Location: Munich, Germany (Hybrid) CEPRES is the leading and fastest growing digital investment platform for private capital markets, an institutional asset class which became very relevant in global investment portfolios of sovereign wealth funds, insurances, pension plans and others. This global institutional client base benefits from our award-winning investment solutions for their investment activities while we connect via the CEPRES platform thousands of professionals to the largest private investment network worldwide. CEPRES GmbH / Corp is headquartered in Munich and New York, with additional offices in Denver, Heidelberg, and several locations in the Middle East. Our team is incredibly diverse with over 20 nationalities globally. We value smart and innovative people who also work effectively in a team environment and who are global players. About The role We are seeking a Data Scientist Associate / Senior Associate to help drive CEPRES' next generation of data, analytics, and AI capabilities. This role is ideal for candidates who enjoy solving complex data challenges and developing practical solutions that improve the quality, scalability, and accessibility of private markets data. You will work at the intersection of finance, data science, and technology, building analytical models, intelligent automation solutions, and innovative tools that support both client-facing products and internal operations. Key Responsibilities Data Science & Advanced Analytics Develop scalable data science and analytics solutions for large private markets datasets. Design methodologies to extract, validate, enrich, and standardize investment data from structured and unstructured sources. Apply statistical, machine learning, and AI-driven techniques to improve data quality and operational efficiency. Support the development of analytical frameworks, data models, and business insights. AI & Innovation Develop intelligent workflows leveraging modern AI technologies, including LLMs and automation frameworks. Contribute to CEPRES’ AI and data strategy by identifying practical use cases and opportunities for innovation. Evaluate emerging technologies and support their adoption across the organization. Partner with business stakeholders to translate complex challenges into scalable solutions. Data Engineering & Automation Build and maintain data pipelines, automation frameworks, and quality control mechanisms. Query and analyze large datasets using SQL and Python. Collaborate closely with Engineering, Product, and Operations teams to improve data processing and platform capabilities. Document methodologies, processes, and best practices to support scalable implementation. Leadership & Collaboration (Senior Associate) Lead analytical work streams and innovation initiatives. Mentor junior team members and contribute to capability development. Drive continuous improvement across data science, automation, and analytical processes. Requirements Required Background & Experience Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Quantitative Finance, or a related field. Associate: 3–6 years of relevant experience. Senior Associate: 6+ years of relevant experience. Experience working with large and complex datasets in a production environment. Preferred Qualifications Experience in Data Science, Analytics, Quantitative Research, or similar roles. Exposure to financial services, investment management, alternative assets, or fin tech environments. Experience delivering business-focused analytical solutions in cross-functional teams. Skills & Qualifications Technical Skills Strong Python and SQL skills. Solid foundation in statistics, machine learning, and data analysis. Experience building data pipelines, automation solutions, and data quality frameworks. Familiarity with modern AI technologies, including LLM-based solutions and intelligent automation tools. Experience with cloud-based data environments is an advantage. Personal Attributes Strong analytical and problem-solving capabilities. Excellent communication skills across technical and non-technical audiences. Strong ownership mentality and attention to detail. Curious, innovative, and passionate about applying technology to real-world business challenges. Collaborative mindset with leadership potential. Benefits Career Path in Private Equity Step into one of the most in-demand and exciting industries in finance today. With us, you'll experience unparalleled opportunities for career growth and promotions, receive regular feedback, and benefit from mentorship provided by an international team of passionate experts. Be part of a unique growth story and take on an exciting, challenging role in a dynamic global environment. Culture That Drives Success We are powered by core values that foster an entrepreneurial spirit, drive results, and empower ownership. At our company, collaboration and mutual support are at the heart of everything we do. Transparency in company goals ensures you’re always part of the bigger picture. Commitment to Our People We care deeply about our team, offering outstanding benefits and opportunities to thrive in a diverse, inclusive, and international workplace Compensation of attractive package that reflects your skills, contributions, and growth potential. At CEPRES, we're committed to creating an inclusive environment for all. We celebrate diversity and encourage applicants from all backgrounds, experiences, and perspectives to apply.