2 of 2 Permanent Data Scientist Jobs in Mansfield

Engineering Data Scientist, Mechanical Engineering Analyst, Data Analyst, Data Scientist, Mechanical Engineering, Structural Condition Monitoring, Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity - Data Scientist Are you an engineer with a passion for data-driven problem solving and structural analysis? I'm working with an innovative company … and help develop cutting-edge analytics that improve the safety and efficiency of complex engineering systems. This is a fantastic opportunity to work at the intersection of mechanical engineering, data science, and software development – transforming complex performance data into scalable, real-world solutions that make a genuine impact. As an Engineering Analyst/Data Scientist you … implementing analytical models to monitor structural health, performance, and loads Analysing large datasets from sensors, simulations, and operational logs to uncover valuable engineering insights Translating core engineering principles into data-driven algorithms and analytical tools Collaborating with product, analytics, and software teams to ensure seamless platform integration Training and validating models using both experimental and real-world operational data More ❯

Data Scientist/AI Engineer Nottingham-based (2 days a week) £60K We are working with a AI start up who transform leading research into AI technologies, solving meaningful problems for clients in the retail and healthcare sectors. What We Do Retail: Promotions, pricing, and forecasting - building scalable AI systems to automate and optimise decision-making. Healthcare: Research … systems for retail clients and are now focusing on making these solutions repeatable and deployable across industries. Essential Skills Strong programming skills in Python Solid understanding of SQL and data manipulation Background in Mathematics, Statistics, or Computer Science (MSc or PhD preferred) Experience building or deploying machine learning models Ability to work in a fast-paced, collaborative startup environment More ❯