Join our global team of experts At Diconium, we do digital business transformation across various industries. As a team member, you will work on projects that generate value from software, data, and AI by delivering strategies and solutions that challenge conventional industry practices and drive technological progress. Together with over 2,300 fellow experts, you enable Fortune 500 firms, global market leaders, and SMEs to maximize the impact of their digital initiatives and achieve digital excellence. In everything we do, we prioritize people and genuine human connections, ensuring a supportive and inclusive work environment. And we give you maximum flexibility thanks to our hybrid workplace. WHAT YOU EXPECT Develop and implement machine learning algorithms and models to address business challenges of our clients. Extract valuable information from unstructured and large data sources. Create and lead the development of AI/ML-driven solutions for predictive analytics, recommendation systems, and process automation. Collaborate with cross-functional teams to understand business objectives from our clients and translate them into ML/AI solutions. Evaluate model performance and iteratively improve accuracy and efficiency. Communicate findings and insights effectively to both technical and non-technical stakeholders. Take on functional leadership responsibilities and support other data scientists in their professional development. WHAT YOU BRING ALONG Must-have skills: Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a related field. 5 or more years of relevant work experience in data science or machine learning engineering. Proven experience in machine learning and AI, with a focus on practical applications. Proficiency in programming languages such as Python, along with familiarity with relevant libraries (e.g., TensorFlow, scikit-learn, NLTK). Strong understanding of statistical methods and concepts. Good command of SQL. Ability to work independently and collaboratively in a fast-paced environment. Excellent communication skills with the ability to present complex technical concepts clearly. Ex perience as a project lead or functional lead. Experience with stakeholder comm unication and management, ideally from a role in the IT services industry or a consultanc y. Fluency in English. Nice to have: Experience with big data technologies and cloud platforms. Experience with data processing in Spark and Databricks, or similar tec hnolo gies. Experience with data visualization, dashboarding tools or simple frontends for visualization (Streamlit, Dash, Tableau, PowerBI). Knowledge of deep learning frameworks (e.g., PyTorch, Keras). Previous experience deploying ML/AI models into production environments. Experience with g enerative AI and agentic systems Fluenc y in German. WHAT WE HAVE TO OFFER Discover new skills and improve your strengths, adapt your working day to your personal lifestyle, celebrate community, sustainability and diversity. And sweeten your working life with awesome perks and benefits! P rofessional & Personal Growth: Develop yourself both professionally and personally through training programs, free language courses, competence centers and an active tech community. Flexible Work-Life Balance: Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals. Embrace Diversity & Sustainability: Engage in our Sustainability Hub, diverse communities, Diversity Taskforce and after-work activities. Comprehensive Benefits: Enjoy public transport tickets, job bikes, health offers, supplementary insurances, a pension plan and various discounts. WHAT WE VALUE At Diconium, we value and recognize the unique perspectives and experiences of each individual. With this in mind, we welcome and cherish every single application equally. At the same time, we stand up against any type of discrimination and harassment based on gender, age, skin color, religion, sexual orientation, origin, disability, gender identity and other protected characteristics. If you have any questions, feel free to reach out. Your contact person is Maren, maren.hennig@diconium.com