Data Science

At ABB, we help industries outrun - leaner and cleaner.Here, progress is an expectation - for you, your team, and the world.As a global market leader, we'll give you what you need to make it happen.It won't always be easy, growing takes grit.But at ABB, you'll never run alone.Run what runs the world.This Position reports to: Global Quality ManagerYour role and responsibilitiesWe are seeking a talented and motivated individual to join our team.Working closely with our experienced data scientists and engineers, you will contribute to the development of AI based innovative solutions for industrial applications focusing on aesthetic anomalies detection, predictive maintenance, and agentic AI systems.Work model: #LI-HybridDevelop AI solutions for aesthetic Anomaly Detection for industrial quality assurance, predictive maintenance and advanced AI Agents working with internal company dataConduct research and analysis about latest AI advancements with the aim of adopting them in the industrial manufacturing fieldEvaluate and interpret model results and provide actionable insights and recommendationsCollaborate with engineering teams to integrate models and algorithms into our existing systemsDevelop applications for data collection and manage Industrial IoT solutionsCommunicate findings and recommendations to stakeholders in clear and concise waysQualifications for the RoleYou have a Master's degree in Computer Science, Data Science or related fieldsYou possess knowledge of machine learning, deep learning and artificial intelligence principles and algorithmsYou have knowledge of Python, SQL and other data science tools and libraries and familiarity with computer vision technologiesYou have familiarity with AzureML, Agentic AI Framework as LangChain or LlamaIndex or protocols as MCP.You have skills in Edge AI hardware solutions like Nvidia Jetson or Raspberry Pi, CI/CD and MLOps solutions.You like working adopting a strong analytical and problem-solving attitude with the ability to work in team.You are at ease communicating in English and Italian.BenefitsCompetitive compensation: Attractive salary packages and performance bonuses.Corporate welfare: Access to a wide range of services and personal well-being support.Career development: Structured career paths, individual development plans, opportunities for internal mobility, including international roles, technical and managerial training programs, mentoring and access to global learning platformsFlexibility and work-life balance: Flexible working hours, hybrid work options, and a strong focus on work-life integration.Employee Support: free services like psychological help, wellness coaching, and emotional support for employees and their families.Parental Leave: at least 12 weeks of fully paid leave for primary caregivers and 4 weeks for secondary caregivers, promoting DEI values.Meal allowance: Access to canteen or ticket restaurant is provided to support daily lunch expenses.More about usABB Smart Power provides energy distribution solutions for data centers, industrial and manufacturing plants, critical infrastructure and commercial buildings.The Division's technical teams work closely with industry partners, delivering advanced solutions that support rapid growth, energy transition, and sustainability objectives.The Division's portfolio includes industrial circuit breakers, low-voltage systems, motor starting applications, and safety devices like switches and relays.Its Power Protection unit supports the world's largest data center companies with advanced energy-efficient UPS solutions.The Division's ABB AbilityTM Energy Manager provides a scalable, easy-to-use platform that helps organizations save energy and reduce CO2 emissions.Join us.Be part of the team where progress happens, industries transform, and your work shapes the world.Run What Runs the World.#ABBCareers #RunwithABBWe value people from different backgrounds.Could this be your story?Apply today or visit to read more about us and learn about the impact of our solutions across the globe.#J-*****-Ljbffr