7 of 7 Permanent Predictive Modelling Jobs in Leicester

Strong background in data analysis, statistics, or data science. Proficiency in tools such as SQL, Python, R, and Power BI or Tableau. Experience with predictive modelling and machine learning techniques. Excellent communication skills and the ability to translate technical insights into practical actions. Knowledge of housing systems and 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 ❯

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 ❯

own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes … of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C More ❯