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

Zohorecruit; München; On-site; EUR 85,000 - 120,000; Full time

Job summary

CEPRES is seeking a Data Scientist, Associate / Senior Associate to drive next-generation data, analytics, and AI capabilities across private markets. You will build scalable models and automation solutions that improve data quality, accessibility, and insights for client-facing products and internal operations.

You will work at the intersection of finance, data science, and technology, collaborating with Engineering, Product, and Operations to enhance data processing and platform capabilities

Qualifications

• Master’s degree in a quantitative field.
• Associate: 3–6 years of relevant experience; Senior Associate: 6+ years.
• Experience with large, complex datasets in production environments.

Responsibilities

• 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.
• Develop intelligent workflows leveraging modern AI technologies, including LLMs and automation frameworks.
• Contribute to CEPRES’s 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.
• 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.
• Lead analytical work streams and innovation initiatives.
• Mentor junior team members and contribute to capability development.

Skills

Python

SQL

Statistics

Machine Learning

Data Analysis

Data Pipelines

Automation

LLMs

AI Technologies

Cloud Platforms

Education

Master’s degree in Data Science/CS/Math/Statistics/Engineering/Quantitative Finance

Job description

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

CEPRES isthe leading and fastest growing digital investment platform for private capitalmarkets, an institutional asset class which became very relevant in globalinvestment portfolios of sovereign wealth funds, insurances, pension plans andothers. This global institutional client base benefits from our award-winninginvestment solutions for their investment activities while we connect via theCEPRES platform thousands of professionals to the largest private investmentnetwork worldwide.

CEPRESGmbH / Corp is headquartered in Munich and New York, with additional officesin Denver, Heidelberg, and several locations in the Middle East. Our team isincredibly diverse with over 20 nationalities globally. We value smart andinnovative people who also work effectively in a team environment and who areglobal players.

About The role

We are seeking a DataScientist Associate / Senior Associate to help drive CEPRES' nextgeneration of data, analytics, and AI capabilities.

This role is ideal for candidateswho enjoy solving complex data challenges and developing practical solutionsthat improve the quality, scalability, and accessibility of private marketsdata. You will work at the intersection of finance, data science, andtechnology, building analytical models, intelligent automation solutions, andinnovative tools that support both client-facing products and internaloperations.

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.
• 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.
• 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.
• 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.
  
• CareerPath in Private Equity Step into one of the mostin-demand and exciting industries in finance today. With us, you'll experienceunparalleled opportunities for career growth and promotions, receive regularfeedback, and benefit from mentorship provided by an international team ofpassionate experts. Be part of a unique growth story and take on an exciting,challenging role in a dynamic global environment.
  
• CultureThat Drives Success We are powered by core valuesthat foster an entrepreneurial spirit, drive results, and empower ownership. Atour company, collaboration and mutual support are at the heart of everything wedo. Transparency in company goals ensures you’re always part of the biggerpicture.
  
• Commitmentto Our People We care deeply about our team, offeringoutstanding benefits and opportunities to thrive in a diverse, inclusive, andinternational workplace
  
• Compensationofattractive package that reflects your skills, contributions, andgrowth potential.
  

At CEPRES, we're committed to creating aninclusive environment for all. We celebrate diversity and encourage applicantsfrom all backgrounds, experiences, and perspectives to apply.