Data Scientist / Machine Learning Engineer - all levels

Posted 8 Days Ago
Be an Early Applicant
Łódź, Łódzkie
In-Office
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Software
The Role
Join Digica as a Data Scientist to work on AI and Machine Learning projects, leveraging large datasets to provide insights for clients. Required skills include proficiency in Python and knowledge of ML algorithms.
Summary Generated by Built In
Company Description

Digica are AI and Software Experts delivering tomorrow's AI-powered technology today.

Our team research, implement and commercialise intelligent software across the AI spectrum with specific focus on Deep Learning in Computer Vision (including non-visible spectra), as well as objects recognition and classification, AI on the edge and AI in embedded systems. The keywords of Digica are Machine Learning, Artificial Intelligence, Data Science and Robotics. 

We work with global companies and innovative start-ups across many industries including Defence, Medical and Telecoms. In Digica we are pushing the line where science becomes technology for the benefit of better tomorrow for all of us.  

Job Description

Digica are searching for a highly-skilled Data Scientist to join our fast growing team. As a member of this team, you’ll be working on various projects from Artificial Intelligence and Machine Learning areas. The work may also include large (Big Data) data sets used to providing data-driven insights to help our customers based on the West Coast of USA and Europe. This is a full-time position based in our office in Łódź (hybrid work).

Qualifications

  • Proficiency and broad experience in programming in Python
  • Working knowledge of NumPy, pandas, scikit-learn and one of the following: TensorFlow, Keras, PyTorch
  • Working knowledge of a variety of currently used Machine Learning algorithms, including XGBoost, neural networks (dense, CNN, RNN), PCA, etc.
  • Good applied statistics skills with understanding of distributions, statistical testing, regression etc.
  • Data visualisation skills, using eg. Matplotlib
  • Experience in Computer Vision will be an asset
  • Working knowledge of Git, SQL and GNU Linux
  • Experience in other programming languages will be an asset eg. R, Java, C/C++
  • Experience in tools for big data processing will be an asset eg. Hadoop and/or Spark
  • Problem-solving attitude
  • Exposure to research
  • Fluency in English language - the majority of our customers do not speak Polish

Additional Information

Description
The Data Science team cooperates with different customers’ representatives, including business analysts, engineers, marketers, and product teams. Ideal candidates will need to have a good knowledge of statistics and machine learning algorithms, experience working with large datasets, and ability to communicate effectively with non-technical audiences.

Education
Ph.D. or Masters in Math, Computer Science, or equivalent professional experience.

What we offer / Who we are

  • We are a company specializing in applying Artificial Intelligence methods for big tech companies
  • All our projects include research and development of new products - we are doing things no one has done before
  • Our customers are mostly from Defense, Medical and Entertainment domains
  • We are focused on developing people and supporting their curiosity
  • We offer staff participation in internally developed AI Academy run by the most experienced of our employees
  • Full-time position based in our office in Łódź, part time remote work is possible. You can choose the form of employment according to your choice (B2B, employment or ordered work contracts)

Top Skills

C/C++
Git
Gnu Linux
Hadoop
Java
Keras
Numpy
Pandas
Python
PyTorch
R
Scikit-Learn
Spark
SQL
TensorFlow
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The Company
HQ: Manchester
50 Employees
Year Founded: 2009

What We Do

85% of AI pilots die in PowerPoint. Digica exists for the other 15%, where algorithms meet atoms and theory meets Thursday’s target. We build AI forged in production, proven under pressure, deployed where failure costs lives and livelihoods.

What makes us different:
We don't transform operations - we fortify them. We don't replace your workforce - we amplify them. While others promise perfect conditions, we specialise in making AI work with legacy equipment, sparse data, and real-world constraints.

Where we operate:
Manufacturing floors facing 2.1 million unfilled jobs. Combat zones where $500 drones defeat $5M systems. Anywhere operations matter more than innovation theatre.

Our track record:
300+ deployments across manufacturing and defence. Zero still in PowerPoint. From predictive maintenance preventing $47,000/hour downtime to radar systems operational in Ukraine today.

Who we serve:
Operations directors who need Thursday's results, not next year's promises. Programme managers deploying in 90 days because threats evolve in 30. Engineers who know constraints aren't limitations - they're competitive advantages.

Ready to join the 15% Club?

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