Hybrid Data Scientist - AI/ML Solutions for Real Impact

Digica; Stretford; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Digica is seeking a passionate Data Scientist to solve real business problems with data and machine learning. You’ll design and deliver ML solutions end-to-end—from exploration and experimentation to deployment—and work with diverse data and cross-functional teams.

You’ll build CV/ML/AI models, select and optimize algorithms, integrate models into production, and translate insights for clients and internal stakeholders.

Qualifications

• 3+ years of experience in data analysis, computer vision, machine learning, or statistical modeling.
• Practical experience with ML model deployment (cloud or on-premise).
• Strong Python programming skills (NumPy, pandas, scikit-learn, 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.

Responsibilities

• 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.

Skills

Python

SQL

Git

ML deployment

Tools

Docker

MLflow

Airflow

AWS/GCP/Azure

Job description

Digica is seeking a passionate Data Scientist to solve real business problems with data and machine learning. You’ll design and deliver ML solutions end-to-end—from exploration and experimentation to deployment—and work with diverse data and cross-functional teams.

You’ll build CV/ML/AI models, select and optimize algorithms, integrate models into production, and translate insights for clients and internal stakeholders.