Job Search and Career Advice Platform

Enable job alerts via email!

Data Scientist

Digica

Łódź

Hybrid

PLN 70,000 - 100,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading AI and Software firm in Poland seeks a passionate Data Scientist to develop machine learning solutions from conception to deployment. The ideal candidate has 3-6 years of experience in data analysis and machine learning, along with strong programming skills in Python. The position offers a hybrid working model and exciting projects that have real-world impact, emphasizing collaboration with international clients.

Benefits

Exciting projects in AI and ML with real-world impact
Flexible work setup (hybrid / partial remote)
Supportive, growth-oriented culture

Qualifications

  • 3-6 years of experience in data analysis, machine learning, or statistical modeling.
  • Solid programming skills in Python with various libraries.
  • Practical experience with ML model deployment on cloud or on-premise.

Responsibilities

  • Designing and developing ML/AI models like predictive or classification.
  • Selecting and optimizing algorithms according to the project needs.
  • Collaborating with clients and teams to derive actionable insights.

Skills

Data Analysis
Machine Learning
Statistical Modeling
Python
SQL
English proficiency

Tools

NumPy
pandas
scikit-learn
PyTorch
TensorFlow
Job description
Company Description

Digica are AI and Software Experts delivering tomorrow's AI-powered technology today. We develop intelligent software across AI domains, focusing on Deep Learning in Computer Vision, object recognition, AI on the edge, and embedded AI systems.

Keywords: Machine Learning, Artificial Intelligence, Data Science, Robotics.

We work with global companies and innovative start-ups in industries such as Defence, Medical, Agricultural and Telecoms. At Digica, we transform cutting-edge science into practical technology for a better tomorrow.

Job Description

We’re looking for a passionate Data Scientist who enjoys solving real business problems with data and machine learning. You’ll take part in designing and delivering ML solutions end-to-end — from exploration and experimentation to deployment. If you like working with diverse data, collaborating with others, and seeing your models used in production, we’d love to meet you!

Responsibilities
  • Designing and developing ML/AI models (predictive, classification, recommendation, LLM-based)
  • Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.)
  • Performing data cleaning, feature engineering, and model validation
  • Collaborating with clients and internal teams to translate analytical results into actionable insights
Requirements
  • 3–6 years of experience in data analysis, machine learning, or statistical modeling
  • Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, pytorch, PyTorch or TensorFlow)
  • Practical experience with ML model deployment (on cloud or on-premise)
  • Good understanding of statistics and data preparation
  • Working knowledge of SQL and version control tools (Git)
  • Fluent English – for international communication and collaboration
Nice to have
  • Experience with Computer Vision, LLMs, or Time Series
  • Familiarity with tools like Docker, MLflow, Airflow, AWS/GCP/Azure
  • Background in research or R&D
  • Experience working in cross-functional or international teams
Soft Skills
  • Curiosity and problem-solving mindset
  • Clear communication and teamwork
  • Proactive attitude and sense of ownership
  • Ability to explain technical concepts to non-technical audiences
What We Offer
  • Exciting projects in AI and ML with real-world impact
  • Collaboration with international clients (US and Europe)
  • Flexible work setup (hybrid / partial remote)
  • Choice of employment type (B2B or Employment Contract)
  • Supportive, growth-oriented culture that values innovation
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.