Senior / Lead Data Scientist – Applied Statistics & Machine Learning – €100,000 – Hybrid – Munich

Findr; München; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Findr in Darmstadt is seeking a Senior Data Scientist to drive end-to-end Data Science and ML projects for customers across healthcare, finance and manufacturing. You will analyse real-world datasets, build models and present findings to senior stakeholders.

The role offers high technical autonomy, direct customer interaction and opportunities to grow into a Lead Data Scientist position, with a focus on statistical rigor and practical impact.

Qualifikationen

• Commercial Data Science and ML experience.
• Strong understanding of statistics, uncertainty, hypothesis testing and model evaluation.
• Excellent Python skills and experience with modern ML frameworks.
• Comfortable working directly with customers and stakeholders.

Aufgaben

• Deliver end-to-end Data Science and Machine Learning projects for customers.
• Analyse messy, incomplete and real-world datasets.
• Apply statistical analysis, predictive modelling and machine learning techniques.
• Work with tabular, time series, text and image data.
• Present technical findings to both technical and non-technical stakeholders.

Kenntnisse

Python programming

Statistics & hypothesis testing

Machine Learning

Stakeholder communication

Tools

scikit-learn

PyTorch

TensorFlow

Jobbeschreibung

Most Data Scientists get excited by building models.

The best ones get excited by understanding whether the data deserves to be modelled in the first place.

If you’re naturally sceptical, question surprisingly good results, and care as much about statistical rigour as machine learning, this could be exactly the challenge you’re looking for.

We’re supporting a growing AI & Data Science company in Darmstadt that partners with customers across healthcare, insurance, finance, energy and manufacturing 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.

You’ll work directly with customers, taking projects from problem definition through to deployment and presenting your findings to senior stakeholders. It’s a role with genuine ownership, where technical quality matters far more than chasing the latest AI trend.

Why this opportunity stands out

• Work across multiple industries on varied, technically challenging projects
• Own projects from discovery through to production deployment
• High level of customer interaction and technical autonomy
• Join a consultancy that values engineering excellence over hype
• Opportunity to grow into a Lead Data Scientist position

What you’ll be doing

• Deliver end-to-end Data Science and Machine Learning projects for customers
• Analyse messy, incomplete and real-world datasets
• Apply statistical analysis, predictive modelling and machine learning techniques
• Work with tabular, time series, text and image data
• Present technical findings to both technical and non-technical stakeholders

What they’re looking for

• Commercial Data Science and Machine Learning experience
• Strong understanding of statistics, uncertainty, hypothesis testing and model evaluation
• Excellent Python skills and experience with modern ML frameworks
• Comfortable working directly with customers and stakeholders

Most importantly, we’re looking for someone who instinctively questions the data before trusting the model. Someone who sees an unexpectedly high accuracy score as the beginning of the investigation rather than the end of it.

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