Senior Data Scientist (UK)

Digica; Sale; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

International collaboration

Job summary

Digica, based in the United Kingdom, is seeking an experienced Data Scientist who will also act as a Technical Lead. You will design and deploy ML models end-to-end, from client discussions and solution design to production deployment, mentoring colleagues and shaping solution architecture.

Responsibilities include creating CV/ML/AI solutions, selecting algorithms, data cleaning, feature engineering, and communicating results to stakeholders.

Qualifications

• 6–8+ years in data analysis, modeling, CV or ML, incl. 4+ years as a Data Scientist.
• Hands-on experience deploying ML models to production.

Responsibilities

• Designing and implementing CV/ML/AI models (predictive, classification, LLM, recommendations).
• Selecting and optimizing algorithms (regression, tree-based models, neural networks).
• Integrating models into production environments.
• Data cleaning, feature engineering, and model validation.
• Identifying tools and defining processes.
• Mentoring junior team members and contributing to solution architecture.
• Presenting analytical results to business and technical stakeholders.

Skills

Python

Data analysis

Machine learning

English proficiency

ML deployment

Cloud platforms

Version control

Linux/Windows

Computer Vision

Time Series

LLMs

TensorFlow/PyTorch

XGBoost/LightGBM

SQL

Data visualization

Tools

Docker

Git

MLflow

Airflow

AWS

GCP

Azure

Hadoop

Spark

TensorFlow

PyTorch

XGBoost

LightGBM

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 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.

You will be responsible for:

• 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.

Qualifications

• 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.

Nice to have

• Proven experience leading projects and managing teams,
• Experience in presales, client workshops, or building Proof-of-Concepts (PoCs),
• Familiarity with Hadoop, Spark,
• Research or R&D background.

Soft Skills

• Ability to structure projects teams, make technical decisions, and own outcomes,
• Ability to manage multiple projects at the same time
• Proactive and self-driven approach, with strong organizational skills,
• Excellent presentation and communication skills,
• Business-oriented mindset – ability to translate insights into actionable recommendations,
• Mentoring attitude and willingness to support team growth.

What We Offer

• 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.