17 of 17 Predictive Modelling Jobs in Manchester

to communicate findings effectively to stakeholders. Work closely with marketing, product, and customer success teams to provide data-driven recommendations. Utilize statistical techniques and predictive modelling to improve customer engagement and lifetime value. Extract, clean, and analyse large datasets from multiple sources (CRM, subscription platforms, Google Analytics, etc. … Experience with data visualisation tools such as Tableau, Power BI, or Looker. Strong knowledge of Excel and Google Sheets. Familiarity with statistical analysis and predictive modelling techniques. Understanding of customer lifecycle metrics and churn analysis. Excellent problem-solving skills and attention to detail. Strong communication skills with the More ❯

to work alongside senior actuaries and data scientists in a collaborative environment focused on innovation and continuous learning. Key Responsibilities Develop, maintain, and optimize predictive models for pricing, reserving, and risk management. Perform complex data analysis to support actuarial reporting and decision-making. Work closely with the actuarial team More ❯

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯

data science. As a Senior Data Scientist, you'll be expected to take ownership of end-to-end projects, working with large datasets, building predictive models, and applying advanced analytical techniques to solve complex business problems. The role requires someone who is comfortable with ambiguity and can deliver solutions More ❯

application in marketing personalization, chatbots and content generation. Proven experience in marketing-focused data science projects, such as customer segmentation, campaign performance analytics and predictive modeling for marketing strategies. Familiarity with AI/ML tools and platforms commonly used in marketing data science, such as Tableau, Power BI, Google More ❯

Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and … or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical More ❯

commercial, product, and engineering, to build automated ML/AI solutions that will provide tangible benefits for Travel Counsellors. Principal Accountabilities Build and deploy predictive models for optimising pricing, personalised recommendations, and operational efficiencies. Collaborate with data and software engineers to operationalise ML models within our wider technology platform More ❯

ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor More ❯

forecasting experience is required by a leading company in Manchester. As the Data Scientist, you will be responsible for defining & shaping of all financial modelling and forecasting to enhance decision making, deliver more targeted acquisition, and deliver profitable growth. Tools wise they are using SQL, Python & R, so you … this is an area that they want to move into, so something that will huge for them in the coming years Experience required Proven predictive modelling, forecasting and analytical experience with strong SQL, Python & R skills Some awareness of Machine Learning and the advantages of using machine learning … give a better ROI and help define the overall strategy Data Scientist Responsibilities Responsible for the definition, shaping and ongoing maintenance of all financial modelling and forecasting to enhance decision making, deliver more targeted acquisition and ultimately deliver profitable growth. Undertake specialised analysis to model historical data and provide More ❯

the continuous improvement of process. As a Senior Pricing Analyst, you will use your advanced analytical skills to: Conducting retail price optimisation analysis/modelling developing customer propensity and Life Time Value (LTV) models to produce the different models and SAS or SQL for data analysis Create innovative data … strategic changes to prices to meet budget requirements. Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science More ❯

and Snowflake Experience with budgeting, forecasting, and variance analysis in a corporate or technical setting Knowledge of statistical methods and machine learning techniques for predictive modelling Proficiency in creating and maintaining version-controlled documentation for methodologies and processes Familiarity with governance standards and process optimisation Excellent communication and More ❯

of SQL, data warehousing concepts, and database management. ETL Processes: Experience with Extract, Transform, Load (ETL) processes (e.g. SSIS, AWS Glue, DBT). Data Modelling: Ability to create and manage data models. Data Analysis: Advanced data analysis and modelling skills, including statistical analysis and predictive modelling. Modern More ❯

efficiency. Designing and building ELT/ETL pipelines, optimising a cloud-based data platform (AWS). Creating data models and infrastructure to support segmentation, predictive modelling, and reporting. Enhancing stakeholder access to insights via Looker and other BI tools. Driving performance optimisation across the entire data estate. For More ❯

Science expertise will be integral to optimizing pricing and marketing strategies. You'll be joining a team to be involved in the development of predictive models, analysing datasets, A/B testing, and collaborating with cross-functional teams. The ideal candidate will be a detail-orientated and proactive individual … to gather data requirements and share your insights across the company. Create dashboards, reports and visualizations to present to stakeholders. Build, deploy and maintain predictive models using machine learning and optimization techniques Analyse large datasets to implement data-driven strategies Design and conduct A/B Testing to refine More ❯

for a Data Scientist to join the team The Role: As a Data Scientist specialising in behavioural biometrics, you will lead the exploration and modelling of human behaviour using advanced analytics and machine learning. Analyse behavioural datasets to uncover insights and patterns. Design and train predictive models based … implement scalable data pipelines and experimentation frameworks. Translate business and product questions into data-driven solutions. Stay on top of emerging trends in behavioural modelling, reinforcement learning, and cognitive AI. What we are looking for: 2+ years of experience in data science or machine learning roles. Strong knowledge of … Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers). Comfortable working with SQL and data visualisation tools. Startup mindset: entrepreneurial, independent, adaptable, and collaborative. More ❯