engineering / r&d digitization consultant

In this context, we are looking for a motivated and self-driving Consultant with exceptional skills in communication and analytics to produce quality deliverables for the client. As a Consultant in Engineering and R&D Digitization, you will work closely with the Manager/Sr. Manager to define and deliver in the areas of Digital Twin & Thread enablement including use case definition, data model definition, functional design, dashboarding, analytical models and value realization.

• Responsibilities:
• Develop IoT & real time data analytics based smart tools which can drive decision making and help in problem solving
• Detail the Digital twin & thread use cases with functional design, define the data model and governance, identify interface and dashboarding requirements
• Develop Digital Twin & Thread assets/tools and solutions that meet our clients’ needs in innovative ways. Co-develop use cases, assets & solutions with business teams
• Define the business requirements, measures of success, and features for your products and services, and help executives to deliver these to market
• Design & develop research & development processes in discrete industries with intelligent and collaborative tools to bring product’s digital twin to life
• Engineering Degree (Tier-1 institutes; postgraduate studies preferred), relevant work experience of 3-7 years
• Understanding and experience in engineering and R&D business process models and relevant digital technologies
• In-depth working and understanding of Digital Twin & Thread areas and the technologies that enable these
• Experience in driving digital R&D projects with the use of trending technologies such as: virtual prototyping and testing, digital twin Simulations, generative design, predictive analytics, data driven feature designing, closed loop feedbacks etc.
• Good understanding of emerging technologies: IOT/AI/ ML/ Edge Computing/AR/VR in product development, engineering and manufacturing process improvements

​

show less

Qualifications

• 
  
• WHO WE´RE LOOKING FOR?
• Engineering Degree (Tier-1 institutes; postgraduate studies preferred), relevant work experience of 3-7 years
• Understanding and experience in engineering and R&D business process models and relevant digital technologies
• In-depth working and understanding of Digital Twin & Thread areas and the technologies that enable these
• Experience in driving digital R&D projects with the use of trending technologies such as: virtual prototyping and testing, digital twin Simulations, generative design, predictive analytics, data driven feature designing, closed loop feedbacks etc.
• Good understanding of emerging technologies: IOT/AI/ ML/ Edge Computing/AR/VR in product development, engineering and manufacturing process improvements
• Key skills:   
• •   Knowledge of Digital tools such as: IOT ThingWorx, Predix, Azure IOT, AWS, Mind Sphere, Cumulocity. Familiar with at least one IOT platform end to end
• •   Capability with one of the key technologies: AI/ML/Edge Computing/AR/VR
• •   Experience in implementing Model Based Systems Engineering (MBSE)
• •   Strong oral and written communication skills, including presentation and documentation skills (Excel, Visio, PowerPoint, etc.)
• WHAT´S IN IT FOR YOU?
• Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts
• Continuous hard and soft skills training & development through global platforms & local academy
• Career coaching and mentorship to help you manage your career and develop professionally
• Ongoing strengths and skills based evaluation process
• Various opportunities to develop your career across a spectrum of clients, industries and projects
• Diverse and inclusive culture
• Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)
• Under our Brain Regain initiative, extra relocation benefits may apply