Senior Data Scientist

McKinsey & Company; Düsseldorf; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A leading global consulting firm based in Düsseldorf seeks a Senior Data Scientist to lead the design and development of risk solutions using GenAI and ML technologies. The ideal candidate will have strong expertise in Python and SQL, along with hands-on experience in data engineering and traditional ML methods. This position offers an opportunity to make a significant impact on risk management processes and contribute to innovative data solutions.

Leistungen

Comprehensive benefits package

Continuous learning opportunities

Diverse global community

Qualifikationen

• 5-10 years of experience working in data roles in a professional environment.
• Deep expertise in Python (pandas, NumPy) and strong SQL.
• Practical GenAI experience in building RAG systems and vector databases.

Aufgaben

• Lead design, delivery, and governance of GenAI- and ML-powered risk solutions.
• Develop models and services hands-on in Python.
• Produce using MLOps best practices and embed robust risk & model governance.

Kenntnisse

Python

SQL

Data engineering

Machine Learning

GitHub

DevOps

Ausbildung

Bachelor’s degree in Computer Science or equivalent

Tools

dbt

Snowflake

Docker

Kubernetes

Jobbeschreibung

Overview

You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.

In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference.

When you join us, you will have :

• Continuous learning : Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters : From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community : With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• Exceptional benefits : On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

As a Senior Data Scientist, you will lead the design, delivery, and governance of GenAI- and ML-powered risk solutions that mitigate risks, sharpen controls, and make the risk function markedly more efficient.

You will deliver GenAI use cases in risk from concept to production, build retrieval-augmented generation (RAG) pipelines and evaluators (prompt design, grounding data curation, guardrails, red-teaming, offline / online evals), ensuring factuality, privacy, and cost / performance balance.

You will develop and ship models and services hands-on in Python (data prep, feature engineering, training / inference, APIs); write high-quality, tested code and drive code reviews in GitHub.

You will query and transform data with SQL; partner closely with data engineering to model lineage and build reliable pipelines using dbt on Snowflake (or similar modern data stack), and apply traditional ML where appropriate (classification, anomaly detection, NLP, forecasting) and integrate with GenAI approaches; choose the simplest method that meets risk and performance requirements.

You will produce using MLOps / LLMOps best practices : CI / CD, containers, orchestration, feature / embedding stores, vector search, monitoring (data drift, model decay, hallucination / factuality), and embed robust risk & model governance : documentation, explainability, validation / testing standards

Your work will materially improve how risk is identified, assessed, and mitigated—shortening investigation cycles, reducing false positives, automating manual controls, and strengthening regulatory compliance while enabling the business to move faster with confidence.

You will be based in Europe as part of our Risk Technology & AI team. his team partners with risk and business leaders to modernize controls, streamline operations, and unlock value from data and AI across the enterprise.

Qualifications

• Bachelor’s degree or equivalent work experience required (e.g. Computer Science)
• 5-10 years of experience working in data roles (i.e., data engineer / scientist / software developer) in a professional environment
• Deep expertise in Python (pandas / polars, NumPy, scikit-learn a plus) and strong SQL; hands-on experience with dbt and Snowflake preferred
• Fluency with GitHub and DevOps / infra concepts (CI / CD, Docker / Kubernetes, secrets management, observability)
• Practical GenAI experience : building RAG systems, embeddings, evaluation harnesses, guardrails / content filters; familiarity with vector databases and prompt- / system-design patterns
• Solid grounding in traditional ML and statistical methods; ability to decide when classical approaches beat LLMs
• Understanding of model governance and risk management standards; experience building auditable, production-grade systems in regulated or risk-sensitive environments
• Strong product thinking and stakeholder management; proven track record shipping measurable value in production