APPRENTICE – Operations Research Scientist for the Innovation Center for Optimization & AI

Job title:

APPRENTICE – Operations Research Scientist for the Innovation Center for Optimization & AI

Company:

Siemens

Job description

Job Description:Job title: ApprenticeCreate a better tomorrow with us.We are looking for an Apprentice for the Innovation Center for Optimization & AI who will be trained in 2 years as Operations Research Scientist.During the apprenticeship you will receive a comprehensive and state-of-the- art training to develop your personal and professional skills and you will have the support of a mentor to achieve your career stepsSiemens is a focused technology company, pioneering intelligent solutions that transform the everyday in manufacturing, grids, buildings, and transportation. Our technology addresses real problems that affect the future of humanity.You love to create an impact? From Day 1 you are empowered to make a difference for a better tomorrow with your full potential and creativity.Your ChallengeAs an Operations Research Scientist some of your main activities will be:

  • Assist in the design, development, and implementation of optimization models to enhance Siemens Mobility’s planning software.
  • Employ mathematical programming software tools to devise solutions.
  • Collaborate with senior staff and cross-functional teams to understand business requirements and objectives.
  • Analyze data and take part in workshops to support the development of novel optimization approaches.
  • Stay current with the latest research and trends in optimization and operations research.
  • Actively seek ways to improve models, algorithms, and processes
  • Engage in international projects and collaborate with teams from various countries

Required entry qualifications:

  • You have less than 30 years of age, in accordance with the Italian apprenticeship contract
  • Recent PhD or PhD candidate nearing completion in Operations Research, Industrial Engineering, Mathematics, or related fields with a thesis focused on optimization. Candidates with Master’s degree candidates may also be considered.
  • Strong foundation in mathematical programming and familiarity with optimization software tools (e.g., CPLEX, Gurobi, etc).
  • Excellent analytical and problem-solving skills.
  • Ability to work effectively in a team and communicate complex ideas clearly.
  • Programming skills in language of choice (Python, Java, C++ etc)
  • Proficiency in English and Italian
  • Team player ability, strong communication & interpersonal skills;
  • Ability to work in a changing environment
  • Passion to never-stop growing
  • Respect and appreciation of each person’s uniqueness, willingness to co create and share knowledge
  • Eligibility to work in Italy

What we offer

  • Flexibility: trustful environment with an inclusive and flexible way of working driven by results,; hybrid and remote working enabled by innovative tools and devices, personal computer and smartphone; wi-fi connection reimbursement.
  • Welfare: flexible welfare programs and health insurance extendable to your family; professional and extraprofessional accident insurance; free on-site lunch options.
  • Never stop growing: plenty opportunities for continuous and individual learning journeys
  • An inclusive team culture where you can be yourself

Join us and be yourself. Inclusion is our ambition!Siemens is an equal opportunity employer, offering a safe and inclusive work environment, based on mutual respect and the appreciation of uniqueness, guaranteeing equal employment opportunities to all qualified candidates to unleash their full potential.Address to us your desired working conditions/ environment. Typically, this kind of position is full-time, however please feel free to ask for a more flexible arrangement if that suits better to you.For more details about Siemens Italia please go to:Our recruiting team is looking forward to getting to know you!#MakeYourImpact #LI-Hybrid

Expected salary

Location

Roma

Job date

Tue, 10 Jun 2025 23:17:36 GMT

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