6 of 6 Contract Predictive Modelling Jobs in London

OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You'll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive … sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge … CONSIDERED Please apply directly by emailing with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

simplify and operationalise models to drive business decisions, enabling the company to better understand what drives positive customer experiences and identify opportunities for improvement. Key Responsibilities Build and enhance predictive models to assess customer satisfaction, loyalty, and post-complaint behaviour . Identify key drivers behind positive customer experiences and develop models to optimise service outcomes. Support the expansion and … Data Scientist within a customer, marketing, or consumer analytics environment. Strong proficiency in Python for data manipulation, analysis, and model development. Experience working with Vertex AI Solid understanding of predictive modelling , causal inference , optimisation , or uplift modelling . Demonstrated ability to simplify technical work for senior business audiences. Collaborative mindset with the ability to take on feedback More ❯

pharmaceuticals.* Collaborate with data scientists, data engineers, and business analysts to build scalable AI models for research, development, and commercial operations.* Develop, test, and optimise machine learning algorithms and predictive models relevant to pharmaceutical data.* Integrate AI models with existing data pipelines, laboratory systems, and business applications.* Ensure the reliability, scalability, and performance of AI systems across multiple platforms. More ❯

Contract Opportunity: Lead Data Scientist (Image-Based Predictive Modelling) Location: London/Hybrid/Remote Day Rate: Up to £600/day (Inside or Outside IR35) Contract Length: Initial 5 weeks (very strong extension potential) Start Date: Within 1-2 weeks Industry: Financial Services (Marketing Analytics Project) Interview Slots Available This Week - Fast Turnaround About the Company Join … Your goal: build and deploy a model that forecasts click-through rates and explains why certain images drive better performance. What You'll Be Doing Build and refine a predictive model using image data & historical engagement metrics? Identify which image characteristics (colour, objects, themes) influence customer behaviour? Implement explainability (e.g. SHAP, feature importance)? Build a simple internal UI (Dash … guide technical decision-making internally? Enable deployment teams to operationalise your solution What Success Looks Like By the end of the initial engagement you will have delivered:- A working predictive model- Clear explainability on what drives user clicks- A functional internal tool for non-technical stakeholders- Documentation and guidance for productionisation Required Skills Must-Have: Expert-level Python (Pandas More ❯

REMOTE Role PurposeAs a D365 CE Lead, you will be responsible for designing and delivering intelligent, data-driven customer engagement strategies across multiple channels. You will leverage behavioural insights, predictive modelling, and segmentation to drive relevance, increase customer retention, and grow customer lifetime value.Key Responsibilities Next Best Section (NBS) Decisioning- Develop and maintain a model that recommends the More ❯

Role Purpose As a D365 CE Lead, you will be responsible for designing and delivering intelligent, data-driven customer engagement strategies across multiple channels. You will leverage behavioural insights, predictive modelling, and segmentation to drive relevance, increase customer retention, and grow customer lifetime value. Key Responsibilities Next Best Section (NBS) Decisioning - Develop and maintain a model that recommends More ❯