Position Title ITQ Engineer II - Statistics & Data Science Function/Group R&D/Packaging Location Mumbai Shift Timing Regular Role Reports to Sr. Manager, Global Knowledge Solutions Remote/Hybrid/in-Office Hybrid ABOUT GENERAL MILLS We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Haagen-Dazs, we have been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate. us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC), Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI), Global Shared Services (GSS), Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. JOB OVERVIEW Function Overview In partnership with our cross-functional partners, ITQ innovates and develops products that meet the ever-changing needs of our consumers and enables long-term business growth. We identify and develop technologies that shape and protect our businesses today and into the future. ITQ operates across three organizations: Global Applications, Capabilities COEs, and Shared Services & Operations For more details about General Mills please visit this Link Purpose of the role The Global Knowledge Solutions (GKS) organization catalyzes the creation, transfer, and application of knowledge to ensure ITQ succeeds at its mission of driving internal and external innovation, developing differentiated technology, and engendering trust through food safety and quality. We are seeking an intellectually curious engineer with strong mathematics and theoretical background who is eager to apply modern modeling and simulation methodologies to solve complex and challenging food design and processing problems. You will work with engineers and scientists to design, develop, and optimize our current and next-generation food processes to make food the world loves! This role is within our ITQ’s Nutrition, Technology, & Science (NTS) organization. In NTS, we help our Operating Unit-aligned R&D teams transform consumer-centric possibilities into realities through science. We build and advance technical solutions to enable innovations and drive efficiencies in ingredients, process, packaging, and products. KEY ACCOUNTABILITIES Client Consultation and Business Partnering (15% of Time) Collaborate with clients to identify needs and success criteria, translating them into clear project objectives, timelines, and plans. Maintain responsiveness and timeliness in project updates, addressing client queries, and fulfilling project commitments. Excellent Technical Work (70 % of Time) Looking for a Master’s or Ph.D. engineering degree holder with a strong academic background who can analyze real-world situations using data-centric and phenomenon-based modeling tools. Applying multiple lenses such as process dynamics, fluid and solid mechanics, reaction kinetics, heat and mass transfer, and process control, you will work independently or with a team to: Leverage fundamental chemical and/or mechanical engineering principles to dissect and understand how great-tasting food is made on our equipment. Apply computer-aided engineering (CAE) modeling, process modeling, and data-driven or machine learning techniques to analyze and develop a hypothesis to solve complex engineering problems that will improve process efficiency and product quality. Develop cutting-edge hybrid simulation methodologies and tools, such as Multiphysics modeling or hybrid mechanistic modeling / machine learning to drive learning. Integrate cross-disciplinary software and hardware tools as needed for problems at hand (e.g. Visual Basic/Python programming, PLC programming, vision systems, computer-aided design (CAD), etc.). Design and execute experiments in concert with collaborators to test hypotheses, generate data needed for model validation, and scale-up / scale-down to translate insights. Develop modeling and simulation approaches in tandem with experimentation to advance technical possibilities, drive technical learning, deliver adopted solutions to problems, and capture big business impact. Innovation, Continuous Improvement (CI), and Personal Development (10 % of Time) Apply a continuous improvement mindset to work, identifying opportunities for efficiency improvements and enhanced client value. Explore new resources, develop innovative methods, and seek external inspiration to drive improvements in work processes. Continually enhance skills and knowledge in information technology. Engage in self-directed learning to stay motivated and scale knowledge in the areas of Sales Force and SharePoint specialization. Administration (5 % of Time) Participate in all mandatory training (Safety, HR, Finance, CI, etc.) and actively support GKS and ITQ meetings, events, and activities. Fulfill other administrative tasks as required MINIMUM QUALIFICATIONS Master’s or Ph.D. engineering degree holder with a strong knowledge of Mechanistic Modelling Excellent written and oral communication skills Committed to self-development and learning. For the Statistics & Data Science Program Area Proven record of scientific excellence and data-driven decision making. Deep data and analytics, modeling and simulation, and computer science experience. Industrial internship experience Demonstrated ability to deliver outstanding results. Demonstrated skills in managing numerous projects concurrently and adaptability to fast-growing/constantly changing stakeholder needs. Demonstrated effective communication, leadership, and influencing skills. Ability to design and execute experiments to understand and solve technical problems, strong technical background. Innovative thinker, willing to challenge established methods and beliefs. For Global Knowledge Solutions Ability to effectively work cross-functionally with internal/global team members. High self-motivation, with the ability to work both independently and in teams. Excels at driving projects to completion, with attention to detail. Ability to exercise judgment in handling confidential and proprietary information. Ability to effectively prioritize, multi-task, and execute tasks according to a plan. Able to work on multiple priorities and projects simultaneously. Demonstrated creative problem-solving abilities, attention to detail, ability to “think outside the box.” Good command of English language. PREFERRED QUALIFICATIONS Master’s or Ph.D. engineering degree holder with a strong knowledge of Mechanistic Modelling 2-3 years of working experience on CAD, CAE, Ansys, Python