6 of 6 Remote/Hybrid Use Case Jobs in Manchester

enhance insight delivery * Collaborate with analysts and technical teams to improve data pipelines * Ensure data is structured and prepared effectively for reporting use cases * Deliver clear, actionable insights to support business performance Experience Required * Strong experience in Power BI, SQL and Databricks * End-to-end BI experience (data ...

stack Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar Solid data modelling capability for analytics and reporting use cases Hands-on experience with infrastructure as code, particularly Terraform Comfortable working in scaling environments with evolving data maturity Able to communicate clearly with ...

programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders in a highly skilled ...

open-source software where appropriate. 3 Month Plan: Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases. Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment. Contribute to privacy analysis ...

open-source software where appropriate. 3 Month Plan: Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases. Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment. Contribute to privacy analysis ...

Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models … bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research ...