11 of 11 Permanent Predictive Modelling Jobs in Leeds

R) for data manipulation and analysis. · Understanding of emerging technologies, including automation, ML and AI to facilitate data analytics. · Experience with advanced analytics techniques (predictive modelling, segmentation). When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our More ❯

R) for data manipulation and analysis. · Understanding of emerging technologies, including automation, ML and AI to facilitate data analytics. · Experience with advanced analytics techniques (predictive modelling, segmentation). When you join the JLA family, you'll also gain access to an extensive benefits package. We care about our More ❯

must. AI Engineer Key Responsibilities: Develop and optimise AI-powered recommendation engines, chatbots, and virtual assistants to enhance customer experience and personalise interactions. Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning models for content recommendation engines and More ❯

range of clients across financial services and utilities. The Role Joining a high-performing Decision Science team, your remit will involve end-to-end predictive modelling and analytics. You’ll play a vital role in shaping strategic decisions across the business. Key Responsibilities: Develop and optimise scorecards and … techniques Candidate Profile You’ll need either: A Master’s or PhD in a STEM subject or 1–2 years’ relevant experience in a modelling role within financial services Essential: Strong coding ability in Python Desirable: SQL proficiency Exposure to credit risk, collections, or pricing Knowledge of machine learning More ❯

in pricing strategies, significantly influencing our product insights and commercial decision-making. You’ll leverage your expertise in advanced analytics, machine learning, and statistical modelling to derive actionable insights from complex datasets. Key Responsibilities: Analyse large online datasets to uncover valuable insights into consumer behaviour, price elasticity, and revenue … optimisation. Collaborate with Product, Technology, Marketing and Sales teams. Contribute insights towards the development and refinement of predictive models used to forecast demand and optimise pricing and content. Create clear and intuitive dashboards and visualisations to communicate insights effectively, facilitating strategic business decisions. Act as a data analytics specialist More ❯

in optimizing workflows, reducing technical debt, and modernizing legacy systems. • Automation and Efficiency: Developed automated solutions, including CI/CD pipelines, testing frameworks, and predictive models to enhance efficiency. • Collaboration and Impact: Demonstrated success in cross-functional teamwork and delivering high-impact, scalable projects across industries. Role Overview As More ❯

inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability … through smarter pricing, stock optimisation, and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models … driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or More ❯

performance APIs and backend services using Go and Node.js 🎨 Create sleek, intuitive UIs with React and TypeScript 🔍 Work with AI & data teams to integrate predictive models and automation tools ☁️ Deploy & optimize applications on cloud platforms ( AWS, GCP ) 🏗 Own system design & architecture to ensure scalability, security, and reliability 🚀 Set best More ❯

to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent opportunity for a data-driven professional eager to make a significant impact in a cutting … Python and SQL for data analysis and model development. Experience with pricing models, actuarial techniques, or risk modeling. Deep understanding of machine learning algorithms, predictive modeling, and statistical analysis. Hands-on experience in automating and deploying machine learning models. Proven ability to translate complex data into actionable pricing insights. More ❯

SCIENCE ANALYST £32,000 - £40,000 LEEDS A well-established financial services organisation is hiring a Decision Science Analyst to support the development of predictive models across strategy, pricing, litigation, and forecasting. This is a hands-on analytics role, ideal for someone looking to apply statistical and machine learning … that shape key business decisions. THE ROLE As a Decision Science Analyst, your day-to-day responsibilities include but are not limited to: Building predictive models using machine learning methods to improve forecasting and performance across key areas Presenting findings and translating complex analysis into actionable insights for senior … outcomes Supporting strategy development through the delivery of robust, scalable analytical tools Collaborating with analysts to share best practices and enhance the team’s modelling capabilities SKILLS AND EXPERIENCE Experience developing credit risk models using logistic regression or similar Knowledge of machine learning approaches such as random forest and More ❯

a quantitative discipline. Strong programming skills in R and Python. A well-rounded data science skill set including the ability to build/maintain predictive models and explain model processes/outputs. Ability to communicate effectively with a wide range of stakeholders and build strong business relationships as a … tuning transformer-based AI models. Experience of managing the demands and various stakeholders within a highly matrixed business environment. Ability to build/maintain predictive models and explain model processes/outputs. Desirable PHD level qualification or equivalent Sound like the role you have been looking for? The apply More ❯