51 to 75 of 79 Predictive Modelling Jobs in the UK excluding London

impact, they're now looking to expand their engineering function with two Full Stack Developers. This is an opportunity to work on greenfield projects with real-world impact, building predictive modelling systems that power automated trading and investment strategies. Key Responsibilities Design, build, and maintain full-stack software solutions in C#/.NET* Develop predictive models for More ❯

experience Location United Kingdom, Manchester Job Type Permanent Description A national business based in Central Manchester are looking for a Senior Data Analyst to join their data analytics and modelling team. This is the perfect opportunity for an ambitious analyst! Responsibilities for the role are as follows: The successful candidate will have a strong track record developing and applying … modelling and data analytics solutions, in addition to exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability … to develop complex technical outputs and offer input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min More ❯

of the role below . A national business based with offices in Central Manchester and Leeds are looking for a Senior Data Analyst to join their data analytics and modelling team. This is the perfect opportunity for an ambitious analyst! Responsibilities for the role are as follows: The successful candidate will have a strong track record developing and applying … modelling and data analytics solutions, in addition to exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability … to develop complex technical outputs and offer input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min More ❯

you. Core responsibilities Customer insights : interpret and analyse a suite of daily, weekly, and monthly dashboards to identify key trends, opportunities, and risks across the business. Customer behaviour analysis & modelling: Carry out deep dive analyses on customer behaviour, including geo-demographics, time of day, and transactional data. Investigate drivers of retention, and providing insights into predictive models to More ❯

practice, and advanced data methodologies to build, improve and automate solutions to drive commercial excellence in decision-making. Accountabilities Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Maintain reproducible model building workflows, document experimental designs and track model performance. Create solutions across Commercial … across Pricing, Sales, and Ecommerce, to develop long-term strategic growth initiatives, and be a critical team member on project implementation. Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognise patterns, identify opportunities, pose business questions, and make valuable discoveries, leading to prototype development and product improvement. End-to-end implementation of data More ❯

from our extensive data assets. Your focus will be on applying data science techniques individually and collaboratively to generate actionable insights. Responsibilities include working with large, diverse datasets, developing predictive models, and implementing machine learning algorithms to address business challenges. You will work closely with in-house technology teams and data presentation teams across multiple locations. We value continuous … learning models Previous data science experience in a relevant role Optional but advantageous skills: Insurance industry experience Knowledge of Databricks Key activities: Develop data services including deep learning and predictive analytics Perform data analysis and collection to support these services Enhance data sources through testing external data Collaborate with team members and external partners to deliver solutions Identify opportunities More ❯

from our extensive data assets. Your focus will be on applying data science techniques individually and collaboratively to generate actionable insights. Responsibilities include working with large, diverse datasets, developing predictive models, and implementing machine learning algorithms to address business challenges. You will work closely with in-house technology teams and data presentation teams across multiple locations. We value continuous … learning models Previous data science experience in a relevant role Optional but advantageous skills: Insurance industry experience Knowledge of Databricks Key activities: Develop data services including deep learning and predictive analytics Perform data analysis and collection to support these services Enhance data sources through testing external data Collaborate with team members and external partners to deliver solutions Identify opportunities More ❯

is looking to expand its technical pricing team, hiring a PhD candidate with a strong STEM and research background. You'll join a team with a similar background, developing predictive models to gain a competitive advantage over the wider market. This will entail the development of gradient boosted models, machine learning models, and research into innovative improvements to create More ❯

centralised data platform (GCP), 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 governance, BI tooling (Power More ❯

integration and optimisation of cutting-edge systems. As a pivotal member of our Finance team, you will: Drive Strategic Initiatives : Analyse financial implications of transformation and diversification strategies, create predictive models, and support cash flow forecasting. Enhance Data Governance : Ensure data accuracy and compliance, conducting integrity checks to support audit readiness and regulatory standards. Collaborate Across Teams : Partner with More ❯

Their high team retention speaks volumes about the supportive and engaging environment they've cultivated. THE ROLE: As a Principal Software Engineer, you'll be instrumental in developing sophisticated predictive models that forecast the outcomes of sporting events. You'll be working with strong quants coming from and statistics background, with a keen eye for problem-solving. You'll More ❯

integrity across platforms Drive the adoption of business intelligence tools and dashboards that provide actionable insights to key stakeholders Support the design and delivery of advanced analytics solutions (e.g., predictive modeling, segmentation, scenario planning) to solve complex business problems About You Requirements Minimum of 5 years' experience completing detailed and complex data analysis, to drive customer, colleague and commercial … enhance visibility of the value a data product can add Prior experience developing tools within Financial Services, specifically mortgages would be advantageous Experience with Data Science techniques (e.g. statistical modelling, unsupervised or supervised Machine Learning) A broad understanding of the regulations and legal framework impacting the mortgage industry is desirable About Us Why join us Career coaching, mentoring and More ❯

back control of their health journeys. In this role you will: You'll be designing, implementing, and leading data science strategies that transform healthcare data into valuable insights and predictive models. Your work will directly impact 13.5 million patients across NHS and private healthcare services in the UK. You will be: Building and leading a team of data scientists … and analysts Developing predictive models to improve patient outcomes and operational efficiency Creating data pipelines and architectures to handle sensitive healthcare information securely Implementing machine learning solutions to personalize healthcare experiences Analyzing large datasets to identify trends and opportunities for service improvement Collaborating with product and engineering teams to integrate data insights into our platform Establishing data governance frameworks More ❯

Scheme Employee Assistance Plan Mental health first aiders ShareBuy MORE Choices flexible benefits Enhanced parental leave schemes Job Purpose We have a great opportunity for a Senior Income Analyst (Predictive Analytics) to join us and support the Income senior leadership, operational management and their teams by providing the relevant analysis and reporting to enable the effective management of the … our In-house systems and from third parties, you will develop in-depth analysis to support customer affordability and vulnerability models. You will have the relevant skills to develop predictive scorecards to enable selection of the most appropriate strategic next best action for customer accounts. You will develop, deploy and carry out retrospective analysis on these scorecards to enable … optimisation of their predictive strength. Accountabilities & Responsibilities Work together with the functional area, develop and deploy reporting in the form of Dashboards, spreadsheets, predictive models and any other appropriate platforms to support the various Income functional areas. Develop and deploy predictive models enabling optimised collections strategies Develop SQL data views ready for production and support the Central More ❯

Scheme Employee Assistance Plan Mental health first aiders ShareBuy MORE Choices flexible benefits Enhanced parental leave schemes Job Purpose We have a great opportunity for a Senior Income Analyst (Predictive Analytics) to join us and support the Income senior leadership, operational management and their teams by providing the relevant analysis and reporting to enable the effective management of the … our In-house systems and from third parties, you will develop in-depth analysis to support customer affordability and vulnerability models. You will have the relevant skills to develop predictive scorecards to enable selection of the most appropriate strategic next best action for customer accounts. You will develop, deploy and carry out retrospective analysis on these scorecards to enable … optimisation of their predictive strength. Accountabilities & Responsibilities Work together with the functional area, develop and deploy reporting in the form of Dashboards, spreadsheets, predictive models and any other appropriate platforms to support the various Income functional areas. Develop and deploy predictive models enabling optimised collections strategies Develop SQL data views ready for production and support the Central More ❯

build, and deploy AI and machine learning solutions that deliver measurable value to both our customers and our employees. Your work will enable smarter, data-driven decisions, unlock advanced predictive and prescriptive capabilities, and drive greater productivity, efficiency, and customer value. This could include developing personalised investment experiences, advanced predictive models, and solutions using a range of model … and deploy solutions and models ranging from small statistical and machine learning models to large language models (LLMs), applying them to diverse use cases such as personalised customer experiences, predictive analytics, process automation, and insight generation-using both proprietary and third-party/foundational models Create solutions that translate complex data into clear, actionable insights, leveraging data science methods … developing, and deploying solutions and models ranging from small statistical and machine learning models to large language models (LLMs), applied to varied business and customer contexts-including personalised experiences, predictive analytics, process automation, and insight generation-using both proprietary and third-party/foundational models Strong Python skills, with expertise in core data science and AI/ML libraries More ❯

the fastest growing fintech companies in the UK, and are profitable, meaning they are undergoing rapid growth. THE ROLE You will be doing the following daily: Develop credit risk predictive ML models across their credit card portfolios. Mainly working across the companies scorecards. Enhancing the existing model suite, while gaining exposure to some pricing models. Work end-to-end … Work with a diverse range of leaders and stakeholders. Research new data sources to advise on costs/benefits of lending decisions. YOUR SKILLS AND EXPERIENCE Must have credit modelling experience, focusing on scorecards or predictive models. Previous experience in the credit/lending industry. Excellent analytical skills, with strong skills in Python, and SQL. Strong knowledge of More ❯

scientists and LLM use cases and Data Engineering with Graph DB experience and Vector DB experience. As a Data Scientist, you will be responsible for analysing large datasets, building predictive models, and extracting meaningful insights to drive informed decision-making. Key Responsibilities: * Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements. * Develop … and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data. * Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data. * Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science projects. * Communicate findings and insights effectively to stakeholders, presenting complex … concepts in a clear and concise manner. * Stay up to date with the latest advancements in time series analysis, statistical modelling, and machine learning techniques. * Collaborate with data engineers to optimize data pipelines and ensure efficient data processing for time series analysis. * Contribute to the development and improvement of data science methodologies, tools, and frameworks. Key Skills & Experience: * The More ❯

days a week from home as work permits. POSITION SUMMARY Infleqtion is recruiting a passionate and detail-driven Data Scientist to join our team, focusing on time series modelling and control systems. You'll be developing predictive algorithms, identifying dynamic patterns and anomalies, and building models that help automate decision-making in real-time systems involving quantum sensors. … on business needs, this role may perform a combination of some or all of the following duties. Design and implement robust time series models for forecasting, anomaly detection, and predictive maintenance. Collaborate with product and engineering teams to integrate predictive models into live quantum sensors. Evaluate performance of deployed models and develop tools/pipelines to continuously refine … Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software engineering best practices: version control (Git), code review workflows, unit testing, CI/CD pipelines. Experience writing clean, efficient, and modular More ❯

Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing, retail and machine learning teams to provide … create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability Be the technical lead in the … development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state More ❯

Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing, retail and machine learning teams to provide … create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability Be the technical lead in the … development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state More ❯

Stay ahead of emerging trends in AI/ML to inform technology adoption. Enable Data-Driven Decision Making Build tooling and frameworks for experimentation, A/B testing, and predictive modelling. Define ethical and governance standards for responsible AI use. Lead & Scale the Team Build and mentor a high-performing data science function embedded in product and business teams. … enterprise data science teams in complex or product-led environments. A track record of delivering GenAI solutions using LLMs, prompt engineering, and RAG architectures. Deep understanding of experimentation, statistical modelling, and advanced analytics. Hands-on experience with MLOps practices, cloud environments (AWS or Azure), and classical ML model deployment. Proficiency in Python, SQL, and modern data science tools/ More ❯

complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or … establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda More ❯

highly scalable data management systems. Ensure systems meet business requirements and industry practices. Design, implement, automate and maintain large scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models and proof of concepts. Technical Skills Required: SQL (5+ years) Python (5+ years) Data Modelling, visualization - Tableau, micro strategy etc and integration tools : Azure data factory , airflow More ❯

Senior Data Scientist - Credit Risk Modelling £60-85,000 (dependent on experience)London THE COMPANY This successful and ambitious lending business are going from strength to strength. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning … predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements YOUR … SKILLS AND EXPERIENCE : Essential to have experience developing predictive models within a Credit Risk setting SQL and Python experience is essential Essential to have experience using Machine Learning techniques to develop non-linear models Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech SALARY AND BENEFITS Base salary from More ❯