276 to 300 of 905 Predictive Modelling Jobs in England

to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability Develop data assets … keeping abreast of upcoming change, or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the wider industry Maintain departmental risk … Values and guidelines and other relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering More ❯

to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability Develop data assets … keeping abreast of upcoming change, or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the wider industry Maintain departmental risk … Values and guidelines and other relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering More ❯

have an amazing opportunity for a Senior Data Scientist to join our amazing team here at Virgin Media O2. You'll play a major part in designing and implementing predictive models along with conducting detailed data exploration to improve business value & growth through the application of data science techniques. These predictive models created will feed critical business infrastructure … machine learning skills with direct impact on business objectives. You will work as part of a high-performing data science and insight team with ownership of models and the modelling process in the wider modelling eco-system. To be successful in this role, you'll be experienced in running and leading a team, but also hands-on and … passionate about building the latest machine learning predictive models. You will also want to drive the end of goal of each project to ensure the application of each model is efficient for current business objectives. You'll also have strong skills in data manipulation which will enable you to navigate and leverage our significant data assets to build the More ❯

have an amazing opportunity for a Senior Data Scientist to join our amazing team here at Virgin Media O2. You'll play a major part in designing and implementing predictive models along with conducting detailed data exploration to improve business value & growth through the application of data science techniques. These predictive models created will feed critical business infrastructure … machine learning skills with direct impact on business objectives. You will work as part of a high-performing data science and insight team with ownership of models and the modelling process in the wider modelling eco-system. To be successful in this role, you'll be experienced in running and leading a team, but also hands-on and … passionate about building the latest machine learning predictive models. You will also want to drive the end of goal of each project to ensure the application of each model is efficient for current business objectives. You'll also have strong skills in data manipulation which will enable you to navigate and leverage our significant data assets to build the More ❯

across the department. Reporting to the Head of Pricing, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers and Atlanta. Bringing best in class … influencing the direction & outcome of projects Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions Provide thought leadership on optimisation and modelling concepts Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability … they fit into the wider piece, and identify where they can be improved Key Skills and Experience: Previous experience within general insurance 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 Experience in statistical and data science programming languages (e.g. R, Python More ❯

across the department. Reporting to the Head of Pricing, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers and Atlanta. Bringing best in class … influencing the direction & outcome of projects Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions Provide thought leadership on optimisation and modelling concepts Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability … they fit into the wider piece, and identify where they can be improved Key Skills and Experience: Previous experience within general insurance 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 Experience in statistical and data science programming languages (e.g. R, Python More ❯

across the department. Reporting to the Head of Pricing, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers and Atlanta. Bringing best in class … influencing the direction & outcome of projects Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions Provide thought leadership on optimisation and modelling concepts Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability … they fit into the wider piece, and identify where they can be improved Key Skills and Experience: Previous experience within general insurance 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 Experience in statistical and data science programming languages (e.g. R, Python More ❯

across the department. Reporting to the Head of Pricing, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers and Atlanta. Bringing best in class … influencing the direction & outcome of projects Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions Provide thought leadership on optimisation and modelling concepts Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability … they fit into the wider piece, and identify where they can be improved Key Skills and Experience: Previous experience within general insurance 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 Experience in statistical and data science programming languages (e.g. R, Python More ❯

We’re Hiring: Data Scientist | Fast-Growing Tech Company | London (Hybrid) Are you a data expert who loves solving real-world problems with predictive models and analytics? Join a fast-growing tech company where your models will drive strategic decisions and support high-impact business growth. 📍 Location: London (3 days per week in-office) 🔍 About the Role We’re … foundations, top-tier Python/SQL skills, and hands-on experience in machine learning. You’ll join a lean, ambitious data team and play a key role in forecasting, modelling, and strategic planning across the business. Your insights will help shape operational and financial decisions company-wide. 🧠 What You’ll Do Develop, deploy, and maintain predictive models to More ❯

We’re Hiring: Data Scientist | Fast-Growing Tech Company | London (Hybrid) Are you a data expert who loves solving real-world problems with predictive models and analytics? Join a fast-growing tech company where your models will drive strategic decisions and support high-impact business growth. 📍 Location: London (3 days per week in-office) 🔍 About the Role We’re … foundations, top-tier Python/SQL skills, and hands-on experience in machine learning. You’ll join a lean, ambitious data team and play a key role in forecasting, modelling, and strategic planning across the business. Your insights will help shape operational and financial decisions company-wide. 🧠 What You’ll Do Develop, deploy, and maintain predictive models to More ❯

We’re Hiring: Data Scientist | Fast-Growing Tech Company | London (Hybrid) Are you a data expert who loves solving real-world problems with predictive models and analytics? Join a fast-growing tech company where your models will drive strategic decisions and support high-impact business growth. 📍 Location: London (3 days per week in-office) 🔍 About the Role We’re … foundations, top-tier Python/SQL skills, and hands-on experience in machine learning. You’ll join a lean, ambitious data team and play a key role in forecasting, modelling, and strategic planning across the business. Your insights will help shape operational and financial decisions company-wide. 🧠 What You’ll Do Develop, deploy, and maintain predictive models to More ❯

a key role in driving innovation and pricing best practice, and act as a trusted expert across the business. The Pricing portfolio management team is responsible for developing new modelling techniques and processes and building and refreshing the risk models that underpin our rates that need to operate effectively in the aggregator channels. Key Responsibilities Lead the design and … tactical pricing initiatives and optimise pricing opportunities through robust analytical insights Provide strategic oversight of pricing recommendations that improve portfolio performance and meet profitability targets Collaborate with Underwriting, Technical Modelling, and Data teams to inform product development, technical model calibration, and risk cost feedback loops Manage stakeholder relationships across the business, ensuring clear communication of analytical insight and pricing … roadmap in line with our long-term strategy and growth objectives Key Skills And Experience Substantial experience within Personal Lines Pricing, ideally including team or project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL More ❯

Certification in Data Warehousing and related technologies is a plus. Must be able to attain and hold National Security Vetting to a minimum SC level. Experience in data analysis, modelling, and management. Prior experience in developing analytical data models and ETL (Extract, Transform, Load) processes. Adept at designing, implementing, and optimizing data models to drive insightful analytics and support … technical stakeholders and collaborate with cross-functional teams. Strong working knowledge of SQL and DAX. Familiarity with VBA, PowerShell, and Python is a plus. Strong understanding & proficiency in data modelling, statistical analysis, and predictive modelling. An understanding of data privacy laws and regulations such as GDPR is essential. Knowledge of industry-standard security protocols and frameworks, such as More ❯

they want someone who can drive seamless deployment of their AI-driven platform . Responsibilities: Data Engineering – Data extraction, cleaning, and integration Analytics & Insight – Turning data into meaningful insights Predictive Modelling – Configuring machine learning models Power BI Dashboards – Building and adapting dashboards for clients Project Management – Leading technical implementation Qualifications: You’ll need: 4+ years in data engineering More ❯

we’re looking for 3-5+ years of experience in marketing analytics, campaign analysis, or marketing operations. Strong understanding of B2B marketing metrics (ROI, CAC, pipeline impact, attribution modelling). Hands-on experience with Google Analytics, marketing automation tools (Pardot preferable), and CRM systems (Salesforce preferable). Proficiency in data visualization tools (Power BI preferable). Ability to … large datasets and extract meaningful insights to improve marketing performance. Strong communication skills to present insights and work cross-functionally with multiple teams. Familiarity with AI-driven analytics and predictive modelling for campaign performance is a plus. What we offer 25 days holiday (exc. bank holidays) + 3 BigHand days off between Christmas & New Year Various wellbeing benefits More ❯

Group. This role has a strong research and development focus. You’ll explore creative ways to use our rich data assets and the latest machine learning techniques to enhance predictive modelling in Insurance Pricing. You’ll also work closely with a wide range of internal and external partners, helping to align priorities and maximise the value of our … PhD, or equivalent experience in a numerate or scientific subject (or a different path that’s given you similar skills). Experience working with data—this could include statistical modelling or programming in Python, SQL, R, C++, or similar. What you’ll get for this role: Our purpose - with you today, for a better tomorrow – is a promise we More ❯

the direction of data-driven decision-making across the organisation. Key responsibilities for the Data Scientist – Analyse large volumes of structured and unstructured data to extract meaningful insights. Develop predictive models and machine learning algorithms to support business goals. Build and deploy data science solutions into production environments. Work closely with software engineers and data engineers to ensure end … Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based environments, particularly AWS. Comfortable with SQL and working with relational and More ❯

of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. … inception through to production monitoring and optimisation Designing and implementing sophisticated experiments and models that significantly enhance business performance Expert-level knowledge of machine learning and statistical methods for predictive modelling and forecasting Extensive experience deploying ML models to production at scale with robust monitoring systems Advanced knowledge of SQL and data manipulation techniques Mastery of software engineering More ❯

platforms to identify opportunities for improvement. Develop and maintain dashboards and reports to monitor key metrics such as engagement, retention, churn, and feature adoption. Use segmentation, cohort analysis, and predictive modelling to uncover insights into the full customer journey. Collaborate with data engineering to ensure data integrity and accuracy. Support A/B testing and experimentation, including tagging More ❯

the direction of data-driven decision-making across the organisation. Key responsibilities for the Data Scientist – Analyse large volumes of structured and unstructured data to extract meaningful insights. Develop predictive models and machine learning algorithms to support business goals. Build and deploy data science solutions into production environments. Work closely with software engineers and data engineers to ensure end … Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based environments, particularly AWS. Comfortable with SQL and working with relational and More ❯

the direction of data-driven decision-making across the organisation. Key responsibilities for the Data Scientist – Analyse large volumes of structured and unstructured data to extract meaningful insights. Develop predictive models and machine learning algorithms to support business goals. Build and deploy data science solutions into production environments. Work closely with software engineers and data engineers to ensure end … Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based environments, particularly AWS. Comfortable with SQL and working with relational and More ❯

the direction of data-driven decision-making across the organisation. Key responsibilities for the Data Scientist – Analyse large volumes of structured and unstructured data to extract meaningful insights. Develop predictive models and machine learning algorithms to support business goals. Build and deploy data science solutions into production environments. Work closely with software engineers and data engineers to ensure end … Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based environments, particularly AWS. Comfortable with SQL and working with relational and More ❯

Agile methodologies to deliver data science developments, and actively participating in hiring to build a robust data science team. The role may involve expertise in either machine learning (e.g., predictive modelling, classification, anomaly detection) or mathematical optimisation (e.g., scheduling, resource allocation, route optimisation). Candidates with a strong background in one area and interest in the other are … in SQL (any variation). Experience using Python to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working More ❯

Agile methodologies to deliver data science developments, and actively participating in hiring to build a robust data science team. The role may involve expertise in either machine learning (e.g., predictive modelling, classification, anomaly detection) or mathematical optimisation (e.g., scheduling, resource allocation, route optimisation). Candidates with a strong background in one area and interest in the other are … in SQL (any variation). Experience using Python to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working More ❯

Agile methodologies to deliver data science developments, and actively participating in hiring to build a robust data science team. The role may involve expertise in either machine learning (e.g., predictive modelling, classification, anomaly detection) or mathematical optimisation (e.g., scheduling, resource allocation, route optimisation). Candidates with a strong background in one area and interest in the other are … in SQL (any variation). Experience using Python to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working More ❯