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You will be updated with latest job alerts via emailLocation: 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 worlds 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 G2s 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. Its 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 TechCrunchs 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 youre 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
You are the perfect fit if you:
Are a final-year student or recently graduated in: Computer Science Data Science Mathematics Statistics or related fields
Have basic knowledge of SQL and relational databases
Have basic programming skills in Python or another language used in data engineering and analysis
Analytical thinking and the ability to collaborate with a team
Drive for self-development and willingness to develop further in the Data area
Ability to speak English freely
Recruitment process:
Short screening call with the Recruiter (30/40 min)
Interview with the Hiring Manager (1h)
Offer and fireworks
Dont hesitate and apply right away!
Diversity Statement
One of Tidios core values is to play fair. Therefore we treat all candidates equally. We do not discriminate based on race religion color national origin gender sexual orientation age marital status or disability status. This means recruitment and selection of talent to Tidio is only based on individual merit and qualifications directly related to professional competence.
We now rate at 4.5/5
85% recommend us to a friend
Your application has been successfully submitted!
Required Experience:
Intern
Intern