2 of 2 Exploratory Data Analysis Jobs in Somerset

Join to apply for the Head of Data Science and AI role at Talent . Job Details This is a 12-month contract within the public sector, based in Somerset, with hybrid working (3 days onsite per week). The pay range is provided by Talent, with actual pay based on skills and experience; discuss with your recruiter for … more details. Pay and Clearance £1200 per day, inside IR35 Active SC Clearance required Role Overview Our public sector client seeks a Head of Data Science and AI to lead a team of data scientists. Responsibilities include building team capabilities, setting objectives, and ensuring successful project delivery. Skills and Experience Expertise in data science and machine learning … techniques (supervised, unsupervised, deep learning); knowledge of generative AI is desirable. Strong knowledge of statistics, applied mathematics, and scientific analysis with proven experience in delivering organizational benefits. Proficiency in exploratory data analysis and handling large datasets. Experience with Machine Learning Ops and A/B testing. Understanding of responsible and ethical AI practices. Skills in programming More ❯

collaboration, recognition and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world … Key Vault), and telemetry via Application Insights or Log Analytics. KEY RESPONSIBILITIES: Have 5+ years of technical consulting or a similar chronology of demonstrable success in coding and deploying Data and AI models onto Azure environments. At least one year using Azure Fabric Create scalable and reliable data pipelines for data processing, transformation, and storage. Establish and … enforce data governance policies and be ‘hands-on’ in exploratory data analysis to identify and measure quality gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI More ❯