7 of 7 Contract Predictive Modelling Jobs in London

Senior Data Analyst/Insight Analyst - Contract - Predictive Modelling Rate: £370-£400/day (Outside IR35) Location: Remote-first (occasional office visits) Start Date: ASAP | Duration: Initial contract, likely extension The Role We're seeking a Senior Data/Insight Analyst with strong predictive modelling and recommendation engine experience to help build an in-house personalised … customers will love, not just what they've bought before. What You'll Do Build & optimise recommendation/personalisation models . Drive incremental targeting beyond repeat-purchase patterns. Apply predictive analytics to customer behaviour & purchase history. Use Python (essential), SQL , and ideally PySpark to deliver insights. Collaborate with Product, Content, and Data Science to align models with business goals. … Translate data into clear, actionable insights. (Bonus) Explore AI-driven ad content opportunities. What We're Looking For Proven experience with predictive modelling/recommender systems . Strong Python & SQL skills (essential). Exposure to PySpark (desirable). Strong communicator with ability to link data to business outcomes. (Bonus) Experience with Generative AI or content automation. More ❯

and GIS techniques. Ability to communicate complex data insights to non-technical stakeholders. Collaborative mindset and ability to work cross-functionally. Nice to Have: Background in machine learning and predictive modeling. Familiarity with geological datasets and workflows. Understanding of software development processes. Why Apply: Join a forward-thinking team building impactful software solutions for the mining and geological sectors. More ❯

a fast-paced, consumer-focused environment. Location: London Duration: 3-6 months Rate: £400 per day (Outside IR35) Start Date: ASAP What You'll Be Doing: Build and deploy predictive models to optimise delivery routes, reduce churn, and enhance customer satisfaction. Work across cloud platforms (Azure, AWS, GCP) to ingest, transform, and analyse large-scale datasets. Collaborate with cross More ❯

an innovative AI Engineer to design, develop, and deploy AI/ML-driven solutions that enhance business processes and decision-making. The role involves working with large datasets, building predictive models, and implementing intelligent automation systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business use cases. Work with NLP, computer vision, and generative More ❯

Cloud: Implement Einstein Case Classification. Configure Einstein Article Recommendations. Support longer-term roadmap towards Agentforce for Service (target: end of year). 2. Integrating & Maintaining Non-SF Systems 6sense - predictive modelling and ABM integration. 6sense Conversational Email setup. Implement and integrate Sales Engagement platform (likely Gong Engage). Planhat (CSP platform) - integration and configuration. HubSpot - ensure smooth bi More ❯

Article Recommendations. Contribute to longer-term Salesforce initiatives such as Agentforce for Service. 2. Systems Integration & API Work Build and maintain integrations between Salesforce and external platforms, including 6sense (predictive modelling & ABM). 6sense Conversational Email. Gong Engage (sales engagement). Planhat (Customer Success). HubSpot (marketing automation with bi-directional Salesforce sync). Ensure data quality, consistency More ❯

Article Recommendations. Contribute to longer-term Salesforce initiatives such as Agentforce for Service. 2. Systems Integration & API Work Build and maintain integrations between Salesforce and external platforms, including 6sense (predictive modelling & ABM). 6sense Conversational Email. Gong Engage (sales engagement). Planhat (Customer Success). HubSpot (marketing automation with bi-directional Salesforce sync). Ensure data quality, consistency More ❯