76 to 100 of 208 Predictive Modelling Jobs in England

giving Markerstudy a critical advantage in the increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of Markerstudy’s direct brands Support delivery of pricing & underwriting business plan across Motor & Home portfolios … Experience: Experience managing general insurance products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of More ❯

giving Markerstudy a critical advantage in the increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of Markerstudy's direct brands Support delivery of pricing & underwriting business plan across Motor & Home portfolios … Experience: Experience managing general insurance products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of More ❯

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 ❯

inconsistencies, handling missing values, and transforming data into a usable format Create charts, graphs, and other visual representations of data to effectively communicate findings and insights to stakeholders. Develop predictive models to forecast future trends or behaviours based on historical data. Interpret the results of analysis, draw conclusions, and provide actionable recommendations based on their findings Understand business needs 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to identify opportunities and translate complex datasets … into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation and continuous improvement in data practices, working More ❯

and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to identify opportunities and translate complex datasets … into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation and continuous improvement in data practices, working 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 ❯

of new initiatives, product launches, or market expansions Conduct competitive and market analysis to inform pricing, packaging, and GTM strategies Identify growth levers through data analysis, customer insights, and predictive modelling Who You Are: 3+ years of experience in a Commercial Analyst, Business Analyst, or FP&A role-preferably in a SaaS environment Strong understanding of SaaS metrics More ❯

of new initiatives, product launches, or market expansions. Conduct competitive and market analysis to inform pricing, packaging, and GTM strategies. Identify growth levers through data analysis, customer insights, and predictive modelling. Who You Are: 3+ years of experience in a Commercial Analyst, Business Analyst, or FP&A role-preferably in a SaaS environment. Strong understanding of SaaS metrics and More ❯