efficiency and service quality. Data-Driven Monitoring: Use metrics, logs, telemetry, and analytics to detect anomalies, identify trends, and develop predictive models and advanced alerting systems. Collaborate Across Teams: Work with Product, Core Engineering, Video Engineering, and Architecture teams to align monitoring capabilities with market needs and overall product architecture. More ❯

fuel strategic conversations. Keep the pulse of the business alive with evolving dashboards and insights that matter. Collaborate across teams to reshape how data flows and informs action. Explore predictive models and machine learning to unlock what's next. Deliver sharp insights that help teams make smarter, customer-first decisions. Harness a powerful tech stack - from Salesforce Media Cloud … drive clarity. Elevate reporting with stakeholders, turning complexity into crisp, actionable views. Spot gaps, surface opportunities, and help business units stay ahead of the curve. Dive into forecasting, financial modelling, and storytelling through data. Collaborate globally, connecting dots across departments to fuel long-term strategy. Lead the shift to a new BI system (Domo), transforming how insights are shared … job opportunity Excellent communication skills and the ability to communicate your role to analytical business partners Ability to make practical connections from data to business results Financial/data modelling experience Confident working with data using SQL - building queries that unlock insights. Skilled in using Python to explore, shape, and make sense of complex datasets. You will bring financial 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 ❯

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 ❯