26 to 50 of 88 Predictive Modelling Jobs in the UK

dashboards, reports, or deployed models - confirming benefit before scaling, iterating, or stopping. Provide technical expertise in data science and machine learning (statistical and predictive modelling, LLMs, causal inference), ensuring fit-for-purpose solutions where a model is one option among several. Build scalable frameworks for productionising pilots … project risk. Technical leadership The postholder will be expected to bring practical, hands-on skill across data science and machine learning, spanning statistical and predictive methods, LLMs, causal inference and experimental methods, and bespoke workflows. Develops sustainable ways to move pilots into production alongside data engineering, and offers technical ...

automation • Power BI/Tableau/Looker experience • AWS/cloud analytics exposure • Experience designing analytical datasets and reporting solutions • Understanding of statistical or predictive modelling concepts is a bonus Please do apply should this sound like ...

fast moving business, comfortable establishing best practices independently. Forward-Thinking: Familiarity with or strong interest in leveraging AI-powered analytics and automation for predictive modeling and forecasting is beneficial Why Join Us? Even if you dont tick every single box on this list, please apply anyway! We value ...

data wrangling, feature engineering, and scalable data pipelines.* **Depth Experience:** in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement ...

attitude, strong analytical skills, and a meticulous approach to breaking down complex matters into more understandable details. The purpose of Payment Behavior Analysis and Modelling (PBAM) is to identify and investigate unusual customer transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective … workflows and in building dashboards and reports. Solid understanding of data warehousing concepts and architectures for scalable storage and retrieval. Familiar with statistical and predictive modelling techniques to support data- decisions. Demonstrable ability to document relevant information in a clear, structured and comprehensive way Excellent interpersonal and communication ...

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 ...

Data Science function to support the next phase of growth. With a new customer loyalty programme launching this year, there is significant demand for predictive modelling, personalisation, forecasting, and customer analytics. As a Mid-Level Data Scientist, you'll work closely with the Data Science Lead and wider ...

analytics, data engineering, and data science functions. While your team consumes the core platform infrastructure, you will own the implementation of analytics, customer predictive modeling, and data modeling for multiple products. Operational Agility: Navigate a "0-to-1" environment by making quick, informed decisions on data platform usage ...

management, strengthen decision-making, and support transformation objectives. By working closely with stakeholders across Risk, Technology, and the COO, the Data Scientist will integrate modelling, data management, and effective communication to enable evidence-based decisions and foster a data-driven culture within OTCR. Key Responsibilities Data Analysis & Modelling Conduct in-depth exploratory data analysis to identify trends, patterns, and anomalies across diverse datasets. Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP). Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments. Ensure models ...

profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business … improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital ...

large-scale enterprise environment. The Role We're looking for a Data Science Lead to drive the development and deployment of advanced analytics and predictive models that support business growth, pricing, fraud detection, customer retention, and operational efficiency. You'll work closely with senior stakeholders, analytics teams, and offshore … recommendations to senior business audiences. Essential Experience Proven experience leading data science projects in large, complex organisations. Strong Python and/or HX modelling experience. Track record of delivering models that drive measurable commercial outcomes. Expertise in predictive modelling, machine learning, and statistical analysis. Experience working with ...

analytics professionals. Oversee data warehousing, ETL/ELT processes, master data management, and reporting capabilities. Deliver executive dashboards, self-service BI, operational reporting, and predictive analytics solutions. Manage the Data & Analytics budget and technology roadmap. Skills & Experience Strong understanding of data warehousing, databases, analytics platforms, and ETL/… Data Management and SAP Information Steward. Experience with Microsoft Fabric, including Lakehouse, Pipelines, Warehouse, and Semantic Models. Exposure to AI and advanced analytics, including predictive modelling and machine learning concepts. Previous experience leading teams and engaging with senior stakeholders. If you have the skills and experience to lead ...

growing data-driven technology business shaping the future of digital advertising. With a strong foundation already in place, you will take ownership of advanced modelling initiatives and play a central role in scaling machine learning solutions into production. The Role You will act as the technical lead for data … science, partnering closely with engineering to deliver production-ready models that drive measurable impact. Lead the development of optimisation and predictive models for digital advertising campaigns Design and refine bidding algorithms in auction-based environments Build prototypes in Python and support their transition into production systems using Kotlin within ...

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 ...

/Django), or Node.js for the backend. AI/ML Integration: Work closely with Data Scientists to deploy and integrate ML models (including LLMs, Predictive Models, and NLP) into production environments via RESTful APIs. Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL) and NoSQL, (MongoDB), Snowflake ...

skills with thought leadership to deliver innovative pricing solutions that maximise value for both customers and the business. You'll provide technical leadership on modelling and optimisation, champion best practices, and coach team members to embed cutting-edge methodologies across the department. Ultimately, you'll play a pivotal role … pricing capability and ensuring we stay ahead in a fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar ...

self-serve analytics using tools like Airflow, dbt and Looker.\ N\n\nPractically used + applied AI/machine learning techniques and built predictive models to get deeper insights\ N\n\nKnowledge of the FinTech ecosystem\ N\n\nAdditional Information\ NWhat do we offer: \ N\n\nSalary ...

self-serve analytics using tools like Airflow, dbt and Looker.\ N\n\nPractically used + applied AI/machine learning techniques and built predictive models to get deeper insights\ N\n\nKnowledge of the FinTech ecosystem\ N\n\nAdditional Information\ NWhat do we offer: \ N\n\nSalary ...

real-time market data to trading infrastructure, where speed and reliability are fundamental requirements Building integrated environments where quantitative researchers develop, test, and deploy predictive models - from feature engineering through execution Architecting cloud-based simulation and experimentation platforms that support large-scale quantitative research without becoming a bottleneck Standing ...

influence strategic decision-making. The successful candidate will leverage a wide range of traditional, public, financial, and alternative datasets to uncover valuable signals, develop predictive models, and contribute to high-impact analytical projects. This role offers the opportunity to work at the intersection of data science, machine learning … fast-paced and innovative setting. Key Responsibilities Analyse large and complex structured and unstructured datasets to identify meaningful patterns, trends, and opportunities. Develop predictive models and advanced analytical solutions that support critical business and research objectives. Partner closely with stakeholders to understand key challenges and translate data into actionable ...

applying AI and analytics to real-world operational challenges. They offer a collaborative, innovation-led environment with clear growth opportunities. The Role Build predictive models using time series and operational data Work directly with clients to shape and refine solutions Present insights through dashboards, reports, and workshops Support … Strong commercial experience in a client-facing or consulting role Ability to communicate technical concepts clearly Python and core data science toolkit Experience with predictive modelling and real-world data Exposure to time series, IoT, or industrial data ...

interfaces, and internal applications using JavaScript, HTML, CSS, React, Node.js , & other modern web technologies. Work alongside CRM, Machine Learning, Data, & Operations teams to integrate predictive models, automation tools, and analytical insights into operational workflows. Use AI-assisted development tools, such as Codex or similar. Provide technical oversight & support ...

decade pioneering scientific advances in this domain. Despite the complexity, successful outcomes are immediate and unambiguous. Responsibilities Lead and conduct original research on predictive models, novel data sets, risk management, and portfolio optimization Develop a rich understanding of Voleon's domain, challenges, and methodologies Define the research agenda ...

enhance supply chain performance. This is an exciting opportunity for an analytically minded professional with a strong foundation in statistics and experience applying advanced modelling techniques to real-world business problems. Working closely with cross-functional stakeholders, you will leverage statistical modelling, machine learning, and predictive analytics … improve forecasting accuracy, optimise inventory, and drive operational efficiency. Key Responsibilities: Apply statistical modelling and machine learning techniques to address supply chain challenges, including demand forecasting, inventory optimisation, and replenishment planning. Develop, test, validate, and deploy predictive models using robust statistical methodologies, including regression analysis, time series forecasting ...

Role Joining a well-established Protection Insurance provider, you'll play a key role in shaping pricing strategy through advanced analytics, machine learning and predictive modelling click apply for full job details ...