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 DescriptionWe’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!
You will be responsible for:
- Designing and developing CV/ML/AI models (predictive, classification, recommendation, LLM-based),
- Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.),
- Integrating models into production environments,
- Performing data cleaning, feature engineering, and model validation,
- Collaborating with clients and internal teams to translate analytical results into actionable insights,
We don’t expect you to know everything — but we’re looking for someone who has:
- 3 + years of experience in data analysis, computer vision, machine learning, or statistical modeling,
- Practical experience with ML model deployment (on cloud or on-premise),
- Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow),
- Understanding of Windows or Linux software development platforms
- 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 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),
- Hybrid working model – 3 days per week in the office, with the option to work remotely on the remaining days,
- Supportive, growth-oriented culture that values innovation.
Skills Required
- 3+ years of experience in data analysis, computer vision, machine learning, or statistical modeling
- Practical experience deploying machine learning models in cloud or on-premise environments
- Programming skills in Python, including NumPy, pandas, scikit-learn, matplotlib, PyTorch, or TensorFlow
- Understanding of Windows or Linux software development platforms
- Understanding of statistics and data preparation
- Working knowledge of SQL and Git or other version control tools
- Fluent English
- Experience with LLMs or time series
- Familiarity with Docker, MLflow, Airflow, AWS, GCP, or Azure
- Background in research or R&D
- Experience working in cross-functional or international teams
- Clear communication, teamwork, curiosity, problem-solving, proactive attitude, ownership, and ability to explain technical concepts to non-technical audiences
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?
