Artefact

Data Scientist Intern (2024)

Jakarta, Jakarta, Indonesia · Work style not stated

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerArtefact
  • LocationJakarta, Jakarta, Indonesia
  • Work styleWork style not stated
  • Employer posted

Who we are

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

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Key responsibilities

As a Data Scientist Intern, your role will encompass:

  • Conducting ambitious projects in the transformation of clients through data
  • Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
  • Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department

Among your responsibilities as a Data Scientist Intern, you will be responsible for:

Performing data projects

  • Securing delivery on your projects
  • Communicating your work and achievements among the team
  • Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
  • Ensuring that your solutions are bringing values to the client problematic
  • Being a good team player, knowing your role and responsibility in the global ambition

Being a great tech person

  • Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
  • Researching and developing new technical approaches to address problems efficiently
  • Sharing best practices and contributing to Artefact’s institutional knowledge
  • Embodying Artefact’s values and inspiring others to do the same

What we are looking for

  • Currently pursuing a BA/BS or MA/MS in machine learning, mathematics, computer science, or related fields (computer science, statistics, engineering, economics, or a related field) from an accredited college or university.
  • 0-1 years of related experience supporting engineering, information technology or other technical operations. A first experience (internship, school project, Junior Entreprise, etc.) in consulting and/or data ecosystem would be a plus.
  • Good understanding of the digital and data ecosystem and its technologies: web analytics, programmatic, DMP, Datalake, dataviz, data science, etc.
  • Strong interest in marketing & business issues
  • Intellectual curiosity, along with on excellent problem-solving skill, including the ability to disaggregate issues, identify root causes and recommend solutions
  • A practical and analytical mind-set, you will be passionate about the creation of bespoke solutions for our clients
  • Continuously striving for high performance in all you do
  • Good Communication skills
  • Ideal candidates should be passionate about using business acumen along with big data and analytics to address real-world problems and drive significant change.

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At a glance

  • SeniorityIntern
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Machine learning

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