10 of 10 Predictive Modelling Jobs in the North West

optimise SQL queries, data models, and reporting solutions. Identify and resolve data quality issues in collaboration with relevant teams. Support forecasting, trend analysis, and predictive modelling initiatives. Ensure compliance with data governance, security, and privacy standards. Document analytical methodologies, data definitions, and reporting processes. Present findings and recommendations … able to work independently in a fast-paced environment. Technical Skills SQL Python Power BI Tableau Microsoft Excel Data visualisation and reporting Data modelling KPI reporting and performance analysis Data quality management Exploratory Data Analysis (EDA) Desirable Skills Experience supporting enterprise data platform initiatives. Exposure to forecasting and predictive ...

across the function. What you’ll be doing As Lead Data Scientist, you’ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns ...

Innovation Department. This is a fixed-term, grant-funded position (supported by Charities Together) where you will be responsible for leading advanced risk modelling and machine learning projects aimed at enhancing services, efficiency, and outcomes for our patients and their families.Working primarily in Databricks using SQL and Python … from requirements through to delivery, agreeing outputs, milestones and timescales with stakeholders. Your core work will involve designing, developing, validating and maintaining analytical and predictive models that address operational and clinical needs across the Trust. Using Databricks as the primary development environment, you will build reproducible, auditable analytical workflows ...

opportunities Develop dashboards and reporting frameworks that track retention, conversion, and customer lifetime value Support campaign targeting and personalisation through segmentation, cohort analysis, and predictive modelling Evaluate campaign effectiveness through pre- and post-analysis, measuring uplift, ROI, and channel performance Lead on customer satisfaction and advocacy analysis, using ...

exposure risk, and proposition-level risk. We are seeking an experienced Credit Risk Modeller with strong hands-on expertise in scorecard development, bureau data modelling, and regulatory-aligned model design. This is a key delivery role responsible for developing high-quality models that meet governance standards and are ready … level risk models Extract, cleanse, manipulate and prepare large datasets using Python and SQL to support model development, validation and deployment. Build and optimise predictive models using TransUnion and Equifax bureau data, ensuring appropriate variable selection, mapping and regulatory compliance. Perform model validation activities including: Back-testing Population stability ...

usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical ...

working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head ...

reconciliation of workforce, payroll, finance, and organisational data to provide a single, trusted source of truth across the business. Develop advanced workforce analytics, predictive models, and scenario planning to support organisational growth, restructuring, succession planning, talent acquisition, retention, diversity, and future workforce strategy. Identify emerging workforce trends, risks … with the ability to manage multiple strategic priorities in a fast-paced environment. Desirable Experience implementing or optimising HRIS and analytics platforms. Knowledge of predictive analytics, machine learning, or AI applications within People Analytics. Experience working with cloud-based data platforms and enterprise data warehouses. Professional qualifications ...

Mathematics, Data Science, Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit‐learn, TensorFlow, or PyTorch. Proven ability to design and implement complex machine learning solutions … solutions for complex challenges, solving problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with ...

Mathematics, Data Science, Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions … solutions for complex challenges, solving problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with ...