Senior Data Scientist developing Asset Management Analytics for Queensland Rail. Contributing to organisational KPIs and enhancing asset performance through data analysis and modelling.
About the role
- Senior Generative AI & Agentic Systems Data Scientist in Solvay's Digital Enablement team focusing on AIs and Machine Learning solutions. Collaborating across teams to innovate and enhance AI-driven solutions for business challenges.
Responsibilities
- You will work on Machine Learning (ML), Generative AI (GenAI), Large Language Models (LLMs), and especially cutting-edge Agentic AI technologies in Microsoft Azure ecosystem.
- Explore and implement Agentic AI frameworks to enable autonomous decision-making and multi-step reasoning in AI systems.
- Build and fine-tune LLMs for domain-specific applications, ensuring scalability and performance.
- Design, develop, and deploy advanced ML models, GenAI & AgenticAI solutions to solve complex business problems.
- Collaborate with cross-functional teams to integrate AI-driven solutions into enterprise workflows.
- Stay ahead of emerging trends in AI, contributing to innovation and thought leadership within the organization.
- Ensure compliance with ethical AI practices, data governance, and security standards.
- Accountable for project management and technical implementation in designing scalable data pipelines, managing secure environments, and preparing data for the AI models.
- Ensure the collection of consistent data and the preparation of data models including time-series, classification, optimization, prediction and recommendation algorithms.
- Provide an operational workplace to the users; and build Agentic AI features to improve operational processes.
- Maintain overall data models and applications. Monitor data load jobs; perform evolutions to data models, analysis, operational workplace upon request.
- Participate in upskilling a federated CoE network of citizen developers around the company.
Requirements
- Relevant education degree or equivalent in Business Informatics, Data Science and AI or Computer Science.
- Relevant work experience of at least 5+ years in Data science, GenAI & Agentic AI-focused roles with data engineering as plus.
- Technical Expertise: Practical knowledge and experience in Agentic AI architectures, multi-agent systems, and autonomous workflows in Microsoft Azure ecosystem.
- Strong proficiency in Python and ML frameworks (Azure AI Foundry, TensorFlow, PyTorch, Scikit-learn, LangChain).
- Hands-on experience with Generative AI models (e.g., GPT, diffusion models) and LLM fine-tuning.
- Competencies: Fluency in English. Celonis PQL language is a plus.
- Ability to translate business challenges into AI solutions.
- Strong background in statistics, optimization, and algorithm design.
- Proven experience in Data Science, Big Data.
- Experience with cloud platforms (mainly Azure, but other is a plus AWS, GCP).
- Familiarity with prompt engineering and reinforcement learning from human feedback (RLHF).
- Data Mining, Process Mining and SQL databases and ETL (Extract, Transform, Load).
Benefits
- Solvay Cares program: minimum of 16 weeks of parenting leave for all employees and package with healthcare, disability and life insurance coverage.
- Prioritization of well-being: work-life balance promotion, flexible approach to work part-time or hybrid work arrangements (depending on the type of job), employee assistance program with access to physical and psychological support.
- Professional development: prioritization of internal talents for career progression, access to a training platform, opportunities to join Employee Resource Groups (ERG) for experience sharing and mentorship and free language courses.
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