1 to 25 of 75 Predictive Modelling Jobs in England

until Summer 2027. About Jaywing Founded in 1999, and now part of Stubben Edge Group, Jaywing’s heritage is in data science, predictive modelling and analytics that support both our risk and marketing clients. We collate, manage and analyse huge volumes of data to help businesses better understand … make the most of their marketing budgets. A large part of our work is in the support of bad debt (IFRS9) and capital (IRB) modelling and management. Our Consulting team have many clients ranging from retail finance houses such as Frasers, to big banks like TSB, start-up lenders ...

opportunity to take on a visible leadership role where you will combine technical data science expertise, stakeholder engagement, and team leadership to deliver predictive models and analytical insight that create real business impact. Working closely with senior stakeholders, particularly across claims and wider business functions, you will identify opportunities … team build innovative, best-in-class models and tools that provide a genuine competitive advantage. The Opportunity Lead the development of advanced analytics and predictive modelling solutions that address real business challenges Partner with senior stakeholders to understand priorities, shape analytical approaches, and translate insight into action Oversee ...

leadership, stakeholder engagement and hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate … passion for delivering business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data ...

This is a Data Science Manager role within a global insurance business, sitting in a growing Strategic Analytics team focused on using predictive modelling and advanced analytics to drive better business decisions. The role is focused on identifying opportunities where data can improve performance, working closely with senior … stakeholders to understand business challenges and developing analytics-led solutions that deliver real value. You'll oversee the development of predictive models and machine learning solutions, whilst providing leadership and support to a team of Data Scientists and acting as a key link between the business and analytics functions. ...

including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix management operation, responsible for operating a strong model risk management framework that ensures models are a trusted asset … implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities You will operationalise the model risk management framework in Asset Risk, ensuring model health, reporting, processing ...

transform financial markets? Do you thrive on building end‐to‐end solutions, from robust data pipelines and sophisticated feature engineering to deploying advanced predictive models and personalized recommendation systems? If you have hands‐on experience, and a desire to make a significant impact in a dynamic, fast‐paced environment … Markets Division, you will be at the forefront of innovation on the trading floor. You will design and implement advanced machine learning models, including predictive AI, to uncover complex market trends and generate actionable insights. Leveraging cutting‐edge techniques, you will develop sophisticated analytical tools that will, at scale ...

supports the development and implementation of data-driven solutions to solve business challenges and enable informed decision-making. The role involves exploratory data analysis, predictive modelling, and collaboration with cross-functional teams to deliver actionable insights. This position focuses on applying statistical techniques and machine learning methodologies … data ecosyste msExperience in data visualisation tools (Power BI/Tablea u) Skills & Competenc ies Technical Sk illsStrong understanding of data modelling, machine learning frameworks, and statistical anal ysisProficiency in Python libraries (Pandas, NumPy, Scikit-le arn)Good exposure to Azure and Databr icksExperience working with structured and unstructured ...

Markets Division, you will be at the forefront of innovation on the trading floor. You will design and implement advanced machine learning models, including predictive AI, to uncover complex market trends and generate actionable insights. Leveraging cutting‐edge techniques, you will develop sophisticated analytical tools that, at scale, connect … expertise to better analyze their portfolios and manage risk. Your expertise will drive data‐driven product development and business strategy through advanced analytics, predictive modelling, and the application of recommendation systems. Our data scientists and machine learning engineers are applying advanced quantitative and AI/ML techniques ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency … enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative ...

designing enterprise-level data solutions that support transformation and growth. Key Responsibilities Analyse and model structured and unstructured data using logical and physical modelling techniques Design scalable data architectures, including data flows and ETL processes Support modern, cloud-based data platforms and solutions Ensure data quality, governance, lineage … GDPR) Translate business requirements into data-driven solutions Collaborate with cross-functional stakeholders to deliver impactful outcomes Contribute to advanced analytics initiatives such as predictive modelling and fraud detection Skills & Experience Essential: Strong experience in data analysis, profiling, and data mapping Proficiency in SQL and/or Python ...

Lead Data Scientist – Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. … Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency ...

capabilities. As part of this growth, we are looking to appoint a Senior Data Scientist to play a key role in developing predictive models, delivering commercial insights, and helping shape the future direction of the data science function. We are looking to hire a Senior Data Scientist to work … experience within a commercial environment Strong Python and SQL skills Experience developing and deploying machine learning models into production environments Excellent understanding of statistical modelling, experimentation, and model evaluation Strong feature engineering and exploratory data analysis capabilities Experience communicating technical findings and insights to non-technical stakeholders A degree ...

variety of industries and high-impact use cases. The Company They are a leading data and analytics consultancy that combines proprietary datasets with advanced modelling and analytics expertise. They deliver both bespoke consulting solutions and scalable data products to a broad client base. Their work primarily supports organisations … utilities, telecommunications, financial services, and the not-for-profit sector, with a focus on predictive modelling and customer insight. They offer a collaborative and project-driven environment with strong technical capability. The Role Build and deploy predictive models, particularly focused on propensity and customer behaviour modelling ...

Data Scientist | London | Up to £65,000 Data Scientist - Predictive Modelling & Analytics Consultancy London (2 days per week onsite) Up to £65,000 + Benefits I'm currently partnering with a leading UK data and analytics consultancy that combines proprietary data assets with advanced analytics and modelling … most recognised organisations across utilities, telecoms, financial services and charities. This is a fantastic opportunity for a Data Scientist who enjoys building predictive models, solving real-world business problems, and working directly with clients. The Role You'll work on a variety of projects focused on customer insight, marketing ...

team. You'll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you'll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer. You'll work with … both the product and the future success of the business. Skills & Experience Strong commercial experience building machine learning models in Python Excellent understanding of predictive modelling, classification or propensity modelling Experience with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience ...

Expertise in Power BI and data visualisation Experience building and deploying statistical models Knowledge of machine learning techniques such as classification, regression, clustering and predictive modelling Strong stakeholder management and communication skills Ability to translate business requirements into analytical solutions Desirable Experience with Generative AI applications Exposure ...

clear, agreed, and followed up in a timely manner. Technical Aspects Provide hands-on expertise in data science and machine learning including statistical and predictive modelling, LLMs, causal inference, and custom workflows selecting best-in-class, fit-for-purpose methods for each problem Be responsible for devising ...

science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python ...

Champion automation and self-service tools to reduce manual reporting and increase value-add analytical work Support the evolution of advanced analytics capability, including predictive modelling Take a product-led approach to BI and data, influencing the development of data warehouse and reporting architecture Partner closely with Data ...

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 ...

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 ...

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 ...