Salary
≈ $80k – $144k per year (Estimated)
Location
Hybrid (Munich, Germany)
Seniority
Senior · 2+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Mar 27, 2026. OMMAX scores B on the Alion truth index.
Overview
Company
Impact
Profile match
OMMAX is a Munich-headquartered consulting firm that works on digital and AI-driven value creation, covering strategy, data and AI engineering, transaction advisory and implementation for corporates, founders and private equity investors. Founded in 2011, it reports more than 400 employees and runs offices in Paris, London, Amsterdam, Milan, Berlin and Hamburg, serving sectors from industrials, retail and healthcare to financial services, software and the public sector. Its openings are mostly in Munich and cover AI and data engineering, backend and platform engineering, Salesforce and Azure DevOps architecture, AI program management and strategy internships.
Backed by Founders Future
What we look for:
- You own data science and applied machine learning workstreams from problem discovery and experimentation through production implementation and measurable business impact.
- You work directly with client stakeholders and domain experts to decompose ambiguous business challenges, define success measures, and identify the simplest effective analytical approach.
- You build, validate, and deploy predictive, optimization, classification, and advanced analytics solutions using robust statistical and machine learning methods.
- You design evaluation frameworks that connect model performance with operational usability, risk, cost, and business outcomes.
- You collaborate with data engineers, AI engineers, software teams, and users to embed models into real workflows and iterate based on production feedback.
- You communicate assumptions, limitations, trade-offs, and recommendations clearly to technical and non-technical stakeholders.
- You turn project learnings into reusable analytical assets, methodologies, and delivery standards and support the development of less experienced colleagues.
What we require:
- You hold a Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Mathematics, or Engineering.
- You have 2-6 years of experience in data science, machine learning, or advanced analytics, including exposure to Generative AI.
- You have strong programming skills in Python and are familiar with ML and LLM frameworks such as Scikit-learn, LangChain, or Hugging Face.
- You have a solid understanding of machine learning techniques and Generative AI use cases.
- You are able to work in client-facing environments and communicate complex topics clearly.
- You are fluent in English; additional local language skills are a plus.
What you can expect:
- Your impact is crucial: You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation.
- Your hard work pays off! You benefit from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits.
- Your development - our concern: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career at OMMAX - with us you will become a digital leader!
- Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan and Berlin.
- Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries.
- Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships as well as mobility and meal allowances and a wide range of other company benefits.
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