<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong><u>Senior / Lead Data Scientist – Applied Statistics &amp; Machine Learning – €105,000 – Hybrid – Frankfurt</u></strong></p><p><br/></p><p>Most Data Scientists get excited by <strong>building models</strong>.</p><p><br/></p><p>The best ones get excited by <strong>understanding whether the data deserves to be modelled in the first place</strong>.</p><p><br/></p><p>If you’re naturally sceptical, question surprisingly good results, and care as much about <strong>statistical rigour</strong> as machine learning, this could be exactly the challenge you’re looking for.</p><p><br/></p><p>We’re supporting a growing <strong>AI &amp; Data Science company</strong> in Frankfurt that partners with customers across <strong>healthcare, insurance, finance, energy and manufacturing</strong> to solve complex real-world problems. Every project is different, giving you the opportunity to tackle genuinely interesting technical challenges rather than building the same product repeatedly.</p><p><br/></p><p>You’ll work directly with customers, taking projects from <strong>problem definition through to deployment</strong> and presenting your findings to senior stakeholders. It’s a role with <strong>genuine ownership</strong>, where technical quality matters far more than chasing the latest AI trend.</p><p><br/></p><p><strong>Why this opportunity stands out</strong></p><ul><li><strong>Work across multiple industries</strong> on varied, technically challenging projects</li><li><strong>Own projects from discovery through to production deployment</strong></li><li>High level of <strong>customer interaction and technical autonomy</strong></li><li>Join a consultancy that values <strong>engineering excellence over hype</strong></li><li>Opportunity to grow into a <strong>Lead Data Scientist</strong> position</li></ul><p><br/></p><p><strong>What you’ll be doing</strong></p><ul><li>Deliver end-to-end <strong>Data Science and Machine Learning projects</strong> for customers</li><li>Analyse <strong>messy, incomplete and real-world datasets</strong></li><li>Apply <strong>statistical analysis, predictive modelling and machine learning</strong> techniques</li><li>Work with <strong>tabular, time series, text and image data</strong></li><li>Present technical findings to both technical and non-technical stakeholders</li></ul><p><br/></p><p><strong>What they’re looking for</strong></p><ul><li>Commercial <strong>Data Science and Machine Learning</strong> experience</li><li>Strong understanding of <strong>statistics, uncertainty, hypothesis testing and model evaluation</strong></li><li>Excellent <strong>Python</strong> skills and experience with modern ML frameworks</li><li>Comfortable working directly with <strong>customers and stakeholders</strong></li><li>Fluent English</li></ul><p><br/></p><p>Most importantly, we’re looking for someone who instinctively <strong>questions the data before trusting the model</strong>. Someone who sees an unexpectedly high accuracy score as <strong>the beginning of the investigation rather than the end of it</strong>.</p><p><br/></p><p><strong>Interviews starting soon - apply now to avoid missing out!</strong></p><p><br/></p><p><em>Keywords: Data Scientist, Senior Data Scientist, Lead Data Scientist, LLMs, Machine Learning, Applied Statistics, Predictive Analytics, Statistical Modelling, Python, scikit-learn, PyTorch, TensorFlow, AWS, Time Series, AI, Consulting, Healthcare, Finance, Insurance, Manufacturing</em></p> </div>