Data Scientist
Ulm, Germany | Hybrid / On-Site
About the Role:
As a Data Scientist at ACC Group AG, you will work at the intersection of artificial intelligence, finance, and data infrastructure. Your focus will be on building and maintaining data pipelines that support both the training of our proprietary AI models and the real-time inference systems powering our client applications.
You will curate and optimize training datasets, ensure data quality, and design efficient processes for model development, deployment, and monitoring. Working closely with our AI research, backend, and product engineering teams, you’ll play a key role in shaping how Financial AGI learns from structured and unstructured data to make informed investment decisions at scale.
Key Responsibilities:
- Design, implement, and maintain robust data pipelines for training and production environments
- Curate, preprocess, and validate large-scale financial, behavioral, and market datasets for AI model development
- Build data infrastructure that supports continuous learning, retraining, and real-time inference
- Collaborate with AI engineers to design feature pipelines and model input structures for supervised and unsupervised learning
- Monitor data integrity, consistency, and performance across ingestion and storage layers
- Develop data governance frameworks ensuring traceability, auditability, and compliance with FINMA, GDPR, and FADP standards
- Optimize ETL and ELT processes for efficiency and scalability in multi-cloud environments
- Create analytical dashboards and metrics for tracking data quality, model performance, and business KPIs
- Collaborate with backend engineers to deploy data services that integrate seamlessly with production systems
- Identify opportunities for automation and optimization throughout the data lifecycle
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical field
- 3+ years of professional experience as a Data Scientist, Data Engineer, or ML Engineer, ideally in fintech or technology-driven environments
- Strong programming skills in Python (Pandas, NumPy, PySpark) and SQL
- Experience with data pipeline frameworks such as Airflow, Prefect, or Luigi
- Proficiency with cloud-based data solutions (AWS, Azure, or GCP) and distributed processing tools (Spark, Databricks)
- Familiarity with MLOps and data versioning tools (MLflow, DVC, or similar)
- Understanding of model training workflows, feature engineering, and data-labeling strategies
- Experience integrating real-time market or transactional data feeds
- Knowledge of data security, encryption, and identity management practices in regulated environments
- Fluent in English; German is an advantage
- Alternatively, outstanding data-driven projects or open-source contributions may be considered instead of formal education
Formal education is not a strict requirement — equivalent professional experience or a strong portfolio of relevant work and projects will also be considered.
Preferred Qualifications
- Analytical mindset with the ability to turn complex datasets into clear insights and actionable outcomes
- Strong sense of responsibility for data quality, accuracy, and ethical handling
- Passion for building scalable systems that power intelligent financial decision-making
- Ability to collaborate effectively with AI researchers, engineers, and business stakeholders
- Proactive problem solver with attention to detail and process efficiency
Why Join ACC Group
At ACC Group, we pursue ambitious goals — not incremental improvements. We are building the foundation for the next era of finance, and that requires people who thrive on innovation, precision, and curiosity.
Here, you’ll work alongside world-class engineers, researchers, and financial experts who share a common purpose: to create technology that redefines how the world understands and manages wealth. Our culture values initiative and independent thinking — every idea matters, every contribution shapes the outcome.
We offer an environment that combines the agility of a startup with the standards of a regulated financial institution. You’ll find the freedom to experiment, the responsibility to own your work, and the support of a team that values excellence over hierarchy.
Our people are our greatest investment. That’s why we provide competitive compensation, long-term incentives, and the opportunity to grow with a company that’s leading one of the most profound transformations in modern finance.
Join us — and help build the intelligence layer that will power the future of global markets.
About ACC Group
ACC Group AG is an AI-native fintech and asset manager shaping the future of asset and wealth management. We develop proprietary AI systems that transform data into actionable insights, enabling adaptive, data-driven, and transparent investment decisions. Our goal is to build financial ecosystems that continuously learn, proactively manage risk, and create sustainable long-term value.
Our research focuses on advancing Financial AGI (artificial general intelligence) designed for the complexity of global markets. These systems understand context, reason about uncertainty, and make decisions across multiple asset classes with the depth and precision of human expertise.
By combining deep learning, quantitative research, and modern infrastructure, we aim to make investing more precise, efficient, and accessible.
Our people are at the heart of everything we do. We believe that progress stems from curiosity, collaboration, and the courage to explore what's next. Together, we cultivate a culture that values excellence, rewards initiative, and brings together diverse perspectives toward one shared vision: advancing the way the world manages wealth.
Compensation
Competitive compensation package including base salary and performance-based bonus.We offer a comprehensive set of employee benefits designed to support your wellbeing and professional growth — including health coverage, continuous learning programs, flexible working arrangements, and access to modern tools and technology.