126 to 150 of 246 Predictive Modelling Jobs in the UK

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 ❯

innovation and delivery of AI solutions, encompassing both traditional and generative approaches. AI Strategy & Implementation: Develop and execute the company's AI strategy, encompassing both traditional AI techniques (e.g., predictive modeling, classification, regression) and Generative AI models. Identify opportunities to apply these technologies to improve guest experiences, streamline operations, and increase profitability. Project Management: Oversee a portfolio of AI More ❯

and refining statistical models in SAS — including propensity , sentiment , behavioural , density , and survival models . Key Requirements: Strong, hands-on SAS programming experience – essential Proven experience in statistical or predictive modelling (any industry background) Ability to design, build, and validate models such as propensity , sentiment , or survival models Experience in model oversight, validation, or governance Strong STEM related … education Analytical mindset with a drive to challenge and improve modelling frameworks Comfortable working both independently and collaboratively in a changing environment This is a great opportunity to join a business investing heavily in analytics, where you’ll have real influence over how statistical modelling evolves and develops. If you’re a SAS Modeller with a passion for … statistical modelling and real-world problem solving — from propensity to sentiment and everything in between — this could be the perfect next step. Please apply for full job & interview details. West Midlands HQ – 2 days per week on-site Permanent | £45,000 – £50,000 + benefits Please note: All applicants must have the legal right to work in the UK 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 ❯

Data Engineering, Data Science, and cross-functional product teams. The role is hands-on, execution-focused, and ideal for a technically fluent PM with experience in data-intensive products , predictive modelling, and complex workflows—but not responsible for architectural decisions. Requirements: 5–10 years’ experience, with 3+ years in Data Engineering or Data Science Strong data and analytics More ❯

on effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to non-technical More ❯

on effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to non-technical 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 ❯

to £65,000 + package Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools 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 ❯

+ Bonus We're looking for an Analytics Manager to lead the development and delivery of analytics solutions across the business - from Power BI dashboards and predictive forecasting to Python automation and data-driven strategy. This is an opportunity to own analytics end-to-end, working closely with senior stakeholders to turn insight into action and shape how data … informs every decision we make. What You'll Do Design and deploy Power BI dashboards and reporting solutions Build predictive models that support forecasting and strategic planning Use Python and SQL to automate, analyse, and uncover value Drive best practice in data quality, governance, and storytelling Mentor and inspire a growing team of data specialists What You'll Bring … Proven experience in analytics or BI (preferably within professional services) Strong skills in Power BI, DAX, SQL, and Python Experience with predictive modelling or statistical analysis A proactive, commercial mindset and ability to translate data into decisions What We Offer Hybrid working - 2 days from home? Bonus scheme? Private healthcare? Learning and development opportunities? Collaborative, data-driven culture More ❯

annual bonus Reports to: Head of Analytics & Consulting Start date: November 2025 (ASAP start preferred) About the Company Our client is a leading analytics and management consultancy that combines predictive analytics , machine learning , and systems thinking to help major organisations make evidence-based strategic decisions. With over five decades of research heritage in identifying the drivers of profitability and … with data, and applying scientific thinking to real-world business challenges. Key Responsibilities Support consulting projects with data analysis, research, and performance benchmarking. Build and maintain datasets, dashboards, and predictive models to inform strategic recommendations. Conduct quantitative and qualitative research to identify key drivers of profitability and growth. Translate complex data into clear, actionable insights and visual reports for … R, Power BI, or SQL is advantageous. Clear and confident communicator, comfortable presenting insights to senior stakeholders. Intellectually curious, methodical, and motivated by solving complex problems. Genuine interest in predictive analytics , business strategy , and data-driven consulting . Available to start immediately or by November 2025. What’s on Offer Competitive salary of £35,000 - £40,000 plus annual More ❯

jobs as well as real time streaming data) 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 Experience using Microsoft Azure 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 ❯

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 ❯

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 ❯

breadth of interesting commercial projects. The role is end to end focused. Your responsibilities as a Machine Learning Engineer will include but not be limited to: Developing and deploying predictive models and algorithms for commercial projects with a particular focus on LLMs and RAGs. Collaborate with cross-functional commercial and business teams, to understand business requirements and identify opportunities 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 ❯

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 ❯

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 ❯