1 to 25 of 198 Predictive Modelling Jobs

re looking for:o Expert knowledge and expertise in applying data science and advanced analytical techniques including machine learning, natural language processing, statistical and predictive modelling and emerging techniques such as generative AI.o Ability to lead the delivery of complex, high value projects.o Expertise in using R and … implementation of data science and advanced techniques in response to business questions including exploratory analysis, machine learning, natural language processing, data linkage, statistical and predictive modelling, data visualisation and emerging techniques such as the application of generative AI. Expanding team capabilities. Leads on the implementation of production machine … advice and guidance across the NHSBSA on data science and advanced analytical techniques including the development of machine learning, natural language processing, statistical and predictive modelling and emerging techniques such as the application of generative AI. This will include individuals and groups of customers at all levels and more »

largest private healthcare providers. As a start-up with Series A funding, their team of fewer than 50 dedicated professionals focuses on advanced analytics, predictive modelling, and the development of cutting-edge solutions to revolutionise the healthcare industry. Their mission is to leverage AI to improve health outcomes … of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictive modelling, and advanced analytics. Excellent problem-solving skills and the ability to think critically and creatively. Experience in the healthcare industry is highly 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 »

or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java 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 »

data scientist with strong technical skills in managing data and working with data warehouse environments, developing business intelligence products (including interactive visual reports), data modelling, and producing analysis using statistical software (e.g. R and Python). The Data Scientist will use their technical skills to implement statistical analysis, develop … data, communicating analysis with clarity and impact. You will provide specialist knowledge and practice skills in the implementation of analytical techniques (including statistical analysis, predictive modelling and forecasting, and mining of data) to support Business Informatics colleagues deliver an effective business intelligence function to the Trust. About us … Essential Skills in at least one programming language commonly used for analysis Advanced user of MS Office suite, in particular Excel & SQL Server Benchmarking, modelling and forecasting skills Knowledge of data warehouse environments Strong communication skills both written and verbal Desirable Advanced user in R or Python Use of more »

provide theoretical and practical knowledge of Business Intelligence Architecture including Extract, Transform and Load (ETL), SSIS (SQL Server Integration Services), Data Warehousing and Data Modelling? The role will develop an array of data science approaches to ensure user requirements are met with accurate and well-presented outputs supporting the … Provide theoretical and practical knowledge of Business Intelligence Architecture including Extract, Transform and Load (ETL), SSIS (SQL Server Integration Services), Data Warehousing and Data Modelling to team members Provide reports to an agreed standard to meet the requirements of NIHR Academy Executive Board Provide support and contribute to the … to Information Requests and long-term analytics Technical Provide advanced theoretical and practical knowledge of data architecture and data base design to support data modelling and the development of analytical data visualisation dashboards and reporting. Be/Act as the domain expert for machine learning and AI, understand what more »

quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks more »

to have a major say and influence on projects. Key Responsibilities: Data Analysis & Modeling: Analyse large, complex datasets to extract actionable insights and build predictive models to optimise energy production, distribution, and consumption. Algorithm Development: Develop and implement advanced machine learning algorithms to forecast energy demand, improve grid reliability more »

to-end data science projects from problem formulation to implementation and deployment. You'll communicate effectively with stakeholders and form strong business relationships, leveraging predictive modelling, segmentation techniques and AI algorithms to unlock valuable insights. Responsibilities Spearhead projects with cross functional leaders Use models like regression and propensity more »

natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive more »

LEAD DATA SCIENTIST £60,000 – 75,000 LEICESTER 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! THE COMPANY A UK renowned retailer within fashion going through a HUGE digital transformation and … organisation! THE ROLE As a Lead 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 who customers … your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics more »

quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks more »

improvements Qualifications Bachelor's degree (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in a similar role Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language, ideally Python but can also be Java or C/ more »

pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of more »

Hush to develop, maintain and draw insights from business intelligence solutions consisting of Google Big Query (Data warehouse), Domo (Visualisations), Snaplogic (ELT), and DBT (Modelling). Reporting into our Head of Technology, playing a critical role in our small Data Engineering team of 2, you’ll have the opportunity … Co-own customer data and insights in collaboration with the Marketing teams. Apply advanced statistical and machine learning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data. Build predictive models to forecast customer behaviour, including sales trends, churn prediction, and lifetime … value projections. Utilise techniques like customer lifetime value (CLV) modelling and cohort analysis to provide a comprehensive view of customer behaviour. Champion a data-driven culture. THE PERSON Strong communication skills; able to articulate complex technical topics for non-technical colleagues to understand and report on data activity progress. more »

degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN), LLMs Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Experience Managing/ more »

Translate findings into actionable recommendations for the organization. Leverage data-driven insights to guide strategic planning, resource allocation, and risk assessment. Develop and implement predictive models to forecast future trends, anticipate challenges, and identify opportunities for innovation and improvement within Information Services. Design and implement performance measurement frameworks to more »

functionally to enable data-driven decision-making. Key Responsibilities - Champion data-driven decision-making agency-wide - Analyze large datasets to extract valuable insights - Develop predictive models for forecasting - Implement attribution tracking and modeling - Utilize big data tools like Google BigQuery - Create compelling data visualizations - Communicate insights to stakeholders - Develop more »

unstructured data sources to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modeling, and machine learning algorithms. The role is cross functional and will require working closely with a wide variety of stakeholders including senior members more »

Engagement, which work closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize 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 »