Data Scientist - IP (on contract)

We are a leading chemical company, with the best teams developing intelligent solutions for our customers, and for a sustainable future.

We connect and develop people with diverse talents all over the world. For you, this means a variety of ways to progress.

Not only your performance but also your personality matter to us, regardless of gender, age, ethnicity, orientation, and background. At BASF, careers develop from opportunities .

About the Role

• This contractual position is part of BASF's Global IP team, which plays a critical role in generating strategic technology and innovation insights. The team leverages advanced analytics, AI-ML, and Intellectual Property data to support technology scouting, trend analysis, competitive intelligence, innovation portfolio assessment, and strategic decision-making across the organization.
• he objective of this role is to transform complex internal and external data into actionable intelligence and continuously enhance the impact of IP Intelligence through modern digital and AI-driven methodologies.

Key Responsibilities

The successful candidate will contribute to:

• Designing and developing end-to-end AI and analytics solutions.
• Building scalable and modular AI applications.
• Developing and deploying LLM-powered solutions, AI agents, and workflow automation frameworks.
• Working with advanced technologies such as RAG, MCP, Knowledge Graphs, and Agentic AI.
• Data preprocessing, harmonization, feature engineering, and machine learning model development.
• Developing full-stack web applications and REST APIs.
• Leveraging tools and frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, CrewAI and related technologies.
• Collaborating with IP Intelligence experts to derive technology, innovation, and competitive insights from patent and scientific data.

Desired Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Data Analytics, or a related field.
• 2-4 years of relevant professional experience.
• Strong proficiency in Python and data science libraries such as Pandas, Scikit-learn, Streamlit, SpaCy, NLTK, Hugging Face, Transformers, OpenAI.
• Experience in Machine Learning, NLP, Generative AI, and LLM integration.
• Experience developing Web Applications and REST APIs using Python and JavaScript frameworks.
• Exposure to Power BI, PowerApps, Power Automate, Docker, Kubernetes, and cloud environments.
• Strong problem-solving abilities and a keen interest in applying AI within the Intellectual Property and Innovation Intelligence domain.