26 to 28 of 28 Predictive Modelling Jobs in the City of London

technical teams in configuring extraction tools, refining scripts, and ensuring clean data outputs. Data insights – Uncovering key trends in client data and presenting meaningful insights to inform their strategies. Predictive models – Customising existing models to meet client needs and assessing feasibility for new analytics solutions. Cohort analysis – Defining target groups, testing interventions, and iterating approaches based on client feedback. … sector clients, they enable them to proactively address complex societal challenges like financial vulnerability and housing instability. Their approach integrates disparate datasets, applies cutting-edge machine learning, and utilises predictive analytics to pinpoint those most in need. Our platform transforms this information into actionable insights, equipping professionals with the tools to intervene early and drive meaningful change. In the More ❯

opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models … improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong More ❯

We are seeking a skilled Machine Learning Developer with expertise in Spark ML, predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machine learning solutions for large-scale data processing and predictive analytics. London Long Term Contract Rate - 550-600 pd Hybrid - Max Three Days … in the office Responsibilities: Develop and implement machine learning models using Spark ML for predictive analytics. Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop). Process and analyze large-scale datasets to extract meaningful insights and features. Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines. Evaluate model performance and … performance. Stay updated with advancements in machine learning frameworks and distributed computing technologies. Required Skills: Proficiency in Apache Spark and Spark MLlib for machine learning tasks. Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with distributed systems like Hadoop for data storage and processing. Proficiency in Python, Scala, or Java for ML development. Familiarity with More ❯