Data science and analytics software for enterprise digitalization
HMS builds end-to-end analytics and data science solutions for enterprise clients, combining forecasting, machine learning, and software platforms. The tech stack spans Python, R, Java, C#, and enterprise tools (SAS, Azure, AWS, Spark, Kafka), with a heavy engineering bias (8 of 15 hires in core functions) — typical of a services firm moving toward productized software. Active projects around process automation, CRM development, and AI-driven digitalization reflect a client base struggling to modernize legacy systems.
HMS is a 35-year-old German analytics and software services firm headquartered in Heidelberg, operating as a public company. The firm combines data science, software engineering, and CRO (clinical research operations) services into integrated solutions, spanning proof-of-concept work through enterprise platform implementation. Core offerings include forecasting models, business intelligence, machine learning systems, and clinical trial analytics. The company operates across Germany and Peru, with a 51–200-person team structured around engineering and data analytics delivery.
Python, R, Java, C#, SQL, and cloud platforms (Azure, AWS). Enterprise tools include SAS, Oracle, SQL Server; infrastructure runs on Kubernetes, Docker, Terraform, and observability via Prometheus and OpenTelemetry.
Heidelberg, Baden-Württemberg, Germany. The company also has hiring activity in Peru, indicating geographic expansion.
Other companies in the same industry, closest in size