51 to 75 of 134 Predictive Modelling Jobs in London

Maintain documentation of data analysis processes. Methodology and results to ensure replicability and transparency with the wider D&A Team. Utilize advanced machine learning and AI techniques to develop predictive models for improving business processes, caregiver experience, and operational efficiency. Apply Statistical analysis methods to interpret data trends, patterns, correlations and communicate insights and recommendations to operational teams. What More ❯

training, deployment, and monitoring. Deep understanding of MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, and reproducibility. Experience with tools used for statistical analysis, predictive modeling, and AI/ML development. Familiarity with data governance, security best practices, and compliance regulations. A track record of driving strategic initiatives and engineering standardization efforts across multiple More ❯

team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯

team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯

engineers and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients with real-time visibility, predictive analytics, and actionable insights. What You Will Do Develop and implement machine learning models to improve the accuracy of supply chain ETA s. Analyze large, complex datasets to extract … supply chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks, or ensemble methods can predict ETAs more accurately by considering … various factors like traffic conditions, weather, route efficiency, and historical performance. 2. Real-Time Data Integration: Incorporate real-time data into predictive models. This includes traffic updates, weather conditions, vehicle speed, and location data. Real-time data allows for dynamic adjustments to ETA predictions as conditions change. 3. Historical Data Analysis: Analyze historical data to understand common delays and More ❯

and documentation for internal stakeholders and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience of insurance/reinsurance pricing techniques (Hx) Experience in developing models in Python Experience in customer facing roles More ❯

and documentation for internal stakeholders and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience of insurance/reinsurance pricing techniques (Hx) Experience in developing models in Python Experience in customer facing roles More ❯

systematic equity strategies Combine rigorous scientific methods and machine learning or statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process Develop and improve sophisticated python-based software tools and libraries for machine learning researches Write and maintain neat, modular code More ❯

narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with More ❯

dashboards and reporting tools that measure support effectiveness Implement A/B testing frameworks for support automation initiatives Use data to identify patterns and opportunities for proactive support Create predictive models that anticipate customer needs and potential issues Key Metrics You'll Own Technical Efficiency Gains: Quantifiable time savings from automations and integrations System Reliability: 99.9% uptime for all More ❯

expect to be involved in the following: Designing and developing full-stack data pipelines and platforms using modern tools such as dbt, Airflow, and cloud infrastructure Cleansing, enriching and modelling data to generate commercial insights and power C-level dashboards Delivering scalable solutions that support internal use cases and extend directly to portfolio companies Working on project-based data … initiatives, including AI/ML integrations for predictive modelling and cloud-based productisation Collaborating with commercial teams (RevOps, Finance, Sales) to turn messy data into meaningful business value Building internal data products and helping define the next generation of services across the wider platform SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience More ❯

established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside a team of Quants, Developers, and Analysts. Due to the nature of the business this is … mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases More ❯

established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside a team of Quants, Developers, and Analysts. Due to the nature of the business this is … mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases More ❯

high-growth tech scaleup, making an impact on core business decisions and customer experiences from day one , You'll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond , Get to grips with our data platform and begin contributing to models More ❯

managing and scaling digital product portfolios in complex, data-driven organisations within private markets or similar industries. Hands-on experience with AI/ML applications for financial analysis and predictive modeling. Deep understanding of private market workflows and ability to align digital strategies with broader business objectives. Exceptional ability to influence and build consensus among diverse stakeholders, with strong More ❯

track record of managing and scaling digital product portfolios in complex, data-driven organisations within private markets or similar industries. Hands-on experience with applications for financial analysis and predictive modeling. Deep understanding of private market workflows and ability to align digital strategies with broader business objectives. Exceptional ability to influence and build consensus among diverse stakeholders, with strong More ❯

training on hundreds of Gigabytes/tens of millions rows of data per day, Vaix is building a wide range of Machine Learning solutions, from Recommendation engines, human behavior predictive models, to Natural Language Processing. We process hundreds of API requests per second from operators and respond back with latency in milliseconds. Vaix is seeking an experienced and passionate More ❯

high-growth tech scaleup, making an impact on core business decisions and customer experiences from day one. You'll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond. Here's what you'll get up to: Get to grips with More ❯

training on hundreds of Gigabytes/tens of millions rows of data per day, Vaix is building a wide range of Machine Learning solutions, from Recommendation engines, human behavior predictive models, to Natural Language Processing. We process hundreds of API requests per second from operators and respond back with latency in milliseconds. Vaix is now looking to recruit an More ❯

health outcomes and tackle health inequalities. You'll lead high-impact projects using Python, advanced analytics, and real-time NHS data on a cutting-edge cloud platform. From building predictive models to designing data visualisations, your insights will directly shape care models, inform service redesign, and drive preventative, equitable healthcare. You'll work collaboratively with clinicians, system leaders, and … lead complex analytics and drive system-wide transformation across Guy's and St Thomas' NHS Foundation Trust. You will evaluate and redesign care pathways, applying advanced analytics (e.g., regression modelling, risk stratification) to tackle health inequalities and improve outcomes. Using tools like Python, R, SQL, and Power BI, you will extract and analyse data from multiple care settings to … influencing decisions at senior level through high-impact analysis and visualisation. Expert proficiency in SQL, R, Python, Excel, Power BI or Tableau. Skilled in segmentation, stratification, equity analysis, and predictive analytics. Excellent project and stakeholder management, with ability to lead multiple complex streams simultaneously Experience in data science and machine learning projects in the healthcare sector. Desirable Previous experience More ❯

hypotheses : Design, develop, and implement a range of experiments which will test and validate hypotheses across channels, segments and audiences which will derive actionable insights and decision making. Develop predictive models: develop, test and implement predictive models to inform business decisions, such as customer segmentation, retention models and customer lifetime value. Communicate results and engage with stakeholders : Effectively … datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proficiency in statistical modelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. More ❯

You will need to have very strong Python skills alongside additional knowledge of another main language and experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling If you would like to work with an industry leader, and would like to find out more, apply now More ❯

You will need to have very strong Python skills alongside additional knowledge of another main language and experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling If you would like to work with an industry leader, and would like to find out more, apply now More ❯

acquisition strategies. Responsibilities Develop and maintain acquisition and engagement (e.g. influencer/affiliate, organic, VIP, paid acquisition etc.) dashboards to monitor user growth and campaign effectiveness. Assist in building predictive models to guide strategic decisions on acquisition and engagement, encompassing time series, predictive analytics, and recommender systems. Analyze data to derive actionable insights that drive business decisions and More ❯

and non-technical stakeholders YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL (specifically within Windows Functions), Snowflake, Data Visualisation and Python/R Strong background in advanced analytics, predictive modelling and exploratory analysis Proven expertise in DBT and reporting Strong stakeholder management skills THE BENEFITS Up to £85,000 + bonuses + equity Hybrid London HOW TO More ❯