Senior Data Scientist (UK)

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.

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.

Responsibilities

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.

Requirements

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:; Computer Vision,; Large Language Models (LLMs),; Time Series Analysis,; Experience with TensorFlow, PyTorch, XGBoost, LightGBM,; Proficiency with Git, Linux, Docker, MLflow, Airflow, AWS/GCP/Azure,; Solid SQL and data visualization skills.

Benefits

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,; Supportive, innovation-driven work environment focused on continuous learning and growth.