Data Scientist

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, Computer Vision, 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!

Qualifications

Your responsibilities will include:

• 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

We don’t expect you to know everything — but we’re looking for someone who has:

• 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.

Additional Information

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,