Junior Data Scientist

Praha
Data
Automotive
Energy
Financial Services
Insurance
Technology:
AWS
Azure
Cloud
Docker
Kubernetes
Python
SQL
Contract type:
Full-time
Contract
Seniority:
Junior

Job description

The vision of our Data science team is to help business make the right strategic and operational decisions intelligently, using data and its power. We work with large clients in the financial sector, optimising processes at Škoda Auto. In addition to constantly looking for data insights and creating machine learning models, we solve a lot of optimization tasks.


The vision of our Data science team is to help business make the right strategic and operational decisions intelligently, using data and its power. We work with large clients in the financial sector, optimising processes at Škoda Auto. In addition to constantly looking for data insights and creating machine learning models, we solve a lot of optimization tasks.

Job description

  • Solving Data Science problems that will contribute to the current and future success of our clients, in the areas of Generative AI, Natural Language Processing, Recommender Systems, Audio and Image Processing and more
  • Design and development of Machine Learning models
  • Producing models into scalable AI solutions and deploying them into real-world operations
  • Collection, transformation and visualization of distributed datasets
  • Development and evolution of AI data products, both in client and R&D environments (prototyping, demo solutions)
  • Analysis, design and implementation of solutions at the customer's site

Required qualifications

We're interested in your background and your story, and we'd love to keep writing it with you. We're not looking at the number of titles, but what new things you've learned recently and what projects you're proud of.


  • Practical experience as a Data Scientist or similar position 
  • Knowledge of one or more of the following: mathematical analysis and modeling, probability, stochastic processes, econometrics, machine learning, optimization, simulation
  • Experience with data visualization tools (Plotly, Power BI)
  • Experience with data processing, data transformation and descriptive analysis
  • Knowledge of Python development 
  • Experience with ML/DL frameworks (TensorFlow/PyTorch) and libraries (scikit-learn) 
  • Analytical thinking with problem solving skills
  • University degree in computer science, mathematics or similar field
  • Active knowledge of the Czech or Slovak language is essential

A strong preference, but not a requirement:

  • Experience in application development with Monitoring, Build Tools, Version Control, Test-suites
  • Knowledge of PySpark platform and Databricks
  • Experience in managing ML artifacts and deploying ML models (TensorFlow Serving/FastAPI/Serverless deployment) 
  • Experience with Docker and Kubernetes on Azure/AWS/OpenShift 
  • Knowledge of full ML lifecycle management tools (MLflow)

What are we offering

  • A team of professionals who have a similar setup to you. They want to work independently while having the backing of a larger team. They can support each other.
  • Combined work from home and office
  • 5 weeks off and 3 sick days
  • Professional trainings and conferences, e-learning within Udemy and Pluralsight, online language courses
  • Benefits of your choice: multisport, pension, pharmacy purchases, tickets, experiences
  • High-quality technical equipment, business tariff

Advantageous skills

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We design and deliver cutting edge IT projects for enterprise innovators. Any size. End to end.

Your Future Manager:
Tomis Martin
Director
Department:
Data Warehouses | Data Science & Customer Intelligence
Expert Articles

Interested in this position?

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Our 5 stage recruitment process

Send us your CV or LinkedIn profile, and by the next business day, you’ll hear from us. Glide through the first interview and your future manager will be keen to meet you for a follow-up chat. Impress there, and an offer will be on the table before you know it. Yes, it's as straightforward as it sounds.

If your role is technical, we like to ensure a perfect fit with a simple test task. Consider it a sneak peek into the exciting challenges you'll tackle with us.

1

Submit your resume or LinkedIn profile, so we can meet you.

2

Begin our conversation with a call or e-mail.

3

First interview to discuss your potential and role.

4

Second interview with
a test task

5

If everything clicks, we give you a job offer.

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