Data Scientist
Arup
Milan, Italy
3 gg fa

We are currently seeking a Data Scientist based in our Milan office.

Join us at Arup toShape a Better World!

A career at Arupoffers you the chance to make a positive difference in the world. Independentlyowned and independently minded, we attract a diverse mix of people to work onground-breaking projects.

At Arup, ourinnovative spirit compels us to express our ingenuity in unique ways -engineering, planning, designing, and consulting on many of the most renownedprojects in the built environment.

We aim to deliver technical excellence,innovation, and value to clients, while maintaining our core mission of shapinga better world.

About the Role

A major aspect of Arup’s Digital Transformationstrategy is to improve internal processes and develop new services for ourclients, based on existing business models with new technologies, codinglanguages, Machine Learning methods to explore and test new tools, API andoutputs as well as to make best use of the data available to improve thequality of our advice and the solutions we deliver for the built environment.

Working with us you will :

  • Contribute to projects that deliver high quality andpragmatic advice and solutions to engineering, design and IT problems;
  • Collaborate with colleagues from around the globe onprojects and research;
  • Design, develop & deliver applications to meetbusiness needs that are related to build environment related projects.
  • You will act as leading Data Scientist within ItalyGroup, collaborating with our Digital Working Group and liaising with the EuropeanDigital Specialist Team, a group of specialists developing digital services forall Arup groups in the Region.

    Your Skills and Experience

  • Develop data science and machine learning solutions,using knowledge of a variety of machine learning techniques (kNN clustering,decision tree learning, artificial neural networks, Random Forest, Boostingetc.
  • and when it’s appropriate to use them

  • Experience with data collection, profiling andcleansing data
  • Ability to work with structured and unstructureddatasets
  • Experience of working with one or more databasetechnologies : SQL and NoSQL
  • Proficiency in Python and knowledge of R or Scala
  • Experience of advanced statistical techniques andconcepts (time series analysis, properties of distributions, statistical testsand proper usage, etc.)
  • Knowledge and experience of data mining techniquessuch as text mining, social network analysis, etc
  • Experience using Cloud infrastructures : AWS, Azure,etc.
  • Ability to manage stakeholder expectations and togather user requirements
  • Knowledge of git and version control is desirable
  • Experience visualizing / presenting data forstakeholders using : Power BI, Tableau, D3 etc.
  • Experience delivering data science solutions in aproduction environment
  • The ideal candidate would have the following :

  • University degree in a related discipline to the role ispreferred but not essential;
  • Some past experience in leading data strategy projects;
  • Fluent in English, written and spoken (interviews willbe in English);
  • Strong problem-solving skills with an emphasis on productand service development;
  • Ability to work independently and solve technicalproblems with little supervision;
  • Excellent collaborator and communicator within theteam and with wider stakeholders across Arup offices;
  • A drive to learn and master new technologies andtechniques;
  • A passion and enthusiasm for developing highperformance and high-quality solutions;
  • Enthusiasm to work in an international and multifacedcompany as Arup;
  • Willingness to travel internationally on assignment.
  • Arup is an equalopportunity employer committed to a diverse and inclusive work environmentwhere our people are encouraged to thrive.

    Arup’s policy is to provide equal employment opportunity in all itsemployment practices without regard to race, color, religion, sex, nationalorigin, ancestry, marital status, protected veteran status, age, individualswith disabilities, sexual orientation or gender identity or expression.

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