Hire the Best Data Scientists
in Switzerland
Dietikon, Switzerland
I'm a Scientist expert in data science, data analytics in multiple domains (biomedical images, biology datasets, big data analytics)
- Data Analysis
- Machine Learning
- Python
- R
- ETL
- Data Extraction
- JavaScript
- Bioinformatics
- Statistical Analysis
- Multivariate Statistics
Geneve, Switzerland
I’m Albane, I build the AI and data tools that help businesses move faster. With a background from Mines Paris - PSL and experience inside high-stakes finance teams, my work is defined by the principle that technology should be a profit center, not an overhead cost. Recently, I helped a client save over $120,000 in yearly overhead by replacing their manual data entry with custom LLM agents. Whether it’s launching a full-stack app from scratch or building a BI dashboard that actually makes sense of your marketing spend, my goal is to turn your complex data into a clear roadmap for growth. Having worked across pharma, marketing, and fintech, I’ve seen that every industry has hidden "data debt" that can be automated. I use a mix of Python, Claude Code and automation tools to build systems that are both sophisticated and easy for your team to use. If you’re looking for a proactive partner who can handle the heavy lifting and deliver real ROI, I’d love to see how I can help your project.
- Data Analysis
- Machine Learning
- Web & Mobile Design Consultation
- Artificial Intelligence
- n8n
- AI Agent Development
- Task Automation
- API Integration
- SaaS Development
- Make.com
- Claude
- AI Chatbot
- AI Consulting
- AI Implementation
Zurich, Switzerland
Data Scientist with over 10 years of experience developing advanced analytical solutions in R&D. Extensive proficiency in programming, statistics and machine learning, with strong problem-solving and communication skills. - Developed computational tools that drove the advance of over 10 projects, including data analytics pipelines, machine learning models for biomarkers detection, data processing algorithms that saved 60% of data analysis time, and an open-source Python package with innovative tools for processing and analyzing complex biomedical data. - Led 5 innovative research projects, involving reviewing literature, conceiving original ideas, designing research roadmaps, writing grant proposals, collaborating with key scientific leaders, communicating with internal and external stakeholders, and publishing findings. These efforts resulted in the obtention of funding for research, 7 scientific articles published in peer-reviewed journals at the top 25% of impact, and 4 technological developments.
- Data Science
- Algorithm Development
- Data Analysis
- Machine Learning
- Python
- R
- Statistics
- Machine Learning Model
- Science
- Neuroscience
- Digital Signal Processing
- Supervised Learning
- Unsupervised Learning
- Time Series Analysis
- Deep Learning
Sankt Gallen, Switzerland
🚀 Expert AI & Full-Stack Developer | NLP, RAG, and Machine Learning Specialist Detail-oriented and highly skilled software developer with a deep specialization in Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and advanced data analysis. I bring a strong foundation in AI development, with proficiency in a wide range of programming languages and tools, including Python, PyTorch, LangChain, and LangGraph. 🔍 What I Offer: Cutting-Edge NLP Solutions: From chatbots to AI-driven research tools, I excel in building robust NLP systems that deliver accurate and context-aware responses. RAG Expertise: Skilled in developing high-performance Retrieval-Augmented Generation systems, integrating embeddings, vector databases, and generative models for complex information retrieval tasks. Full-Stack Capabilities: Proficient in backend and API development (Python, Django, FastAPI), with front-end experience in JavaScript frameworks (React, Next.js) for complete end-to-end solutions. Seamless Remote Collaboration: Proven track record of working with international clients and remote teams, ensuring efficient project delivery and excellent communication.
- Neural Network
- Artificial Neural Network
- PyTorch
- Graph Neural Network
- Academic Research
- Computing & Networking
- Web & Mobile Design Consultation
Nyon, Switzerland
I am a senior financial and systems architect with a rare, 15-year career built at the intersection of institutional finance and full-stack development. I don't just analyze business problems; I architect and build the robust, end-to-end software solutions that solve them permanently. My expertise is in designing and building the "AI core" and data infrastructure for high-stakes financial and operational systems. I specialize in projects that require a deep, first-principles understanding of the business logic (from M&A valuation to derivative modeling) and the hands-on engineering skill to build the production-grade applications that bring that logic to life. Whether you need a complex financial model, a multi-API data pipeline, or a complete, AI-driven web application, I deliver institutional-grade solutions that are scalable, auditable, and built for real-world decision-making. Core Competencies (What I Deliver): Full-Stack Application Development: Architecting and building complete, end-to-end internal tools and data applications. This includes: Backend & API Architecture: Designing and building robust backend services, multi-REST API integrations, and LLM orchestration engines using Python (FastAPI, Django) and SQL/NoSQL databases. Frontend & UI/UX: Creating clean, intuitive, and interactive web-based applications and dashboards using Streamlit and other modern frameworks to allow non-technical users to execute complex scripts and analysis. Quantitative Finance & Modeling: Building institutional-grade financial models from the ground up, including M&A valuation, project finance, derivatives, and sophisticated stochastic models (Monte Carlo simulations) for risk analysis. AI & Machine Learning Engineering: Designing and implementing production-ready AI pipelines, from custom ML models for predictive forecasting to RAG (Retrieval-Augmented Generation) systems for intelligent document analysis and automated reporting. Financial Systems & Data Architecture: Architecting and managing the data pipelines, consolidation logic, and reporting frameworks for complex, multi-entity global organizations (140+ entities, 51 countries). Technical Skillset (The "How"): Languages & Frameworks: Python (Expert), SQL (Expert), C++, Java (Spring Boot), JavaScript Backend & APIs: FastAPI, Django, REST API Design & Orchestration, LLM Integration (OpenAI) Frontend & BI: Streamlit, React.js (Proficient), Power BI, Looker Studio Databases: PostgreSQL, DuckDB, MongoDB, SQLite Data Science & ML: Pandas, NumPy, Scikit-learn, PyTorch, LangChain, LlamaIndex Legacy & Enterprise: Advanced Excel, VBA, SAP BFC, HFM I thrive on architecting solutions to complex, data-intensive challenges. My unique value is my ability to operate as a true hybrid: a senior finance professional who can think at a strategic level and a full-stack engineer who can build the production-grade tools to execute that strategy. Let's build something robust, intelligent, and valuable together.
- Python
- Financial Planning
- Accounting
- AI Agent Development
- SQL Programming
- Excel Macros
- Python Script
- Python Asyncio
- API Development
- SAP Business Planning & Consolidation
- Financial Analysis & Valuation
- Financial Accounting
- Quantitative Finance
Zurich, Switzerland
I'm a freelance quant / programmer / researcher. For some of my past projects, see github.com/michaelhodel
- Data Science
- Data Analysis
- Machine Learning
- Statistics
- Financial Modeling
- Mathematics
- Quantitative Finance
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Cost to hire a Data Scientist
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Data Scientist job description template
Get tips to write a job post that attracts qualified Data Scientists.

Data Scientist interview questions
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