101 to 125 of 244 Predictive Modelling Jobs in the UK

skills working across all commercial teams in the business. Reporting to the Head of Data Science you will be leading the application of data science across the business including predictive modelling, NLP and content recommendation. We believe that data science can bring us a better understanding of our customers' needs, opportunities to improve their experience and a clearer … The ideal skills for this role are: Extensive experience as a data scientist, with a track record of delivering projects in digital customer-facing environments Deep understanding of statistical modelling, machine learning and natural language processing Expertise in applying Generative AI to enhance traditional natural language processing tasks, prompt engineering, integrating LLMs into machine learning workflows Strong Python skills More ❯

Cloud provider Deep understanding of Natural Language Processing/Generative AI/Image Recognition Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. Experience with MLOps Excellent organisation skills, working independently and ability to deliver results for deadlines. A proactive, innovative, pragmatic approach to problem-solving and an More ❯

with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in at least one of one of : predictive modelling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like More ❯

with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in at least one of one of : predictive modelling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like More ❯

help build data pipelines, explore AI-driven features, and contribute to smarter tools that enhance the user experience. Responsibilities: Supporting the design and implementation of scalable data pipelines Building predictive models and automation tools to streamline insight delivery Exploring the use of LLMs and AI to enhance product functionality Collaborating with cross-functional teams to align data solutions with More ❯

projects will cover a broad range of topics, from working with engineers to implement event tracking on our platforms, all the way to generating data insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be More ❯

RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML More ❯

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 ❯

RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML 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 ❯

Reporting Analyst to support a major utilities client in delivering high-quality, insightful reporting on their Investment Programme. This role is pivotal in ensuring data integrity, performance tracking, and predictive analysis across their portfolio within their project controls department. Key Responsibilities Develop and maintain corporate reports using Microsoft Power BI Integrate and link data streams from multiple corporate systems … against business plans Create both standardised and bespoke reports based on stakeholder needs Ensure data accuracy, validation, and consistency across reporting outputs Manage data extraction and scheduled refreshes Provide predictive analysis and identify trends, risks, and opportunities Communicate insights clearly to both technical and non-technical audiences Requirements Degree in a relevant field with an analytics focus Proficiency in … manipulation skills in a corporate environment High attention to detail and strong analytical thinking Ability to manage multiple priorities and meet tight deadlines Experience in performance data analysis and predictive modelling For more information, please apply with a CV and we will be in touch with asap. More ❯

on-Trent Salary up to £50,000 DOE To find out more call Beth on 0771 998 3823/0121 227 5600 or email Responsibilities: Build and deploy advanced predictive models to solve real-world challenges Collaborate closely with other data scientists and internal stakeholders Continuously improve model performance and adapt to new data or use cases Research and More ❯

This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends More ❯

This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends More ❯

This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends More ❯

solutions. This is still a largely hands-on role, with around 20% team leadership. What Youll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends 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 design 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. Ensuring compliance More ❯

issues. We excel at fair lending and have revolutionized the industry through digital innovations. We believe great products start with a deep understanding of our customers. Our use of predictive modeling to personalize credit card offers has transformed the industry. Our data-driven decision heritage and human-centered approach enable us to design innovative financial experiences. We are building More ❯

Now, were turning that data into intelligent systems that keep Britain moving. As Head of AI Engineering , youll lead a team tackling real-world challenges with direct impact. Think predictive models that anticipate breakdowns before they happen, intelligent routing to optimise thousands of roadside patrols, and agentic AI that transforms customer service. This is your chance to be part 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 ❯

Work with Engineering, Product, Marketing and Operations to embed intelligence into everything we do What You'll Bring: Extensive experience delivering commercial value through data science Deep expertise in predictive modelling, optimisation and personalisation Mastery of Python/R, SQL and modern ML tools (ML Ops, Docker, DBT) A passion for storytelling with data and influencing strategic decisions More ❯

Broadly: Work with Engineering, Product, Marketing and Operations to embed intelligence into everything we do What Youll Bring: Extensive experience delivering commercial value through data science Deep expertise in predictive modelling, optimisation and personalisation Mastery of Python/R, SQL and modern ML tools (ML Ops, Docker, DBT) A passion for storytelling with data and influencing strategic decisions More ❯