Data scientist állások, munkák

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• Measuring and evaluating digital employer branding campaigns across paid, owned, and organic channels, using web analytics to assess channel contribution
• Applying tracking frameworks including UTM parameters, conversion tracking, and attribution models to assess campaign ROI and media efficiency

• Support AI projects from idea intake through assessment, development, implementation, and maintenance
• Evaluate business processes and identify opportunities where AI solutions can create value
• Assist with documenting requirements, processes, and AI solutions

Delivery Lead Established in 1927, SICPA is a Swiss private technology company that supports the effective governance and long-term prosperity of nations. SICPA sets the pulse of sovereignty, enabling governments to protect their citizens, sovereign assets, and economies. Best known for securing...

• Operation of Power Platform components within the Cloud Data & Analytics Platform
• Monitoring platform usage, performance, and capacity
• Management and maintenance of Power BI gateways and secure data connections to Azure Lakehouse backend
• Oversight of role-based access control and workspace permissions

• You support automation initiatives within the Security Operations Center, leveraging machine learning, large language models, and workflow automation
• You help develop prototypes for use cases such as alert enrichment, triage support, case summarization, and threat intelligence processing

• Részvétel hosszútávú K+F, termékfejlesztési és ügyfél bevezetési projektekben
• Új termékek és termékfunkciók kitalálása
• Ügyfelek igényeinek és a termékekkel kapcsolatos piaci elvárások megértése
• Új funkcionális koncepciók kialakítása
• Követelmények gyűjtése és elemzése a specifikációs folyamatban

• Collaboration with Global Process Owners (GPOs), GBS Operations, and other business stakeholders to understand business processes
• Acting as the primary liaison between business and technical teams throughout process discovery and improvement opportunity identification

• Develop and enhance pricing models for motor, home and other retail insurance products
• Build predictive and statistical models to support pricing and portfolio steering
• Conduct competitiveness analyses, elasticity studies and profitability assessments

Generative AI / Machine Learning Engineer (PhD required) – 60% workload & immediately available – Pharma Industry experience (Ref. Nr. 2745) Our client is a well-established pharmaceutical company in the city of Zug, operating as part of global group. To support their commercial department, we are...

• Participation in projects providing unique and comprehensive professional knowledge
• Understanding clients’ needs and acting as translator between client and developers
• Responsibility for used functionalities at clients and related questions

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Üzleti igények strukturált összegyűjtése, megértése és egyeztetése
• Dokumentumok készítése (üzleti követelmények, specifikációk, tesztesetek)
• Döntéstámogató anyagok, riportok készítése
• CRM és low-code / no-code alapú megoldások beállítása, paraméterezése, üzleti tesztelése

• Keep the operational backbone running – ticketing, HubSpot, and our data room (Dock), clean and up to date.
• Take customer questions and route them internally – the "travel agent" who gets every request to the right people fast.

Data Engineer - Analytics Platform (m/f/d) Level of employment: 80-100% Working place: Allschwil and Home- Office For 26 years, Medgate has been bringing doctors directly to patients 24/7 thanks to telemedicine. At Medgate Switzerland, more than 300 motivated employees - including over 130...

• Tech Stack: Python (Django/FastAPI), PostgreSQL/TimescaleDB, Redis, Celery, Docker, AWS, GitLab CI/CD, Sentry, Grafana
• Your Focus: API design & architecture, backend integrations, data flows, system reliability and scalability

• Identification, assessment, and analysis of business requirements and needs related to systems and business processes
• Organization and facilitation of discussions between business and IT stakeholders to clarify and align requirements

• Development and optimization of AI applications for production and development processes
• Analysis of large production, quality, and process datasets
• Creation of dashboards and data models for data-driven decision-making
• Development of machine learning models for quality improvement

• Definition and execution of automation and AI strategy aligned with GBS priorities and enterprise digital roadmap
• Leadership of a global organization including automation and AI teams across 4 locations

• Tervezés és üzemeltetés AI-ügynökök és automatizált delivery pipeline-ok infrastruktúráján OKD/OpenShift platformon
• LLM-alapú eszközök integrálása DevOps folyamatokba automatizált kódreview-k, tesztfuttatások és runbook-generálás kialakításával