Data Scientist (UK)

Digica Ltd.; Sale; Hybrid; GBP 55,000 - 90,000; Full time

Benefits offered by this job

Hybrid working model

International collaboration

Job summary

Digica seeks a passionate Data Scientist to solve real business problems using data and machine learning. You will design and deliver end-to-end ML solutions from exploration to deployment, turning insights into production-ready models for international clients.

You will collaborate with diverse teams, handle data cleaning, feature engineering, and model validation, and contribute to cross-functional projects across US and Europe.

Qualifications

• 3+ years of experience in data analysis, computer vision, ML, or statistical modeling.
• Practical experience deploying ML models to production (cloud or on‑premise).

Responsibilities

• Designing and developing CV/ML/AI models (predictive, classification, recommendation, LLM-based).

Skills

Python

ML deployment

Data analysis

Computer vision

Statistical modeling

SQL

Git

Fluent English

PyTorch

TensorFlow

NumPy

Pandas

Tools

Docker

MLflow

Airflow

AWS

GCP

Azure

Keras

Job 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.

Additional Information

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.