Data Scientist

Data Scientist | €50-120k DOE (hiring at most levels)| Hybrid — Berlin (2–3 days onsite)We're partnered with one of the world's most recognised management consultancies — a firm consistently ranked in the top 5 globally, with deep roots in financial services and a rapidly growing Data & Analytics practice operating across Europe. If you know the consulting landscape, you'll know who we're talking about.They're not hiring generalists. This is a specialist quantitative team, embedded within a global firm that sits inside one of the largest professional services groups in the world — with all the resource, client access, and brand weight that comes with it. Projects span financial services, climate & sustainability, energy, retail, and transportation.What you'll typically be working with:Languages: Python, R, SQL, SAS, SPSSML & modelling: scikit-learn, PyTorch, TensorFlow, XGBoostData platforms: Databricks, Snowflake, PostgreSQL, SparkTooling: Git, dbt, Airflow, DockerPractices: Model validation, experimentation frameworks, stakeholder-ready communicationWhat you'll be doing:Leading data-driven projects end to end — hypothesis development, data collection, model creation, and deliverySurfacing insights and presenting findings to senior client stakeholdersCoaching and developing junior team membersTravelling roughly 50% of the time, split between client site and remote — individual needs consideredWorking directly in client teams to deliver to a high standardWhat we're looking for:A degree in Maths, Statistics, Physics, Computer Science, Data Science, or Engineering — Masters or PhD common but not required3–8+ years working with real, messy data and shipping models that get usedExperience in consulting, top-tier banking, or a specialist financial institutionYou can explain what your model does and why it matters to someone who didn't build itFluent English; additional European languages a plusData Scientist | €50-120k DOE (hiring at most levels)| Hybrid — Berlin (2–3 days onsite)