26 to 50 of 95 Predictive Modelling Jobs

want to build data products, not just models? Have you worked on predictive analytics that directly shape customer strategy? Are you ready to own product innovation from concept to launch? A UK-based data and analytics business is hiring a Data Scientist to support the design and delivery … proprietary data products, giving you exposure to both real-world commercial problems and scalable internal product builds. Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This is a strong opportunity for someone who wants broader ...

Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring … engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ...

closely with cross-functional teams to integrate data insights into marketing campaigns, product development, and commercial strategies. Utilize advanced analytics techniques, including machine learning, predictive modelling, and statistical analysis, to generate deeper insights. Establish and enforce data governance policies to ensure data quality, consistency, and compliance with regulatory ...

robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical ...

robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical ...

/Knowledge Essential Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Skills/Knowledge Essential Excellent communication skills, with experience presenting analytical outputs clearly to both ...

inc. (PAYE through Umbrella) Role Description: SAS Model Development & Enhancement (SAS Model Developer) 1. Design, develop, and implement statistical, pricing, or predictive models using SAS. 2. Build modelling datasets, feature engineering pipelines, and variable transformations. 3. Implement model logic, segmentation rules, scoring code, and scenario simulations. 4. Translate … experience in: 1. SAS Base, SAS Macros, Data Step programming 2. SAS SQL 3. SAS Enterprise Guide or SAS Studio Strong understanding of modelling concepts such as: 1. Regression (linear/logistic) 2. Time-series forecasting 3. Segmentation models 4. Risk, pricing, or predictive modelling Experience with ...

function. Take ownership of high-impact use cases spanning marketing, pricing, de\mand forecasting and AI innovation. Design and oversee the delivery of predictive models and advanced analytics solutions that unlock new revenue opportunities. Partner with senior leadership across Growth, Strategy and Technology to embed scalable data science solutions ...

Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/or Terraform (desirable) What You Will Learn & What Liquidline Can Offer You Being a part of Liquidline is more ...

Machine Learning Data Scientist into a highly visible front-office AI Lab environment. The team is focused on applying advanced ML, neural networks, and predictive modelling techniques to highly complex portfolio, equities, and client behaviour problems within a large-scale Prime business generating substantial annual revenues. The environment … impact quickly. Interesting opportunity for individuals coming from: front-office banking systematic trading quant research applied AI/ML electronic trading hedge funds advanced predictive analytics environments Interview process includes technical deep-dives and presentation of prior projects/implementations. London based. Message me directly for a confidential discussion. ...

opportunities Develop dashboards and reporting frameworks that track retention, conversion, and customer lifetime value Support campaign targeting and personalisation through segmentation, cohort analysis, and predictive modelling Evaluate campaign effectiveness through pre- and post-analysis, measuring uplift, ROI, and channel performance Lead on customer satisfaction and advocacy analysis, using ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

improve data accessibility • Lead dashboard, reporting and insight transformation initiatives • Partner with senior stakeholders to identify and prioritise high-value opportunities • Guide development of predictive models , forecasting tools and ML-driven solutions • Collaborate with Product, Engineering and Governance teams to deliver measurable business impact • Build a culture of experimentation ...

working in enterprise analytics or customer intelligence environments Key Skills Databricks, Python, PySpark, SQL, Data Engineering, Data Analytics, Model Monitoring, KPI Development, Customer Analytics, Predictive Modeling, Marketing Analytics, Notebook Development, Data Standardization, Decisioning Analytics, Stakeholder Collaboration Success Metrics Creation of reusable and scalable analytical assets for enterprise use Reduction ...

cloud technologies Developing Python-based data pipelines and integrating multiple data sources Working across the full lifecycle: discovery → POC → delivery Supporting data science and predictive modelling use cases Engaging directly with stakeholders to understand requirements and shape solutions What They’re Looking For Strong experience in data engineering ...

value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work ...

deliver data products that support operational decision-making, optimisation and intelligent systems development. You will work across large-scale datasets to uncover patterns, build predictive models and develop scalable data solutions that directly influence business performance and product strategy. The role offers the chance to work closely with Engineering ...

analytics adoption and improving data literacy across the organisation. Overseeing the redesign and rationalisation of dashboards and reporting. Guiding the development and deployment of predictive models and machine learning solutions. Acting as a senior advisor to leadership teams, championing data driven decision making. Partnering with data product, engineering, governance ...

standards, regulatory submission processes, vendor data exchange practices Advanced Analytics & AI Exposure Awareness of AI-driven accelerators (WinAIDM, Fabric Copilot); exposure to RWE and predictive modeling in clinical trials Certifications/Good to Have CBAP, PMI-PBA, IIBA; Microsoft certifications (DP-600, DP-203) Expected Outcomes Phase 1 Clinical ...

platform backbone - identity, auth, entitlements, billing, and the infrastructure everything else depends on. Intelligence is the layer above the data - AI-powered insights, predictive models built on Databricks and Snowflake, anomaly detection, and agentic features. This is a full-stack role. You'll own features from the data layer ...