26 to 50 of 149 Predictive Modelling Jobs in the UK excluding London

help turn complex data into clear, actionable insights. In this role, you will be instrumental in extracting valuable insights from vast datasets, developing predictive models, and contributing to data-driven decision-making across various business functions. Collaborating with stakeholders from areas such as Fraud, Responsible Gambling, Trading and Branding ...

help turn complex data into clear, actionable insights. In this role, you will be instrumental in extracting valuable insights from vast datasets, developing predictive models, and contributing to data-driven decision-making across various business functions. Collaborating with stakeholders from areas such as Fraud, Responsible Gambling, Trading and Branding ...

leading UK organisation undergoing an ambitious data and AI transformation. Operating across multiple locations, they are investing heavily in modern analytics, machine learning and predictive modelling capabilities to support smarter decision-making and long-term business growth. Description Lead AI/ML Engineer Engage with business stakeholders … understand operational and commercial challenges and translate them into AI and predictive analytics solutions. Design, build and deploy machine learning models focused on forecasting, prediction and optimisation. Develop solutions around areas such as demand forecasting, pricing, revenue, capacity and operational planning. Work with data held within Databricks and Azure ...

capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers …/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time-series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications data) for analytics ...

applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch … Knowledge of analytical techniques and experience in manipulating and deriving insight from data.Python coding experience, knowledge of SQL and the ability to use statistical modelling techniquesas this will form a part of the assessments. Locations Bristol,Edinburgh,Halifax,Leeds,London,Manchester. You will be expected to work inyourallocatedoffice ...

applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch … Knowledge of analytical techniques and experience in manipulating and deriving insight from data.Python coding experience, knowledge of SQL and the ability to use statistical modelling techniquesas this will form a part of the assessments. Locations Bristol,Edinburgh,Halifax,Leeds,London,Manchester. You will be expected to work inyourallocatedoffice ...

applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch … analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations LocationsBristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your ...

applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch … analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your ...

will help clients unlock the value of their data, improve operational performance, and establish sustainable, insight‐led approaches to transformation. Responsibilities Develop and deploy predictive models, machine learning solutions, and data‐driven applications to address public sector challenges. Work with public sector clients to translate complex business and policy ...

engineering velocity. Requirements Key Responsibilities: Core AI Solution Design: Design, build, and maintain scalable AI architectures and pipelines that support business requirements, ranging from predictive modelling to Generative AI applications. LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling … Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive Salary Bonus ...

Functional Collaboration: Partner with purchasing, asset managers, warehousing, and transportation teams to track KPIs and implement new tracking* Innovation: Utilize AI-assisted analytics and predictive modelling tools to spot recurring patterns and anomalies in supply data.***Basic qualifications/Requirements:**** Education: Bachelor’s degree in supply chain management ...

Senior Pricing Analyst to join their Pricing and Proposition team within the Telematics Pricing function. The role will use behavioural data, advanced analytics and predictive modelling to shape pricing strategy, improve risk selection and drive portfolio performance. You will work closely with pricing and telematics specialists, using your … technical expertise to influence key business decisions and support the development of the telematics proposition. Key Responsibilities Develop and enhance predictive pricing models, identifying opportunities to improve performance and commercial value. Work with high-volume telematics and sensor-based data to generate actionable pricing insights. Develop analytical frameworks, reporting ...

looking for a Product Intelligence Data Scientist to build a unified intelligence layer that transforms raw usage signals, behavioral data, and lifecycle events into predictive, prescriptive insights — enabling teams to act on what the product is telling us, not just what gets reported. You will own the analytical models … levers using experimentation methods Translate complex product signals into lifecycle intelligence that drives prioritization — surfacing what to build, fix, or sunset Build and own predictive models that quantify adoption maturity, churn risk, expansion propensity, and feature-market fit from product telemetry Design behavioral segmentation and cohort frameworks that reveal ...

eCommerce marketing. Proactively lead the design, development and deployment of data science solutions that inform marketing strategy and execution. Build Marketing Mix Modeling (MMM),predictive modelling, lifetime value prediction, churn analysis, marketing attribution and channel optimisation. Partner with marketing stakeholders to test, learn and optimise campaigns through experimental … PowerBI/Looker. Experienced running Geolift test, causal inference model, and other forms of experimental design. Solid foundation in machine learning, statistics, econometric modelling,analytical and problem solving skills Strong communication skills with the ability to translate complex data insights into actionable business strategies. Preferred experience in the eCommerce ...

eCommerce marketing. Proactively lead the design, development and deployment of data science solutions that inform marketing strategy and execution. Build Marketing Mix Modeling (MMM), predictive modelling, lifetime value prediction, churn analysis, marketing attribution and channel optimisation. Partner with marketing stakeholders to test, learn and optimise campaigns through experimental … PowerBI/Looker. Experienced running Geolift test, causal inference model, and other forms of experimental design. Solid foundation in machine learning, statistics, econometric modelling, analytical and problem solving skills Strong communication skills with the ability to translate complex data insights into actionable business strategies. Preferred experience in the eCommerce ...

eCommerce marketing. Proactively lead the design, development and deployment of data science solutions that inform marketing strategy and execution. Build Marketing Mix Modeling (MMM), predictive modelling, lifetime value prediction, churn analysis, marketing attribution and channel optimisation. Partner with marketing stakeholders to test, learn and optimise campaigns through experimental … PowerBI/Looker. Experienced running Geolift test, causal inference model, and other forms of experimental design. Solid foundation in machine learning, statistics, econometric modelling, analytical and problem solving skills Strong communication skills with the ability to translate complex data insights into actionable business strategies. Preferred experience in the eCommerce ...

Data Scientist in Manchester to drive analytics for Sales, Marketing and Finance. You will turn business questions into measurable analytics use cases and build predictive models using Python/R, SQL, and Azure, surface insights in Power BI and CRM Analytics. You will productionise data pipelines, collaborate with commercial ...

insights and storytelling. Strong strategic thinking, problem-solving, and communication skills. Preferred Experience supporting commercial, medical device, or healthcare businesses. Knowledge of advanced analytics, predictive modeling, automation, and emerging technologies. Experience working with large, global data environments and cross-regional teams. Familiarity with data governance, privacy, and regulatory requirements ...

leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Enhancing your leadership style, you motivate, develop and inspire others ...

Python coding skills. A track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions. Solid grounding in data architecture, modelling and modern data platform design. Cloud experience, preferably AWS, and familiarity with CI/CD and source control best practice. Desirable : More Data Science … leaning background or want to explore ML/AI & data/predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture and platform strategy. Join a small, high-impact team at the heart of the company ...

Data Scientist Berkshire - Hybrid 2 days office attendance Are you ready to shape the future of predictive analytics in financial services? We are looking for a versatile Data Scientist to help to build and scale our clients data science practice. Sitting at the heart of the Data team … will apply machine learning, predictive modelling, and statistical rigor to tackle real world business challenges across customer behaviour, risk, and pricing. What You'll Do · Build End-to-End Solutions: Scope, design, train, and deploy production-ready ML models and statistical experiments. · Shape the Platform: Collaborate with Data ...

data into compelling stories that influence business outcomes. You'll play a key role in shaping how we understand our customers, using segmentation and predictive modelling to drive smarter decisions and measurable growth. You'll work independently, owning projects and stakeholder relationships, while being part of a close … projects that support strategic Product and Marketing initiatives Developing customer insights that inform targeting, positioning, and growth strategies Building and deploying segmentation models and predictive models to better understand customer behaviour Translating complex analysis into clear, engaging narratives that drive action Managing stakeholders across Product and Marketing, aligning analytical ...

warehouses, with Snowflake experience a plus.• Experience designing propensity, risk, retention, migration, or customer value models.• Familiarity with customer segmentation techniques, behavioural analytics, and predictive modelling approaches.• Exposure to Power BI or other visualisation tools for communicating insights effectively.• Experience working across commercial, product, finance, and strategy functions. ...

cost drivers to identify trends, risks and opportunities. Develop repeatable frameworks for measuring business impact and value creation. Apply advanced analytics, forecasting and predictive modelling techniques to optimise performance. Evaluate the effectiveness of business initiatives using robust statistical methods. Translate complex data into clear, actionable recommendations for senior ...

architecture and lifecycle of the data platform, covering ingestion, storage, analytics and machine learning Enable data science and advanced analytics use cases including predictive models, experimentation, AI and GenAI within a governed environment Ensure the platform supports secure access to structured and unstructured data, including client, matter, financial ...