AI and Data Science Consultant

2 weeks ago


Kraków Wrocław Warszawa, Czech Republic Unit8 SA Full time

About You

We are seeking a highly skilled AI and Data Science Consultant to join our team at Unit8 SA.

  • Must have an MSc level in Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience.
  • A proficient software engineer with strong fundamentals in computer science and experience applying software engineering, machine learning, and statistical methods to solve real-world business problems.
  • Proficient in programming languages such as Python, R, Scala, Java.
  • Experience with cloud technologies is a significant advantage.

Purpose of the Role:

This role will involve working closely with our customers to understand their challenges and design solutions using cutting-edge data science and AI techniques. The ideal candidate will be able to implement solutions using various tools and technologies including but not limited to AWS, GCP, Azure, PySpark, Docker, etc.

  • Evaluate and compare results, presenting them to technical and non-technical audiences.
  • Closely collaborate with other data scientists, software engineers, and business stakeholders.
  • Adhere to software best practices in continuous integration and delivery, versioning, and data evolution.
What We Offer
  • Data Engineering
  • Team player
  • Problem solving
  • Distributed Systems
  • Data Modeling
  • Hadoop
  • Python
  • SQL
  • Storage
  • Client-facing
  • AWS
  • Kafka
  • Docker
  • Amazon Web Services
  • Data engineering
  • Git
  • Airflow
  • GCP
  • Azure
  • Databricks
  • Java
  • Scala
  • LLM
  • GenAI
  • Artificial Intelligence
  • Jira
  • Github
  • Agile
  • Scrum
  • Kanban

Additionally, you will benefit from a sport subscription, training budget, international projects, mentoring program, friendly atmosphere, team budget on entertainment, team building events, internal trainings/meetups, internal tech talks, masterclazz training, internal webinars, flat structure, small teams, flexible hours, home office, startup atmosphere, no dress code, free coffee, free snacks, in-house trainings, modern office.



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