Data Intern

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Currently pursuing a degree in Data Science, Computer Science, or a related field., Familiarity with data analytics, data engineering, and machine learning concepts., Basic knowledge of SQL and experience with data manipulation tools., Strong analytical skills and a passion for working with data..

Key responsibilities:

  • Assist in the design and implementation of data pipelines (ETL/ELT).
  • Prepare data sets for analysis and machine learning models.
  • Implement machine learning algorithms and validate their results.
  • Optimize SQL queries and contribute to documentation and code reviews.

Tidio logo
Tidio Information Technology & Services SME https://www.tidio.com/
51 - 200 Employees
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Job description

Location: Poland, remotely

Salary: the national minimum wage

Duration: 3 months, from the beginning of July to the end of September

We are a fast-growing tech company created by experienced international talents. Our product is a top-rated online platform for small and medium businesses to grow sales through outstanding customer service. Our goal is to create a frictionless customer experience for individual users and, at the same time, help entrepreneurs worldwide grow their businesses by giving them access to a top-notch AI-driven tool.

Working at Tidio means impacting thousands of companies and millions of their users. But our clients are not the only ones who can grow with us. By joining Tidio, you can grow, too!

A few facts about us:

  • Our product is one of the world's leading AI customer service solutions, and our goal is to become no. 1.

  • We are among the Top 50 AI and Customer Service Products in G2’s Best Software Awards 2024.

  • We currently rate at 4.7/5 in both Shopify and G2.

  • The new Tidio AI feature (Lyro) answers up to 70% of customers’ questions in seconds and is available to users even on a free plan. It’s a real AI revolution! 🚀🤖

  • Every month, our widget is viewed by 350 million unique users, which is 4% of the global population.

  • Currently, we hire over 130 fantastic people.

  • In March 2022 we secured $25 mln in a Series B Investment round (read 👉 TechCrunch’s article to learn more)

  • In June 2023, our monthly MRR exceeded $1M.

Would you like to see what working with us looks like? Check out our #GrowWithTidio video👇

Grow with Us:

We are looking for four passionate Data Interns to learn from our experienced Data Team and embark on a fulfilling journey with us. We work with many intriguing aspects of data analytics, data engineering, and machine learning, and you can explore areas that resonate with your interests.

We want to offer you:

  • Paid internship (national minimum wage)

  • Realistic project challenges 🚀 in the two main areas, together with the opportunity to implement them:

    • Machine Learning (e.g. anomaly detection in operational data, user churn prediction or customer segmentation)

    • Data Engineering (optimisation of ETL processes and improvement of the data infrastructure through storage, processing, and monitoring)

  • Support from an experienced Buddy 👨🏼‍💻 and close collaboration with the Data team members (Data Analysts, Data Engineers)

  • Flexible time ⏰ to complete the projects and the possibility to do so remotely – you’re free to decide when and where to carry out your tasks.

  • Access to training and internal workshops 📚

  • The internship may open the door to future cooperation 😎, depending on mutual interest and opportunities

Examples of initiatives that are waiting for you:

  • Design and implementation of data pipelines (ETL/ELT)

  • Preparation of data sets for analysis and ML models

  • Implementation of machine learning algorithms and validation of their results

  • Optimisation of SQL queries and data warehouse structures

  • Documentation of solutions and participation in code review

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Time Management
  • Collaboration
  • Problem Solving

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