Specialist Data Analytics & AI (f/m/d)

Responsibilities:

• Data Analysis & AI Development: Analyze large datasets and introduce machine learning and AI models
• Application Design & Architecture: Design and implement applications that support AI and data analytics initiatives, ensuring they meet business needs and comply with technical standards.
• Task Estimation & Management: Estimate development tasks, align with other technical team members, track progress, and ensure timely completion.
• Collaboration: Work closely with cross-functional teams to understand business challenges in healthcare
• Reporting & Visualization: Create dashboards and reports to communicate key findings
• Continuous Improvement: Stay updated on the latest trends in AI, machine learning, and data analytics to ensure that our solutions remain innovative and effective.

Qualifications:

• Education: University degree (Technical or Business) or equivalent experience in Data Science
• Experience: 3+ years of experience in data analytics and engineer, first experience with machine learning
• Agile & Collaborative Work : Experience with agile methodologies and familiarity with IT delivery processes
• Technical Skills : Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g., TensorFlow PyTorch).
• Experience with data analysis tools (e.g., SQL, Power BI, Fabric) and cloud platforms (e.g.Azure).
• Project Management: Experience in estimating tasks, assigning team responsibilities, and ensuring smooth execution of technical projects, including release management and continuous improvement.
• Communication Skills: Strong communication skills, with the ability to translate technical information to non-technical stakeholders and provide clear project updates.
• Problem-Solving: Demonstrated ability to analyze complex problems and provide effective, data-driven solutions.

Benefits:

• Flexible working conditions, such as flexible working hours and mobile working
• International Mobile Working
• Attractive ways of combining work and family life, e.g. childcare subsidy
• 30 days paid leave per year, plus special leave for exceptional life events as well as vacation pay and special annual payment according to collective agreement
• Company pension plan with attractive employer contribution incl. matching model for deferred compensation
• Plenty of parking spaces, canteen with caf© bar and ongoing offers in the employee shop
• Access to over 6000 fitness and yoga studios, swimming pools as well as Crossfit and bouldering halls (EGYM Wellpass)
• Various health and fitness offers, e.g. skin cancer screenings, online courses for mental health, massage offers, yoga during lunch break etc.
• Job Bike Leasing
• Attractive discounts on e.g. travel, fashion and technology via our corporate benefits platform