Senior Data Scientist

AVEVA is a global leader in industrial software, and we’re seeking a skilled Senior Data Scientist to join our growing Data Science and AI team. In this role, you will lead complex data science projects, develop advanced machine learning models, and provide strategic insights to enable data-driven business decisions.

Requirements

• Participate in all stages of data science projects, including problem definition, data exploration, model deployment, and performance monitoring.
• Co-design, develop, and deploy machine learning models and statistical algorithms to solve real-world business problems.
• Create, deploy, and maintain AI agents, including task-specific agents, autonomous workflows, and multi-agent systems.
• Define and apply best practices for AI agent development, including prompt engineering, evaluation frameworks, and safety protocols.
• Monitor and optimize the performance of deployed AI agents to ensure reliability, scalability, and alignment with business objectives.
• Adhere to and promote to best practices and standards for data science process (including documentation) and code developments.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
• Collaborate with data engineers to ensure robust data pipelines and scalable model deployment.
• Stay current with the latest research and trends in data science, machine learning, and AI.
• 5+ years of experience in data science or machine learning roles.
• Proficiency in Python, and experience with libraries such as scikit-learn, langgraph and langchain.
• Experience working with database systems (such as SQL).
• Experience in cloud platforms (AWS, GCP, Azure).
• Familiarity with Azure infrastructure, particularly Azure Databricks.
• Solid understanding of statistical modeling, machine learning, data mining techniques and NLP.
• Proven experience in developing and deploying AI agents and/or Machine Learning (ML) models to production with measurable business impact.
• Knowledge of git/version control systems.
• Excellent communication and presentation skills.
• Desirable: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
• Experience working with large-scale data systems (e.g., Spark, Hadoop, BigQuery).
• Familiarity with MLOps and DataOps tools and practices.
• Experience with search engines, classification algorithms or recommendation systems is a plus.