8 of 8 Predictive Modelling Jobs in the Midlands

growing financial services organisation looking for a Lead Data Scientist to drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you'll develop predictive models, deploy autonomous decisioning frameworks, and deliver actionable insights across fraud, marketing, credit risk, and customer management. You'll work closely with cross-functional teams and have the opportunity … to shape the future of data science within a dynamic, forward-thinking environment. Key Responsibilities: Own the development and deployment of predictive models to improve customer outcomes. Lead autonomous decisioning initiatives, including model implementation and policy setting. Design and execute test-and-learn strategies to inform business decisions. Deliver insights through structured analysis and clear communication. Identify opportunities for … 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. Excellent stakeholder More ❯

successfully complete this, and you’ll move on to a degree apprenticeship, deepening your skills while growing your career Role SQL and advanced data joins (yes, the fun kind) Predictive modelling & forecasting (basically, time travel with stats) Data visualisation & storytelling (making numbers talk) Analytics lifecycles & data democratisation Statistical programming languages Building data products people actually use Training You … ll master: SQL, Python and other stats superpowers Visualisation that makes people go “oh, now I get it” Forecasting and modelling AI literacy and applied analytics Turning complexity into clarity Apprenticeship Standard Data analyst (level 4) Training Provider BPP PROFESSIONAL EDUCATION LIMITED Working Week Monday - Friday, shifts to be confirmed. Expected Duration 5 Years Positions Available 3 Closing Date More ❯

and refining statistical models in SAS — including propensity , sentiment , behavioural , density , and survival models . Key Requirements: Strong, hands-on SAS programming experience – essential Proven experience in statistical or predictive modelling (any industry background) Ability to design, build, and validate models such as propensity , sentiment , or survival models Experience in model oversight, validation, or governance Strong STEM related … education Analytical mindset with a drive to challenge and improve modelling frameworks Comfortable working both independently and collaboratively in a changing environment This is a great opportunity to join a business investing heavily in analytics, where you’ll have real influence over how statistical modelling evolves and develops. If you’re a SAS Modeller with a passion for … statistical modelling and real-world problem solving — from propensity to sentiment and everything in between — this could be the perfect next step. Please apply for full job & interview details. West Midlands HQ – 2 days per week on-site Permanent | £45,000 – £50,000 + benefits Please note: All applicants must have the legal right to work in the UK More ❯

understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems with CI/CD ️ Define More ❯

driving a step change in efficiency and results. Now it’s your turn. You’ll work with senior stakeholders, dig into business pain points, pitch smart solutions, and deliver predictive models that directly influence decisions across the company. What We’re Looking For Proven impact - you’ve taken models into production and seen them deliver real results. Autonomous leadership More ❯

Develop and implement data science strategies to support organisational objectives. Collaborate with cross-functional teams to identify and solve complex data challenges. Oversee the design, development, and deployment of predictive models and algorithms. Ensure compliance with data governance and ethical guidelines in all analytics activities. Provide mentorship and professional development opportunities for team members. Communicate findings and actionable insights … Profile A successful Head of Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine More ❯

of a close-knit group driving real change. As their Data Scientist, you'll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine … adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

of a close-knit group driving real change. As their Data Scientist, you'll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine … adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯