1 to 25 of 83 Predictive Modelling Jobs in the UK

decisions based on this Desirable: Experience with SQL, Alteryx, Python or R Understanding how advanced analytics techniques (e.g. clustering, regression, machine learning, text analytics, predictive modelling) can be applied to client problems Experience in Microsoft Azure or other cloud platform Experience in strategy consulting for data and insights more »

to know the business The International Rater Delivery Team within Global Pricing - Actuarial develop commercial rating solutions for underwriting teams within AIG. Calibrated through predictive modelling and market insights, the raters are used by underwriters to guide pricing and risk selection and are critical to AIG’s long … term profitability. The team works alongside North America counterparts, Product Actuaries, Underwriters, and the other teams within Global Pricing (Modelling and Analytics, Pricing MI and Pricing Effectiveness) to provide a comprehensive approach to pricing and portfolio optimization. What you need to know: This is a fantastic new role which more »

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 direct brands Support delivery of pricing & underwriting business plan across … 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 more »

strong background in quantitative finance and excellent programming skills in Python. Responsibilities: Analyse large data sets using statistical techniques Conduct macro analysis and build predictive models Research and develop quantitative trading strategies across FI, FX and commodities Build tools for systematic trading Requirements: PhD or Master's degree in more »

companies pricing capabilities. Analysing and monitoring loss rations, performance metrics and rate strength, as well as other account performances. Carruing out pricing analysis, through predictive risk, residual modelling and developing pricing recommendations. Assessing the affect of rate change impacts through predictions through to post deployment review. Build and … You will act as a pricing and performance representative on your specific product lines. Collborate with internal teams. YOUR SKILLS AND EXPERIENCE Knowledge of predictive modelling techniques including GLM and GBM and/or ML techniques. Experience using Emblem or Radar software and having built/developed Radar more »

data and uncovering pivotal factors for optimizing search engine rankings. Your role will involve collaborating with diverse teams to gather and analyze data, construct predictive models, and fine-tune algorithms to elevate website performance. Dive into the realm of data preprocessing, feature selection, model training, and performance assessment in more »

into impactful AI solutions, guide project execution, and mentor junior data scientists through clear communication and knowledge sharing. Research and implement emerging NLP and predictive modeling techniques, architect and manage APIs, and continuously learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying more »

ability to predict match outcomes. This role involves working with other data scientists, software engineers and sports experts to research ways in which the modelling approaches can be improved, and then turning those insights into practical modelling solutions that can deploy to production. About you Strong Python experience … fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques and tools are more »

+ benefits. 3 days per week in the London office required. Role Summary This role is to provide a range of analytics and modelling to support the development of new innovative capabilities and extending this to delivery of pilot projects for some of the world’s biggest brands. Sitting … consumer insight and the ability to target audiences effectively with smart algorithms using privacy compliant methods. Key Responsibilities • Audience creation and insight curation • Audience modelling and activation algorithms • New fusion methods to connect different datasets • Consumer journey understanding • These projects include a full range of supporting analytics covering; o … Feature creation o Addressing bias and weighting o Validations o Model selection Additional skills Predictive modelling Attribution modelling Multivariate model development Geographical analytics Text mining and content analytics Conjoint analysis Machine learning processes Data manipulation language; such as Python, R or similar Experience using website analytics packages more »

to interpret data trends, patterns, and correlations, and communicate insights and recommendations to business stakeholders. • Utilize advanced machine learning and AI techniques to develop predictive models for improving business processes, customer experience, and operational efficiency. • Conduct exploratory data analysis to identify opportunities for data-driven decision-making and formulate more »

Computer Science, Engineering, Mathematics, or a related discipline Demonstrated success in designing and delivering AI solutions within the insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud more »

make a lot of progress in the applications around Data Science and Machine Learning within the industry. Immediate work will cover projects Forecasting and Predictive Modelling. ROLE: Lead forecasting projects independently from start to finish Utilize machine learning techniques to anticipate trends and inform strategic decisions Collaborate closely with more »

target and describe customers. · Deploy models into production so they can be consumed by other analytical teams across the business. · Deliver complex descriptive and predictive customer behavioural analytics. · Bring external thinking to the Company by maintaining an awareness of analytics usage in retail and other sectors and by keeping … knowledge in either Python or R with a strong ability to use SQL. You’ve excellent analytical skills and statistical understanding, including experience with: predictive modelling, segmentation, time series analysis and have had hands-on experience in their application. · You’ve had some experience using cloud based analytical more »

data to be used in the ML algorithms when relevant Responsibilities • Supports model, application and data maintenance • Understands complex data sets, identifies patterns, builds predictive models, and makes data-driven decisions 5+ years of experience in data science/prompt engineering or similor roles Expertise in data handling, and more »

and development creating an active learning system, in which model predictions guide lab experiments, lab automation generates high-throughput data for model training , and predictive models are updated as new data are generated . ASTRAZENECA With one of the broadest and deepest Oncology pipelines in the industry , there are … paced Oncology field. What you'll do You will work closely with our R&D scientists in fields of software engineering , lab automation, computational modelling and machine learning , with access to biologics R&D data across AstraZeneca constantly generating new data to both build and inform predictive models more »

Desirable skills, qualifications, and experience: A personal interest and experience of participating in sport and physical activity. Skills and experience in data analytics, including predictive modelling and analysis of large and complex datasets Experience and knowledge of the UK sport and leisure sector. A degree or masters in more »

decisions to deliver better products, services and relevance to consumers. Utilising advanced analytics tools like Dataiku, you will be responsible for extracting insights, building predictive models and generating actionable recommendations to optimise customer experiences and drive business growth. Duties Data Analysis and Exploration: Utilize Dataiku and other analytical tools … and explore customer data from various sources. Identify patterns, trends, and correlations within the data to uncover actionable insights. Model Development and Deployment Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. Implement machine learning techniques to segment customers and personalize marketing strategies. Deploy models … improve customer engagement, satisfaction, and loyalty. Continuously monitor market trends and competitor activities to identify opportunities for innovation. Skills Experience in data analysis, statistical modelling, and machine learning techniques. Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. Strong programming skills in languages such more »

an easy to understand format to both internal and external stakeholders about reporting requirements and information Take a lead role in the development of predictive modelling, clinical and patient flow algorithms, statistical data analysis, and analytics to support developments in both Data Services, and Clinical Data Services. Support more »

management, including data acquisition, data cleaning, data integration, and data visualization. Proficiency in data analysis techniques, including statistical analysis, machine learning, data mining, and predictive modelling. Experience with tools such as R, Python (including libraries like NumPy, Pandas, scikit-learn), MATLAB, or SAS is often necessary. Proficiency in cartographic more »

key data science opportunities in the EV ecosystem. Analyse large datasets related to EV charging behaviour, vehicle performance, energy consumption, and environmental impact. Develop predictive models to forecast EV demand, charging station utilisation, and battery performance. Design and implement machine learning algorithms to optimise EV charging schedules and reduce more »

degree in Actuarial Science, Mathematics, Statistics, or a related field. Master's degree or actuarial credentials (FCAS, ACAS, or equivalent) preferred Experience of actuarial modelling in pricing roles within the insurance industry Deep understanding of actuarial principles, statistical modelling techniques, and insurance pricing methodologies Advanced analytical skills with … to inspire and motivate a team to achieve results Knowledge of regulatory requirements and compliance considerations in insurance pricing Experience with machine learning and predictive modelling techniques is a plus more »

experience. THE ROLE: As the Customer Data Scientist, you will be reporting to the Head of Data Science and you will work on: statistical modelling within the customer analytics space to provide insight on customer behaviour this includes customer regression models, prediction models and forecasting for customer behaviour across … the business personalising the customer shopping experience online through past behaviours and predictive modelling building and working with models from scratch, across neural networking, segmentation, regression, propensity to buy/churn/lapse analyse the performance and success of statistical modelling, personalisation and marketing performance overseeing a … AND EXPERIENCE: excellent skills in SQL and Python experience in building and deploying analytical models from end to end experience building regression, propensity and predictive models that can be built into the systems analytical capabilities for assessing performance and success excellent communication skills for working with other teams and more »

successful when applying for this role you will need: with owning the data visualisation platform within Tableau experience in data mining, statistical analysis and predictive modelling experience using SQL to DBT, big query or other cloud data warehouses worked cross-functionally with a wide range of data teams more »

applying for this role you will need: Experience with owning the data visualisation platform within Tableau Proven experience in data mining, statistical analysis, and predictive modeling Strong experience using SQL Exposure to DBT, big query, or other cloud data warehouses Previously worked cross-functionally with a wide range of more »

fully remote working. Responsibilities: Manage rate changes and implementation of new models and pricing algorithms. Contribute to the development of the pricing ecosystem. Build predictive models using SAS, RADAR , EMBLEM, and other software packages Help to shape the direction of the product with a forward-looking approach and willingness more »