Manager Data Science (m/f/d)

Help businesses make informed decisions and drive growth by transforming raw data into actionable insights. Ready to boost your personal development in data science, analytics, and AI? Become a pioneer of the digital transformation and support us as a Manager in Data Science-focused consulting.

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 achieve this by optimizing every lever of their 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 of all kinds, we are regarded as the world’s leading pricing and growth specialist.

• You will support on extracting, loading and processing (cleaning and transforming) complex data across different industries
• You will use your technical expertise to develop, test and deploy ML models based
• You will develop models and analysis that adress the business question in hand and your results will align with real-world business outcomes
• You will clearly communicate the scope and take ownership of your workstream and communicate back technical results to business teams and stakeholders
• You will own and deliver the presentation of your analysis to your data and business counterparts at the client side and also to senior business leaders on the client side
• You do bring a strong analytical mindset to uncover actionable insights

• A bachelor's or master's degree in business, economics, computer science, or engineering
• Fluency in both German and English, with confident communication skills in both languages
• At least 4 - 6 years of experience in the field of data science
• A sharp analytical mindset, structured approach to problem-solving, and keen attention to detail
• Effective communication skills, essential for collaboration within teams and across departments
• A proactive and reliable attitude, combined with enthusiasm for teamwork
• Hands-on experience with modeling using Python or similar tools
• Strong understanding of AI and machine learning methods, especially tree-based methods and Bayesian methods
• Familiarity with core data services (eg. Storage, compute, automation, machine learning, dashboarding) of one or more popular cloud vendors
• Knowledge of relational, SQL and NoSQL databases as well as the ETL process
• Knowledge & experience in one or more of the following fields would be a strong plus:
• ovisualization tools such as PowerBI and Tableau
• owidely used cloud tools such as AWS/GCP/Azure
• oleveraging Generative AI solutions, particularly for information retrieval, trend detection, and data summarization
• building front-end interfaces / steering cockpits using tools such as streamlit