14 of 14 Predictive Modelling Jobs in the West Midlands

commercial decision-making, you’ll develop innovative data science solutions that help shape customer experiences, optimise performance and drive measurable business value. From predictive modelling and behavioural segmentation through to AI and machine learning solutions, you’ll own the end-to-end delivery of impactful data science initiatives … deliver the Digital data science roadmap, ensuring solutions create demonstrable commercial value across the business. Design, develop and deploy advanced data science solutions including predictive models, customer segmentations and AI/ML decision engines. Partner with Product, CRM and Digital teams to understand business requirements and translate them into ...

advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning techniques to generate actionable insights and support decision making at scale. You'll work closely with business … gathering, solution design, quality assurance, stakeholder updates and presentation of outputs. Your work will include designing, building and improving machine learning solutions such as predictive models, segmentation and forecasting. The team is also exploring and delivering Generative AI/Large Language Model solutions, providing opportunities to work with modern ...

looking for an experienced Pricing Data Scientist to join its Pricing Development team. This is an exciting opportunity for a data science and modelling professional to play a leading role in developing pricing models, influencing business decisions and supporting a significant business-wide transformation programme. The successful candidate will … Pricing Data Scientist will include Lead the development and enhancement of pricing models and analytical approaches to support business objectives. Undertake behavioural modelling, research, development and innovation activities across the full pricing lifecycle. Design, build and continually improve models using advanced statistical techniques and data science methodologies. Support ...

recruiter directly. Data Scientist III Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader ...

Overview We are seeking a highly skilled AI Engineer to design, build, and deploy advanced AI and machine learning solutions. The role involves developing predictive models, implementing deep learning architectures, and integrating AI capabilities into enterprise systems. You’ll work closely with data scientists, engineers, and business leaders ...

behaviour and commercial decision-making to shape experiences and drive value across the business. You’ll own end-to-end data science initiatives, from predictive modelling and segmentation to AI/ML solutions, partnering with Product, CRM and Digital teams to translate needs into data-led solutions ...

bet365 Group seeks a Lead Data Scientist to spearhead advanced probabilistic models powering real-time betting markets. The role involves developing predictive models, collaborating with trading and software teams, and applying state-of-the-art ML techniques in a fast-paced environment. The ideal candidate has a Master ...

Data Architects to implement target‐state data models and modern data engineering principles. Partner with data scientists and analysts to operationalise advanced analytics and predictive models. Manage integrations with insurer portals and external data providers, ensuring high‐quality, timely and secure data flows. Support the organisation's ambition … data platforms. Comfortable working in regulated data environments with sensitive personal and litigation data. Excellent stakeholder management and communication skills. Desirable Experience Exposure to predictive analytics, machine learning operationalisation or AI platforms. Experience working with Dynamics CRM, case management platforms such as VisualFiles, and finance systems such as Elite ...

feature engineering, model development, and deployment. Working with large and complex datasets, you'll use Python, PySpark, SQL, and Azure Databricks to develop robust predictive models and analytical solutions. Just as importantly, you'll be able to explain your findings in a clear and engaging way, helping stakeholders understand … work on highly visible projects that directly shape the experience of millions of customers. Key responsibilities Develop and deploy machine learning and predictive analytics solutions that address key business challenges and deliver measurable commercial outcomes Explore, profile, and analyse large and complex datasets to identify trends, opportunities, and features ...

extract, transform, and load data into Azure Data Lake Storage and other Azure services.* Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.* Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.* Experience … process both structured and unstructured data sets* Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.* Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. ...

your career potential! The Opportunity As part of a team, you will participate in designing, developing, and deploying state-of-the-art, data-driven predictive models to solve business problems using the latest technologies in data mining, statistical modeling, pattern recognition, and performance inference. This is a unique opportunity … projects through client data analysis, model development, model validation, and delivery activities. Design, develop, and evaluate state-of-the-art, data-driven exploratory analyses, predictive models, and decision models to solve business problems across the financial services industry. Analyze large-scale consumer credit and credit bureau datasets to assess ...

contact the recruiter directly. AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader … architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy. Evaluate and recommend AI technologies, modelling approaches, and platform components. Stay up to date with advances in agentic AI and domain-specific AI research. Translate emerging capabilities into practical architectural recommendations. ...

Mathematics, Data Science, Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions … solutions for complex challenges, solving problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with ...

FICO is seeking a quantitative professional to design, develop, and deploy predictive models for international FICO Scores projects. You will work with large credit datasets, apply ML methods, and communicate insights to clients and internal teams. You’ll collaborate across regions, handle multiple work streams, and occasionally travel ...