Data Scientist, Associate / Senior Associate (f/m/x)

• 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.