PH - Intern, Data Analytics Track

Taguig, Philippines

Thinking Machines Data Science

We are a data technology consultancy in Southeast Asia that builds enterprise cloud computing data platforms and AI/ML solutions for organizations.

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Working at Thinking Machines

Thinking Machines is a technology consultancy building AI & data platforms to solve high-impact problems for our clients. Our vision is for the Philippines to become a global hub for data science. To do that, we create data cultures, one organization at a time.


We’re a company composed of intellectually curious, civic-minded, forever-learning individuals. We believe great data science products are built with care for people and the best way to drive inclusive innovation is to start with a diverse team.


Our field of work is incredibly dynamic, so we want to work with people who are committed to growing with us. We want to hire people who can demonstrate an ability to learn, then provide them with personalized coaching, growth opportunities, and a great working environment to get them to world-class.

Role Description

This intern position is a great opportunity for Filipino college students looking for an immersive internship or fresh graduates and career shifters just starting in the data science industry. Build your skills in creating visually appealing dashboards and data processing.


This year, we're looking for interns who are ready to learn, get hands-on experience, receive mentorship from a member of our team, and work in a remote-first setup. We will match your background and skills to one of the following teams you can potentially become a part of:



  •  Conduct exploratory data analysis, data processing, and data visualization (e.g. charts, dashboards) that will help stakeholders understand their data with our Business Intelligence Team
  • Contribute to geolocation-specific projects ranging from sustainability to corporate projects by analyzing data, creating visualizations, and problem-solving with our Geospatial Team

We're looking for individuals who:


  • Are university students (3rd year and above) or fresh graduates (batch 2024) from courses such as Management/Management Engineering, Business Administration, Marketing, Information Design, Environmental Science, Decision Science or similar fields
  • Are career shifters from other fields and new to data science and tech consultancy
  • Can commit to a full-time (40 hours per week), fully-paid, and remote-first internship for 10 weeks 
  • Can show a track record of being able to work hard, solve problems, learn independently, do quality work, and communicate effectively
  • Have understanding of basic data wrangling and manipulation (ideally using SQL)
  • Have data visualization, analysis, and design foundations
  • Have communication and presentation experience

Qualifications


This intern track is for you if you have any (but not necessarily all) of the following skills:


  • Working knowledge of programming, especially with Python
  • Data Visualization, Analysis, and Design foundations
  • SQL (BigQuery)
  • Presentation Skills
  • Interest in Geospatial Data Science

Bonus Points if you have experience/interest in the following:


  • Data Visualization tools (Tableau, Power BI, Metabase, or Looker Studio) 
  • Machine Learning (creating models, feature engineering, model experimentation)
  • Experience in any of the following geospatial fields: remote sensing, meteorology/climatology, urban planning, cartography, geographic information systems, environmental management, agriculture, and other related fields

Logistics

  • 10 weeks starting June 10, 2024
  • Paid internship
  • Full-time, remote-first work

Send in your resume and fill out the form below to kickstart your application!


Deadline of Application is on April 5, 2024, 11:59 PM.


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Tags: BigQuery Business Intelligence Data analysis Data Analytics Data visualization EDA Engineering Feature engineering Looker Machine Learning Metabase Power BI Python SQL Tableau

Perks/benefits: Career development Startup environment

Region: Asia/Pacific
Country: Philippines
Job stats:  15  2  0
Category: Analyst Jobs

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