Senior Data Scientist (m/f/d)
Infinigate Holding AG · Germany
Computer and Network Security · 1,001-5,000 employees
About the role
Lead the design, development, and deployment of data science, machine learning, and Generative AI solutions to address business needs. Collaborate with cross-functional teams to translate complex problems into practical analytical and AI-driven outcomes.
What they look for
Requirements
Requires strong proficiency in Python, SQL, and machine learning frameworks, along with practical experience in Generative AI and LLM-based solutions. Candidates must have a proven track record of delivering production-ready data science solutions and applying MLOps best practices.
Benefits
Full description
At Infinigate, everything has revolved around cybersecurity, networking, and cloud security for almost 30 years – and around people who are passionate about technology, quality, and collaboration. Driven by our mission “Creating a secure digital future together,” we deliver outstanding services as a true value-added distributor – with dedication, energy, enthusiasm, and strong technical expertise. These services form the foundation of our success and our consistently high annual growth. Our values Own it! Aim high! Be open! shape our everyday work: we take responsibility, embrace ambitious challenges, and continually strive for excellence while fostering openness and team spirit.
Senior Data Scientist (m/f/d)Location: Munich, Hamburg or Hannover
- Strong Python and SQL skills, with experience using libraries such as pandas, NumPy, scikit-learn and relevant statistical or machine learning packages
- Hands-on experience with machine learning frameworks and approaches, including supervised learning, unsupervised learning, feature engineering, model selection and model validation
- Practical experience building Generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, RAG, grounding, reranking and evaluation
- Experience with NLP techniques such as text classification, entity extraction, semantic similarity, summarisation and information retrieval
- Experience using Databricks, Spark and lakehouse concepts for large-scale data preparation, experimentation and model development
- Familiarity with Microsoft Fabric, Azure AI services, Azure Machine Learning or comparable cloud-based AI and data science platforms
- Experience with MLOps practices including Git, automated testing, CI/CD, model registry, deployment, monitoring and experiment tracking
- Ability to use AI-assisted development tools responsibly to improve productivity, code quality and documentation
- Proven track record delivering data science or AI solutions into production or near-production environments for BI, analytics, automation or decision support use cases
Personal requirements Infinigate’s values underpin a strong collaborative working culture and successful inclusive working environment. • Own it! Outstanding verbal and written communication skills with the ability translate concepts to multiple stakeholders
- Aim high! A self-starter with excellent multitasking abilities
- Be open! A team player, embracing business concepts and flexible to change
- Lead the design, development and deployment of data science, machine learning and Generative AI solutions that address priority business use cases
- Develop predictive, classification, forecasting, optimisation and anomaly detection models using robust statistical and machine learning methods
- Design and implement Generative AI solutions including Large Language Model applications, Retrieval-Augmented Generation pipelines, semantic search, summarisation, classification, question answering and content generation
- Define model evaluation approaches for accuracy, relevance, reliability, bias, safety, hallucination risk, cost and performance
- Collaborate with data engineers, analytics engineers, product owners and business stakeholders to translate ambiguous problems into practical analytical and AI solutions
- Apply MLOps and software engineering best practices including version control, testing, CI/CD, monitoring, documentation and reusable components
- An open and collaborative work environment with flat hierarchies, short decision-making processes and transparent communication. We foster a culture built on trust, mutual support and strong teamwork.
- A structured onboarding programme with an individual training plan and dedicated support from experienced colleagues, ensuring a smooth start. Beyond onboarding, we actively invest in your professional and personal development through continuous learning opportunities within our technology landscape.
- Flexible working arrangements, including flexible working hours and hybrid working options. Our modern offices also offer a variety of location-specific amenities, such as ergonomic workstations, massage chairs, pool tables and other office highlights.
- An innovative and future-oriented working environment within a growing international group, combining the stability of an established organisation with the opportunity to contribute your own ideas and make a lasting impact.
- A comprehensive benefits package, including EGYM Wellpass, JobRad, public transport support (JobTicket), Corporate Benefits, capital-forming benefits, and an enhanced employer contribution to your occupational pension scheme. In addition, you will enjoy 30 days of annual leave as well as additional paid leave for special occasions.