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Intern Data Scientist Brazil

Avenida das Nações Unidas, 12901, 11° andar São Paulo

Open 4 months, first seen by us 133 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Internship — employment source
Employment type in the employer’s posting: Internship
From the employer’s posting

Before you apply

New graduates
For current studentsCurrently 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

What you’ll work on

Full posting
  • Run data science projects that transform clients' marketing through data

  • Work with the Activation, Creativity and Strategy divisions on client services

  • Build and maintain client relationships alongside your consulting counterpart

  • Research and develop new technical approaches to solve problems efficiently

  • Share your work and best practices with the team

From the employer’s posting
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
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients
Researching and developing new technical approaches to address problems efficiently
Communicating your work and achievements among the team

What you’ll bring

All qualifications

Core experience

  • 0-1 years of related experience supporting engineering, information technology or other technical operations.
  • Good Communication skills
  • Good understanding of the digital and data ecosystem and its technologies: web analytics, programmatic, DMP, Datalake, dataviz, data science, etc.
Qualification wording
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 Communication skills
Good understanding of the digital and data ecosystem and its technologies: web analytics, programmatic, DMP, Datalake, dataviz, data science, etc.
Education & alternatives
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.

About LinkedIn Job Wrapping

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.

In the employer’s words · Read in context

Posting record

Report an error

Open 4 monthsWe first saw this posting 133 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 25, 2026133 days ago
Recorded sightings
96
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 133

Up longer than most. Similar jobs usually come down between day 7 and day 56.

Well past LinkedIn Job Wrapping’s usual: its jobs come down by about day 62.

From 10,201 similar postings that came down, and 19 of LinkedIn Job Wrapping’s. Coming down is not always a hire.

LinkedIn Job Wrapping is hiring

24 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Its jobs tend to stay up a long time
Hiring record

Your next step

Check the employer’s posting for the current role and application details.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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 300+ internation brands around the globe.

We have 800+ employees across 16 offices in 13 countries 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.

What you will be doing

You will join our Data Marketing Consulting team which helps clients transform and improve their marketing strategy by applying advanced analytics to generate value-creating insights from big data and artificial intelligence.

 

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.

 

Why you should join us

  • Artefact is the place to be: come and build the future of marketing
  • Progress: every day offers new challenges and new opportunities to learn
  • Culture: join the best team you could ever imagine
  • Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

 

Come join us!

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Pay

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Location & working pattern

Avenida das Nações Unidas, 12901, 11° andar São Paulo

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