1 to 7 of 7 Data Analysis Jobs in Chester

the accountable function and ensuring corrective and preventative action is taken (ambition is within one shift) preventative action to be taken through problem solving analysis through multifunctional team activities. • To conduct investigations to assess the probable root cause of any deficiency noted during process confirmation activities, informing the accountable … problem solve and use associated problem-solving tool sets (PPS, 5Y, Ishikawa etc) • Good interpersonal skills - ability to challenge appropriately whilst maintaining strong relationships. • Data analysis skills - interpret data sets, graphical data and draw conclusions. • Work well as part of an integrated team alongside operational and more »

solve and use associated problem-solving tool sets (PPS, 5Y, Ishikawa etc). Good interpersonal skills - ability to challenge appropriately whilst maintaining strong relationships. Data analysis skills - interpret data sets, graphical data and draw conclusions. Work well as part of an integrated team alongside operational and more »

the Commercial Intelligence function. In this role, you will play a key part in informing and supporting decision-making by analysing and interpreting commercial data, and guiding the business towards or exceeding its revenue targets. Key Responsibilities: Analyse and interpret trading performance data, including volume, revenue, price, and … promptly. Collaborate closely with the Revenue Management teams to provide insights and analyses, enabling better pricing and source market/channel distribution decisions. Harmonize data with the group data team to ensure consistency and maintain a single version of the truth. Build and manage stakeholder relationships across various … teams within the group. Requirements: Demonstrated experience working in an analytical role for over 2 years. Analytical mindset with a passion for data analysis and a curiosity to understand trends and patterns. Highly proficient in MS Excel, with the ability to interpret large volumes of data. Excellent communication more »

We are looking for an exceptional Data Scientist to drive the development of innovative AI and ML solutions for biomarker discovery, drug response prediction, and clinical decision-making support. This role offers a unique opportunity to leverage AI/ML technologies to enhance cancer patient outcomes. This position requires … ML) and Deep-Learning (DL) methods, with over 5 years of expertise? This role involves applying various ML approaches to complex molecular and clinical data for biomarker discovery. Additionally, proficiency in a cloud platform like GCP, AWS, or Azure is key, along with experience in source control and software … especially in ML best-practices, is highly valued. We are looking ideally for individuals with expertise in Bayesian statistical methods, bioinformatics pipelines for proteomics data analysis, and experience in regulated environments. If you have a PhD or equivalent experience in these fields and are fluent in R, Python more »

and customers to understand their requirements and to work collaboratively with them to develop a range of tools to meet their needs especially in data analysis. Development of existing and new products and services to grow new business opportunities. Provide routine maintenance, trouble shooting and training support to customers more »

were the first training provider to offer a completely tech-focused, tech-driven training solution. We specify in IT, Software Development, Digital Marketing and Data Analysis and help to transform peoples knowledge and passion into skills employers need. If this sounds like the role for you, get in more »

a PhD in a relevant or STEM-based subject, along with over 3 years of experience in statistical and predictive modeling for high-dimensional data analysis. Additionally, the ideal candidate should have over 2 years of experience in proteomic bioinformatics and be fluent in R. The role involves applying … various machine learning approaches to complex molecular and clinical data for biomarker discovery, as well as handling and drawing insights from large biological datasets. A strong problem-solving track record in an interdisciplinary setting and a solid understanding of biochemical and molecular biological systems is essential. more »