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Data Scientist

Data Scientist

Type of work
Employment Type
Operating mode


W Accenture wspieramy naszych globalnych klientów w zmianach technologicznych. Naszą największą satysfakcją jest widzieć dookoła rozwiązania Accenture, które napędzają nowoczesny biznes. Innowacje to nie jest temat jutra – to my wdrażamy je w życie!

Company profile

Tech stack

    Machine Learning

Job description

Online interview

About the company:

Welcome to Platform Engineering, the cool tech hub nestled within Accenture Technology! 🚀 We're all about dreaming big, coding cool stuff, and making waves in the digital world. From building sleek platforms that power tomorrow's innovations to geeking out over the latest tech trends, we're a tight-knit team of problem solvers, creators, and all-around tech enthusiasts. If you're ready to dive into exciting projects, collaborate with awesome people, and push the boundaries of what's possible, come join us on this epic journey of tech wizardry!

👉 About the role:

We are looking for a data scientist with experience in Natural Language Processing and generative AI. A good candidate doesn't necessarily need to be an expert in the aforementioned areas, but she/he should be willing to dive deeper if the project requires. As a service company, we work with clients from different areas, including logistics, recruitment, manufacturing, public sector, healthcare, aerospace engineering etc.

🏠 Location: Working from home or at the Gdańsk/Wrocław office.

👍 Your role:

  • Delivering machine learning solutions that match client requirements
  • Working with business/IT users from various domains to define the problems that need solving - starting from identifying whether data science is likely to bring value to the customer
  • Data pre-processing; data can be structured or unstructured
  • Finding optimal analytical models to solve the problem
  • Identifying information gaps and looking for other data sets to fill in the blanks - including recognizing data quality issues and addressing them (either by cleaning the data or proposing the process changes)
  • Visualizing and presenting the conclusions to business/IT users in a clear, understandable way, so that the users can see the benefit of it
  • Implementing your solutions as part of complete software packages

👀 You are the one if you have:

  • Master's degree in Mathematics, Physics, Computer Science, Economics or similar - with strong knowledge of statistics
  • Can code in Python and SQL
  • Working knowledge of machine learning algorithms related to GenAI, prompting, natural language processing
  • Knowledge on how optimize and validate machine learning models in production environments
  • Participated in machine learning related projects end-to-end
  • Ability to see the story behind the data, to recognize important issues and to visualize them in an attractive way
  • Ability to communicate fluently in English (at least C1 level, both spoken and in writing)
  • Attention to details, inquisitive mindset and self-reliance
  • The will to investigate new areas of data science and participate in various projects

🎯 Why is it worth joining us:

  • You will join an important, rapidly growing Data and AI Team with a lot going on inside! Various clients, different projects of different complexity in different domains. You will not get bored easily.
  • We do understand that IT is a "people" business, and it is not the technology alone that solves problems; it is also about the people with the right attitude and mindset.
  • You have an impact on improving the Client's business, as well as winning new business for the company.
  • You will cooperate with experts in various fields, solving interesting challenges on a daily basis - not just once in a while.
  • We welcome out-of-the box thinking and creativity, and we embrace the culture of knowledge sharing.
  • We have an organisational culture based on knowledge-sharing.
  • We have wide range of infrastructure types: AWS, Azure, Google, IBM, on-premises.
  • Both R&D and maintenance projects on board.
  • Diversified projects: shorter and longer, different when it comes to infrastructure and customized.
  • Employment based on an employment contract or B2B*.
  • Remote work and flexible working hours.
  • Private medical care and life insurance.
  • Access to the MyBenefit platform (the possibility of using a wide range of products and services, including the Multisport card). 
  • Employee Assistance Program - free support in legal, financial, and psychological consultations
  • Individual support in career development.
  • A broad learning package (soft and technical training offer, access to the e-learning platform, possibility of co-financing courses and certification).
  • Additional foreign language classes.
  • Paid employee referral program and Employee Share Purchase Plan.

Only employers are entitled to use the benefits offered by the company.


🟢 Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law.