Senior Data Scientist (PL)

Digica Ltd.; Łódź; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

Digica Ltd. is seeking an experienced Data Scientist who will also act as a Technical Lead to guide projects from client discussions to production deployment of ML models.

You will design and implement CV/ML/AI models, select algorithms, integrate into production, mentor junior staff, and present results to stakeholders in an international, hybrid work setting with US and Europe clients.

Qualifications

• 6–8+ years in data analysis, statistics, computer vision or ML, incl. 4+ years as a Data Scientist.
• Hands-on experience deploying ML models to production.

Responsibilities

• Designing and implementing ML/AI models (predictive, classification, LLM, recommendations).
• Selecting and optimizing algorithms (regression, tree-based models, neural networks).
• Integrating models into production environments.
• Performing data cleaning, feature engineering, and model validation.
• Mentoring junior team members and contributing to solution architecture.
• Preparing and presenting analytical results to business and technical stakeholders.

Skills

Data analysis

Statistical modeling

Machine learning

Python

Data visualization

Leadership

Mentoring

English

Presentations

Problem solving

Tools

TensorFlow

PyTorch

XGBoost

LightGBM

SQL

Git

Linux

Docker

MLflow

Airflow

AWS

GCP

Azure

Job description

Digica is a company specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) methods in research and development projects for leading global clients. We work with partners in the defense, healthcare, and entertainment industries, building innovative AI-driven solutions that bridge the gap between research and production.

Our teams operate in an international environment, collaborating with customers from the US and Europe.

Job Description

We’re looking for an experienced Data Scientist who will also act as a Technical Lead.
We need someone who not only masters Data Science techniques but can also lead projects end-to-end – from initial client discussions and solution design to production deployment of ML models.

You will be responsible for:

• Designing and implementing CV/ML/AI models (predictive, classification, LLM, recommendation systems, etc.),
• Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.),
• Integrating models into production environments,
• Performing data cleaning, feature engineering, and model validation,
• Identifying tools and specifying processes
• Mentoring junior team members and contributing to solution architecture,
• Preparing and presenting analytical results to business and technical stakeholders.

Qualifications

• 6–8+ years of professional experience in data analysis, statistical modeling, computer vision or machine learning, including at least 4 years as a Data Scientist,
• Hands-on experience deploying ML models to production, not just research-level familiarity,
• Strong proficiency in Python (NumPy, pandas, scikit-learn, matplotlib, pytorch),
• Understanding of Windows or Linux software development platforms
• Excellent command of English – both written and spoken (international client communication, presentations),
• Expertise in at least one of the following domains:
• Experience with TensorFlow, PyTorch, XGBoost, LightGBM,
• Proficiency with Git, Linux, Docker, MLflow, Airflow, AWS/GCP/Azure,
• Solid SQL and data visualization skills.

Additional Information

Nice to have:

• Proven experience leading projects and managing teams,
• Experience in presales, client workshops, or building Proof-of-Concepts (PoCs),
• Familiarity with Hadoop, Spark,
• Research or R&D background.

Soft Skills

• Ability to structure projects teams, make technical decisions, and own outcomes,
• Ability to manage multiple projects at the same time
• Proactive and self-driven approach, with strong organizational skills,
• Excellent presentation and communication skills,
• Business-oriented mindset – ability to translate insights into actionable recommendations,
• Mentoring attitude and willingness to support team growth.

What We Offer

• Opportunity to work on cutting-edge AI and ML projects,
• Collaboration with international clients (US and Europe),
• Hybrid working model – 3 days per week in the office, with the option to work remotely on the remaining days,
• Choice of employment type
• Supportive, innovation-driven work environment focused on continuous learning and growth.