226 to 250 of 756 Predictive Modelling Jobs in England

visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of mentoring and coaching junior analysts, acting as a subject matter expert in business analytics. WHO WE ARE At the core of More ❯

visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of mentoring and coaching junior analysts, acting as a subject matter expert in business analytics. WHO WE ARE At the core of More ❯

generate personalised recommendations for customers. You’ll help retailers predict which products will sell best in different regions or during different seasons, allowing for more efficient stock management. Building predictive models using real-time retail data, such as sales trends, customer behaviour, and external factors (e.g., social media sentiment or weather patterns). These models will help businesses optimise More ❯

free of the normal and develop real innovation to the Insurance Industry! The Senior Data Scientist will assist in the identification and creation of cutting-edge data assets and predictive models that feed into Hastings’ market-leading pricing activities. This role is within a challenger product with a team comprising Data Scientists/Modellers as well as Analysts all More ❯

your strong business acumen with statistical expertise (e.g. confidence intervals, regression modeling, significance testing), including demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques). Deep concern about the details and high-quality instrumentation that lead to high-quality, impactful insights. Excellent problem-solving skills More ❯

include a mixture of technical work, the drafting of technical documentation and communication with various stakeholders around M&G plc. This is a permanent position, reporting to a Risk Modelling Manager, which has a blended approach between working from home and in our Scotland or London offices. The wider Risk Modelling team is responsible for economic and market … Skills & Experience Essential: Bachelor’s degree, Master’s degree or PhD in a quantitative subject, e.g. mathematics, computer science, actuarial science, data science. 3+ years of experience in quantitative modelling gained within the insurance, banking or asset management industry. Good knowledge of financial markets. Good knowledge of multiple asset types. Good understanding of statistics and statistical methods (e.g. stochastic … an understanding of audience-specific communication requirements. Desirable: Professional designations such as CFA, FRM, FIA/FFA would be viewed as favourable. Experience in the use and enhancement of predictive models using statistical and data science techniques, including feature engineering. Performing experience analysis and data manipulation, including the utilisation of machine learning techniques, in relation to monitoring credit experience More ❯

licence and own car. We are hiring a Credit Risk Analyst/Data Scientist to join a collaborative and innovative team that is shaping the future of credit risk modelling and forecasting. This is a fantastic opportunity to work closely with experienced professionals and gain hands on experience in predictive modelling, loss forecasting, and machine learning, all … within a growing, tech enabled financial services organisation. The Role You will be part of a small, high impact data science team responsible for: Developing predictive models such as scorecards and machine learning models for customer acquisitions and collections Supporting loss forecasting for both new business and the existing portfolio Exploring new data sources and modelling techniques to … subject such as Mathematics, Statistics, Data Science, Economics, or Physics 1 to 2 years of experience in a Financial data driven environment, or strong academic project experience Familiarity with modelling techniques like logistic regression or basic machine learning A keen interest in data science and its applications in finance or risk Strong attention to detail and a problem solving More ❯

licence and own car. We are hiring a Credit Risk Analyst/Data Scientist to join a collaborative and innovative team that is shaping the future of credit risk modelling and forecasting. This is a fantastic opportunity to work closely with experienced professionals and gain hands on experience in predictive modelling, loss forecasting, and machine learning, all … within a growing, tech enabled financial services organisation. The Role You will be part of a small, high impact data science team responsible for: Developing predictive models such as scorecards and machine learning models for customer acquisitions and collections Supporting loss forecasting for both new business and the existing portfolio Exploring new data sources and modelling techniques to … subject such as Mathematics, Statistics, Data Science, Economics, or Physics 1 to 2 years of experience in a Financial data driven environment, or strong academic project experience Familiarity with modelling techniques like logistic regression or basic machine learning A keen interest in data science and its applications in finance or risk Strong attention to detail and a problem solving More ❯

on shaping our pricing models. As a Pricing Analyst, you will use your advanced analytical skills to: Monitor our portfolio and deliver innovative pricing solutions, Use a blend of predictive analytics and commercial acumen to distil key trends and identify pricing actions, Contribute to the profitability of the products by meeting loss ratio targets and protecting capacity providers’ financial … results by balancing product volume and profitability 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: Support the design, development and implementation of a robust and innovative performance monitoring framework Contribute to … impact analytics. Work closely with the Underwriting team on risk appetite, product development and innovation supporting progression by providing performance and market analytical insight. Work closely with the Technical Modelling team on peril risk cost models ensuring product performance dynamics are suitably captured and fed back in technical models. Contribute to delivery of the pricing roadmap in line with More ❯

on shaping our pricing models. As a Pricing Analyst, you will use your advanced analytical skills to: Monitor our portfolio and deliver innovative pricing solutions, Use a blend of predictive analytics and commercial acumen to distil key trends and identify pricing actions, Contribute to the profitability of the products by meeting loss ratio targets and protecting capacity providers' financial … results by balancing product volume and profitability 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: Support the design, development and implementation of a robust and innovative performance monitoring framework Contribute to … impact analytics. Work closely with the Underwriting team on risk appetite, product development and innovation supporting progression by providing performance and market analytical insight. Work closely with the Technical Modelling team on peril risk cost models ensuring product performance dynamics are suitably captured and fed back in technical models. Contribute to delivery of the pricing roadmap in line with More ❯

on shaping our pricing models. As a Pricing Analyst, you will use your advanced analytical skills to: Monitor our portfolio and deliver innovative pricing solutions, Use a blend of predictive analytics and commercial acumen to distil key trends and identify pricing actions, Contribute to the profitability of the products by meeting loss ratio targets and protecting capacity providers’ financial … results by balancing product volume and profitability 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: Support the design, development and implementation of a robust and innovative performance monitoring framework Contribute to … impact analytics. Work closely with the Underwriting team on risk appetite, product development and innovation supporting progression by providing performance and market analytical insight. Work closely with the Technical Modelling team on peril risk cost models ensuring product performance dynamics are suitably captured and fed back in technical models. Contribute to delivery of the pricing roadmap in line with More ❯

Heath, West Sussex or Salford Quays, Manchester offices. In this role you’ll be responsible for the continuous improvement of the burn cost models through the identification of new predictive factors. You’ll look to increase the granularity of the models, investigate novel predictive modelling techniques and developing cutting-edge reporting suites. Analytical and inquisitive? Lets do … this, together! Core skills we’re looking for to succeed in the role: Strong data analysis ability Mathmatical modelling experience Minimum 2:1 degree in a numerical subject Experience programming in SAS and/or Python Experience in the Insurance industry What’s involved Support the appropriate use of statistical techniques & models to improve the accuracy and stability of … burn cost models. Support the development of analytical tools and reporting suites to enable the efficient testing of new factors and modelling techniques. Continually support the development the rate change process to ensure we minimise rating errors and efficiently make changes as required by the business. Ability to produce timely and accurate information for management decision-making purposes. To 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 ❯

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 ❯

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 ❯