Senior Data Scientist (m/f/d) – AI / GenAI

Overview

Senior Data Scientist (m/f/d) – AI / GenAI

In Germany - Berlin | Bonn | Cologne | Frankfurt/Main | Hamburg | Munich

We are seeking an experienced Senior Data Scientist to design and build scalable AI and GenAI products to transform our clients’ business models and enable their growth. In this role, you’ll combine deep technical expertise with strategic vision to build AI-powered solutions that are scalable, impactful, and business-driven.

Simon-Kucher is at the forefront of innovation in our space, inventing business models, algorithms, solutions, and methodologies for unlocking better growth of our clients. Simon-Kucher Engine’s digital end-to-end solutions deliver sustained top-line impact for our clients. Are you interested in working in a team of digital evangelists with a can-do attitude? Want to experience the dynamics of agile processes in open-minded teams? How about getting creative in a startup atmosphere with a steep development curve and flat hierarchies? And most importantly, do you want to make a difference? Then you’ve come to the right place.

What makes us special

• Advance your career with exciting professional opportunities in our thriving company with an entrepreneurial and startup spirit
• Enhance your technical expertise while working on AI and GenAI products that drive business growth, create positive impact, and truly matter to our clients
• Voice your unique ideas in a corporate culture defined by openness and integrity
• Enjoy the opportunity to work from abroad (workation)
• Feel at home working with our helpful, enthusiastic colleagues who have great team spirit
• Broaden your perspective with our extensive training curriculum and learning programs (e.g. LinkedIn Learning)
• Speak your mind in our holistic feedback and development processes (e.g. 360-degree feedback)
• Satisfy your need for adventure with opportunities to live and work abroad in our international offices
• Enjoy benefits such as hybrid working, daycare allowance, corporate discounts, and wellbeing support (e.g. Headspace)
• Unwind in break areas with healthy snacks and beverages
• Participate in frequent employee events and company-wide gatherings

Responsibilities

• Design and deliver AI solutions by translating complex business challenges into practical ML and GenAI use cases, from rapid prototypes to production-ready systems
• Build and scale applications with robust APIs, low-latency performance, and reliable deployment in real-world environments
• Evaluate models holistically using advanced metrics (e.g., factuality, relevance, coherence) and implement human-in-the-loop guardrails for safety and reliability
• Champion responsible AI by embedding fairness, ethics, privacy, and governance into every stage of development
• Collaborate cross-functionally with product managers, engineers, and stakeholders to identify high-impact opportunities and balance innovation with business feasibility and ROI
• Bridge research and production by staying ahead of GenAI advances and adapting them into pragmatic, scalable solutions
• Lead and mentor junior data scientists, and communicate complex AI concepts to both technical and non-technical audiences
• Drive architecture decisions with a pragmatic, product-focused mindset

Qualifications

• You have 4+ years of experience as a Data Scientist and hold a degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics)
• Solid expertise in machine learning, including supervised, unsupervised, and reinforcement learning, with experience in model evaluation, interpretability, and deployment
• Hands-on with deep learning and GenAI, working with transformers, LLMs, diffusion models, and multimodal AI
• Knowledge of fine-tuning models, design prompts, RAG, LoRA, or PEFT, and awareness of their limitations (e.g., hallucinations, alignment challenges)
• Fluent in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) and comfortable with MLOps tools like MLflow, Weights & Biases, Vertex AI, or SageMaker
• Strong skills in data handling, preprocessing, feature engineering, and building robust pipelines; experience with large-scale data (SQL, Spark, distributed systems)
• Experience with software engineering best practices (CI/CD, testing, modular design)
• Additional expertise with vector databases and semantic search (Pinecone, Weaviate, FAISS), orchestration frameworks (LangChain, LlamaIndex), or cloud AI platforms (AWS) is a plus
• Interest in large-scale fine-tuning or multi-agent/autonomous AI workflows is a plus
• Curious, collaborative, and impact-driven; able to turn cutting-edge AI research into scalable, real-world solutions

Application note

Have we sparked your interest? Click the "Apply now" button to submit your application. For data protection reasons, we cannot accept applications via email. You may also watch our recruitment video to learn more about us and our culture.

About Simon-Kucher

Simon-Kucher is a global consultancy with more than 2,000 employees in 30+ countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. We optimize every lever of commercial strategy – product, price, innovation, marketing, and sales – based on deep insights into what customers want and value. With 40 years of experience in monetization topics, we are a leading pricing and growth specialist. simon-kucher.com

We believe in a culture that embraces diversity, equity, and inclusion, creating an environment where people feel valued and able to contribute meaningfully.

Your Personal Contact

Maria Weininger

recruitment.germany(at)simon-kucher.com

Please submit your application exclusively via the “Apply now” button.

Company details

Better growth starts here. With you.