1 to 25 of 152 Predictive Modelling Jobs

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 »

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 »

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 »

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 »

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 »

+ 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 »

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 »

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 »

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 »

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 »

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 »

DATA SCIENTIST- LOGISTICS £50,000 - 60,000 SHEFFIELD Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer across their logistics! THE COMPANY A UK renowned retailer within fashion going through a HUGE … the organisation! THE ROLE As the Data Scientist your focus will be to design and run experiments to collect and process relevant data for predictive models, specifically you will have to: Build and implement predictive models that drive business performance and understanding Deliver an understanding of logistics, cost … saving and supply chain, you will use predictive models to forecast and money save! Tell a story with the data through data visualisation, highlighting clear strategic direction and insights to stakeholders Help to grow the analytics capabilities of the logistics team, work with senior stakeholders to question and innovative 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 »

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 »

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 »

of Client's Ireland target Data & A.I. Architecture to Azure. Encompassing data ingestion, storage, operational consumption, Datamodelling, data warehousing BI/analytics, advanced analytics & predictive model life cycle management & integration. Collaborates effectively with key stakeholders to ensure alignment with strategy, and engages effectively to ensure data and solutions are … Azure SQL Database o Azure ML and Cognitive Services o OpenShift o PowerBI * Practical hands on experience designing and developing MLOps automation capability, and predictive model integration and life cycle management. * Networking, gateway & security infrastructure for on-premise integration and hybrid cloud * Knowledge of analytical programming languages and environments more »

of working from home and office. What's involved? Managing a team of Pricing Analysts and Senior Pricing Analyst. Develop, validate, review and approve predictive and machine learning models. Lead the pricing strategy development process, including pricing optimisation and analysis. Conduct comprehensive market research to identify pricing trends and … Experience in insurance pricing or related analytical background. Highly skilled in the use of programming language e.g. SAS Experience in some of the following predictive modelling techniques e.g. Logistic regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. more »

integration, and ETL processes. Proficiency in programming languages such as Python or R for advanced data manipulation and analysis. Skills in advanced statistical analysis, predictive modeling, or machine learning techniques. Healthcare industry previous experience or knowledge. At UnitedHealth Group, our mission is to help people live healthier lives and more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »

deliver value added business solutions that have a measurable impact on results. Drive pragmatic approaches to solving key complex business problems through advanced planning, predictive modeling and machine learning techniques. The VP is responsible for defining, changing and adapting TPG's ways of working to optimize the accelerated delivery more »