2 of 2 Permanent Senior Data Scientist Jobs in Merseyside

Job summary The Chief Data Officer Group (CDO), consists of a large community of data scientists, government analysts (GSG, GORS, GES, GSR), intelligence analysts, mathematical modellers, epidemiologists, information specialists, and data engineers. This is a unique opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. … UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including software such as Confluence and Jira to manage delivery. Our Enterprise Data and Analytics Platform (EDAP) is enriched with curated … consistent, and high-quality data from existing platforms as well as providing access to a range of analytical tooling. Main duties of the job We currently have openings in the following teams: Health Analytics and Automation - Leading on the delivery of key products to support incident response and the routine surveillance of health conditions and infectious diseases. Work across More ❯

Senior Data Scientist - Liverpool - Hybrid - £65k - £70k My client are an emerging business in the retail industry who are looking to advance their data science capabilities. The chosen candidate will play a key role in developing these capabilities and will lead on best practices and development of their data science goals. Salary and Benefits Competitive … and the rest from home 25 days annual holiday, rising to 28 days with years of service Discretionary bonus scheme And many more Role and Responsibilities Design and deliver data science solutions that drive business outcomes Lead the development of predictive and optimisation models using Python, Databricks, and GCP Enhance the businesses AI and ML capabilities to modernise the … data platform Collaborate with stakeholders to understand their goals and ensure analytics work is aligned to practical business requirements Lead and take ownership of discrete workstreams within larger projects, ensuring timely, accurate, and business-relevant outputs Contribute to strategy and best practice for the long-term development of the data science function Requirements Experience in a data More ❯