.Time left to apply: End Date: October 31, 2024 (24 days left to apply)Job Requisition ID: R007934AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion.Position: Lead Data ScientistEmployment type: Full-time regularBenefits: Competitive package with an attractive bonus incentive plan, regionally specific benefits ranging from above the norm paid vacation, contributions to retirement investment plans or pensions, insurances, and many other memberships and perks designed to enhance the workplace experience, your health, and well-being.The job: We are looking for a Lead Data Scientist to play a pivotal role in solving complex business problems and discovering business insights using quantitative disciplines (statistical, algorithmic, and mining) and visualization techniques.Principal Accountabilities:Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI) and data science.Identify AI business opportunities and collaborate across the business to understand IT and business constraints.Prioritize, scope, and manage data science projects and the corresponding key performance indicators (KPIs) for success.Apply various machine learning (ML) and advanced analytics techniques to perform diverse classification or prediction tasks.Integrate domain knowledge into the ML solution, such as understanding financial risk, customer journey, quality prediction, sales, and marketing.Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options.Train and coach peers on specialist data science topics and promote collaboration with other analytics teams within the organization.Ideal Experience and Skills:At least 5 years of experience in a Lead Data Scientist role, ideally managing a team of 3 data scientists.Proficiency in Python, R, SQL, and other data science coding languages.Demonstrable experience with Databricks platform, Azure ML, or other data science platforms.Experience with large language models (LLM) is highly desirable, particularly Azure OpenAI, Databricks DBQ, etc.Strong knowledge and experience in statistical and data mining techniques, such as generalized linear models (GLM), random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural networks (CNN), and recurrent neural networks (RNN).Expertise in solving problems related to vision, text analytics, credit scoring, failure prediction, and propensity to buy.Ability to work in diverse, cross-functional teams in a dynamic business environment