Hexagon AB
Data Science Intern, Engineering
Hexagon AB, North Kingstown, Rhode Island, us, 02852
Hexagon’s Manufacturing Intelligence division is seeking a Data Science Intern for our Novi, MI location. Remote work arrangement available.
At Hexagon, we strive to help industrial manufacturers develop the disruptive technologies of today and the life-changing products of tomorrow. Our strength comes from our global footprint and enormous portfolio of advanced industrial sensors, measurement technologies, factory automation, simulation, and analytics tools.
Description:The Data Science Intern will assist in testing and development of proof-of-concept applications and codebases, as well as identify and solve problems related to CAE customer workflows.Job Responsibilities
Assist in testing and development of proof-of-concept applications using recent machine learning innovations including large language models to enhance CAE customer workflows.Collaborate with cross-functional teams to identify and solve problems related to CAE customer workflows in Hexagon products.Develop codebases using Python programming language for machine learning model validation and experiments.Qualifications
Must be enrolled in a Data Science or related graduate degree program and have good academic standing.Self-motivated and proactive to learn new skills related to large language models and machine learning with Python programming language.Familiarity with Python libraries for data analysis and machine learning such as pandas, NumPy, scikit-learn, TensorFlow, Keras, PyTorch, LangChain.Experience working independently or in a team environment.Experience with CAE workflows is a plus.Ability to work Monday- Friday, 40 hours per week during the summer break.At
Hexagon Manufacturing Intelligence , our spirited energy and engagement are evident in our commitment to our work, passion for what we do and the speed by which we achieve it. Here you will find the opportunity to build your career, develop professionally, and explore opportunities across a large, diversified company that prides itself on its innovative spirit and commitment to integrity.
We strive to attract the most talented and dynamic individuals in their fields because our success is in our people! Our culture encourages independent thinking and a team mentality.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.Business Unit: PTO Design and EngineeringCountry/Region: United StatesWorkplace: North Kingstown, RI, HybridJob Function: EngineeringAbout Hexagon
Hexagon is a global leader in sensor, software and autonomous solutions. We are putting data to work to boost efficiency, productivity, and quality across industrial, manufacturing, infrastructure, safety, and mobility applications. Our technologies are shaping urban and production ecosystems to become increasingly connected and autonomous – ensuring a scalable, sustainable future. Hexagon’s Manufacturing Intelligence division provides solutions that utilise data from design and engineering, production and metrology to make manufacturing smarter.
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At Hexagon, we strive to help industrial manufacturers develop the disruptive technologies of today and the life-changing products of tomorrow. Our strength comes from our global footprint and enormous portfolio of advanced industrial sensors, measurement technologies, factory automation, simulation, and analytics tools.
Description:The Data Science Intern will assist in testing and development of proof-of-concept applications and codebases, as well as identify and solve problems related to CAE customer workflows.Job Responsibilities
Assist in testing and development of proof-of-concept applications using recent machine learning innovations including large language models to enhance CAE customer workflows.Collaborate with cross-functional teams to identify and solve problems related to CAE customer workflows in Hexagon products.Develop codebases using Python programming language for machine learning model validation and experiments.Qualifications
Must be enrolled in a Data Science or related graduate degree program and have good academic standing.Self-motivated and proactive to learn new skills related to large language models and machine learning with Python programming language.Familiarity with Python libraries for data analysis and machine learning such as pandas, NumPy, scikit-learn, TensorFlow, Keras, PyTorch, LangChain.Experience working independently or in a team environment.Experience with CAE workflows is a plus.Ability to work Monday- Friday, 40 hours per week during the summer break.At
Hexagon Manufacturing Intelligence , our spirited energy and engagement are evident in our commitment to our work, passion for what we do and the speed by which we achieve it. Here you will find the opportunity to build your career, develop professionally, and explore opportunities across a large, diversified company that prides itself on its innovative spirit and commitment to integrity.
We strive to attract the most talented and dynamic individuals in their fields because our success is in our people! Our culture encourages independent thinking and a team mentality.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.Business Unit: PTO Design and EngineeringCountry/Region: United StatesWorkplace: North Kingstown, RI, HybridJob Function: EngineeringAbout Hexagon
Hexagon is a global leader in sensor, software and autonomous solutions. We are putting data to work to boost efficiency, productivity, and quality across industrial, manufacturing, infrastructure, safety, and mobility applications. Our technologies are shaping urban and production ecosystems to become increasingly connected and autonomous – ensuring a scalable, sustainable future. Hexagon’s Manufacturing Intelligence division provides solutions that utilise data from design and engineering, production and metrology to make manufacturing smarter.
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