Data Scientist (UK)

Digica; Sale; Hybrid; GBP 50,000 - 80,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

Digica is seeking a passionate Data Scientist to design and deliver ML solutions end-to-end—from exploration and experimentation to deployment. You’ll work with diverse data and collaborate with clients and internal teams to translate results into actionable insights.

Responsibilities include designing CV/ML/AI models, selecting algorithms, integrating models into production, data cleaning and feature engineering, and rigorous validation; strong Python programming and cloud/on-prem deployment

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).
• 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.

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

Data analysis

Computer vision

Machine learning

Statistics

Model deployment

Python programming

SQL

Git

English fluency

Tools

Docker

MLflow

Airflow

AWS

GCP

Azure

Git

Job description

Company 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 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,

Qualifications

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.