7 of 7 Statistical Modelling Jobs in Glasgow

and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of AI solutions for the analysis of More ❯

to deliver value-adding projects. Foster team growth and prepare members for career advancement. Analyse company performance metrics to guide and interpret models. Shape the R&D strategy and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for AI evaluation. Assess machine learning … solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data scientists and champion standard processes within the analytics … years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record to take research More ❯

performance and accuracy. Apply deep learning architectures such as LSTMs and Transformers to relevant projects. Stay updated with the latest advancements in generative AI and implement innovative solutions. Conduct statistical analysis to support model development and validation. Required Qualifications, Capabilities, And Skills Formal training or certification on Data engineering concepts and applied experience cProven experience in building and deploying More ❯

and deploy data models and analytical solutions that support transformation and digital service delivery. Collaborate with cross-functional teams to uncover patterns, surface insights, and shape future services. Apply statistical techniques, machine learning models, and exploratory data analysis to diverse, often complex datasets. Communicate findings through visual storytelling, dashboards, and reports tailored for technical and non-technical stakeholders. Contribute More ❯

cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. More ❯

degree in Healthcare Management, Public Health or Business Administration is at advantage At least 5 years of working experience in planning and data analytics environment Experience and knowledge of statistical modeling techniques. Proficient in 1 or more of statistical software such as Tableau, R, OBIEE, Python, SQL, H2O Flow, Flexsim, Microsoft excel (advanced) etc. Good in strategic planning. More ❯

rich, actionable insights. Learn and own the end-to-end research process, from survey design to cleaning & structuring raw data, to final report delivery. Analyse large data sets, applying statistical techniques and predictive modelling to uncover patterns in consumer behaviour. Transform complex data into compelling stories that drive clear business recommendations. Build & deliver client-ready reports and presentations More ❯