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, SPSS

ML & modelling: scikit-learn, PyTorch, TensorFlow, XGBoost

Data platforms: Databricks, Snowflake, PostgreSQL, Spark

Tooling: Git, dbt, Airflow, Docker

Practices: Model validation, experimentation frameworks, stakeholder-ready communication

What you'll be doing:

Leading data-driven projects end to end — hypothesis development, data collection, model creation, and delivery

Surfacing insights and presenting findings to senior client stakeholders

Coaching and developing junior team members

Travelling roughly 50% of the time, split between client site and remote — individual needs considered

Working directly in client teams to deliver to a high standard

What we're looking for:

A degree in Maths, Statistics, Physics, Computer Science, Data Science, or Engineering — Masters or PhD common but not required

3–8+ years working with real, messy data and shipping models that get used

Experience in consulting, top-tier banking, or a specialist financial institution

You can explain what your model does and why it matters to someone who didn't build it

Fluent English; additional European languages a plus

Data Scientist | €50-120k DOE (hiring at most levels)| Hybrid — Berlin (2–3 days onsite)