8 of 8 Predictive Modelling Jobs in Glasgow

deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA or protein). Strong ability to communicate complex technical concepts effectively and collaborate closely with More ❯

deep data insights to COG, regional EMEA Leadership, local claims clusters/countries heads, and SLT. Your work will range from analyzing claims trends and KPIs to developing sophisticated predictive models and management recommendations. While basic data generation is handled offshore, advanced data interpretation and KPI trend analysis are conducted onshore, close to our business leaders. Key Responsibilities: Lead More ❯

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. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations More ❯

and behaviour change. Data Analysis & Strategic Insight : Collect and analyse customer and business data from CRM systems, transactional databases, surveys, and feedback platforms. Use statistical techniques, exploratory analysis, and predictive modelling to uncover trends, forecast behaviour, and identify improvement opportunities across the customer journey. Synthesise data from multiple sources (VoC, market intelligence, internal analytics) to provide a More ❯

we are looking for you to demonstrate include: 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 trusted partner. Ability to deal … building and/or fine-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. PHD level qualification or equivalent Sound like the role you have been looking for? The apply today to find out more! Equality More ❯

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, ensuring they are More ❯

remotely A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end point client operate primarily in … an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment More ❯

driven solutions that help hotels optimize revenue and operations in real time. As part of a dynamic, independent division, this role will play a pivotal part in powering the predictive engine behind smarter pricing decisions. THE ROLE As a Software Engineering Manager, you will lead a small, high-performing team focused on building the infrastructure that powers core AI … in the following: Leading the design and maintenance of scalable infrastructure (Kubernetes, GCP) for ML-powered pricing systems Collaborating closely with Data Science teams to understand, support, and productionize predictive models Contributing hands-on to Python-based codebases, especially within data science contexts Providing light-touch line management to a capable and largely autonomous team Driving technical excellence and More ❯