successfully complete this, and you’ll move on to a degree apprenticeship, deepening your skills while growing your career. Role SQL and advanced data joins (yes, the fun kind) Predictivemodelling & forecasting (basically, time travel with stats) Data visualisation & storytelling (making numbers talk) Analytics lifecycles & data democratisation Statistical programming languages Building data products people actually use Training You … ll master: SQL, Python and other stats superpowers Visualisation that makes people go “ohhh, now I get it” Forecasting and modelling AI literacy and applied analytics Turning complexity into clarity Apprenticeship Standard Data analyst (level 4) Training Provider BPP PROFESSIONAL EDUCATION LIMITED Working Week Monday - Friday, shifts to be confirmed. Expected Duration 5 Years Positions Available 4 Closing Date More ❯
Leeds, West Yorkshire, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
of a close-knit group driving real change. As their Data Scientist, you'll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine … adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯
Sheffield, South Yorkshire, England, United Kingdom
Tenth Revolution Group
of a close-knit group driving real change. As their Data Scientist, you'll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine … adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯