1 to 3 of 3 Permanent Time Series Analysis Jobs in the UK excluding London

Responsibilities : Develop new and improve existing models of customer behaviour under the direction of the data manager within the team. Be that churn models, time series forecast models, value assessment of the customer base or other more specific and target models. Contribute to develop new and improve existing … 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 platforms such … as Databricks, Snowflake, Google BigQuery etc. Proven experience of working with customer data. You've a strong commitment to accuracy and rigour in the analysis produced. You are empathetic to the importance of Data Governance and good Data Quality. You have a strong attention detail and are willing to more »

and models and creating new ones to continually improve. Lead development of new and improve existing models of customer behaviour, be that churn models, time series forecast models, value assessment of the customer base or other more specific and target models. Lead the deployment models into production so … ability to communicate and install this within the wider team. You've excellent analytical skills and statistical understanding, including experience in: predictive modelling, segmentation, time series analysis and applying these for decision making. You've had experience using cloud based analytical platforms such as Databricks, Snowflake, Google … experience of leading a data science team Proven experience of working with customer data You've a strong commitment to accuracy and rigour in analysis that is produced. You care about Quality Assurance, and lead coding documentation and version control best practices using GitHub. You are empathetic to the more »

serious commercial experience working in a data analytics role. What technical skills are required? wrangling mastery - having the data shaping skills needed to deliver analysis across relational and non-relational data structures, working with structured, semi-structured and unstructured formats. proficiency - very comfortable employing statistical techniques to solve commercial … problems, including, hypothesis testing, feature transformations, dimensionality reduction, correlation analysis, regression analysis (multiple linear and logistic), time series analysis and Bayesian methods. skills - adept in Python and its core data/analytics libraries (including in relation to working with Amazon Dynamo DB), alongside SQL, HiveQL more »