<p><strong>AI Tech Start Up - Junior Data Scientist - Remote Based</strong></p><p><strong>London </strong></p><p><strong>£30,000 - £50,000</strong></p><p><strong>Robret Half have partnered with an early stage high potential AI focused Tech Start-Up </strong>who aree looking for a <strong>Junior Data Scientist</strong> to join their growing team and help develop advanced <strong>machine learning models</strong> that predict and prevent equipment failures in large-scale industrial operations. This is an exciting opportunity to apply data science to <strong>real-world engineering challenges</strong>, using rich, high-frequency data from complex machinery.</p><p>Their AI-driven predictive maintenance platform is built on years of operational data and designed to help clients reduce downtime, improve efficiency, and make data-backed maintenance decisions. Delivered via a secure, cloud-based SaaS model, it leverages cutting-edge technologies to bring innovation to heavy industry.</p><p>You'd join the business at a very early stage which is uniquely positioned for rapid growth!</p><p><strong>What You'll Do</strong></p><ul><li>Build, validate, and monitor <strong>machine learning models</strong> for anomaly detection and failure prediction.</li><li>Analyze <strong>sensor data and operational logs</strong> to support predictive maintenance strategies.</li><li>Develop and maintain <strong>data pipelines</strong> using tools like Apache Airflow for efficient workflows.</li><li>Use <strong>MLflow</strong> for experiment tracking, model versioning, and deployment management.</li><li>Contribute to <strong>data cleaning, feature engineering, and model evaluation</strong> processes.</li><li>Collaborate with <strong>engineers and data teams</strong> to better understand equipment behavior and enhance model performance.</li></ul><p><strong>What We're Looking For</strong></p><ul><li>A <strong>Bachelor's degree</strong> in Computer Science, Mathematics, Electrical Engineering, or a related field.</li><li>Strong experience with <strong>Python</strong> and data science libraries (Pandas, Scikit-learn, etc.).</li><li>Solid understanding of <strong>machine learning concepts and algorithms</strong>.</li><li>Interest in working with <strong>real-world industrial or sensor data</strong>.</li><li>Exposure to <strong>Apache Airflow</strong> and/or <strong>MLflow</strong> (through coursework or experience) is a plus.</li><li>A proactive, analytical mindset with a willingness to learn and collaborate.</li></ul><p><strong>Why Join Us</strong></p><ul><li>Work on meaningful AI applications that have a tangible impact on real-world operations.</li><li>Gain exposure to <strong>end-to-end model development</strong>, from data ingestion to deployment.</li><li>Be part of a <strong>supportive, technically driven team</strong> where curiosity and innovation are encouraged.</li><li>Excellent opportunity for <strong>recent graduates or early-career professionals</strong> looking to grow in applied data science.</li></ul><p> </p><p>Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: roberthalf.com/gb/en/privacy-notice.</p><img src="https://counter.adcourier.com/amFtZXMud2lsbHNvbi41MDUwNC4xMDkyM0ByaGkuYXBsaXRyYWsuY29t.gif">