Data Scientist - Computer Vision Specialist

Digica Group

Manchester

On-site

GBP 55,000 - 85,000

Full time

14 days+

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Job summary

Digica Group is seeking a passionate Data Scientist with a focus on Computer Vision to design, prototype, and deploy ML solutions that solve real business problems. You will work across data engineering, model development, and client-facing teams to deliver end-to-end AI applications.

The role emphasizes experimentation, collaboration with international teams, and the ability to translate analytical results into actionable business insights.

Qualifications

  • 3–6 years of experience in data analysis, ML, or statistical modeling.
  • Strong Python skills: NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow.
  • Practical experience deploying ML models on cloud or on‑prem.
  • Good understanding of statistics and data preparation.
  • Working knowledge of SQL and Git.
  • Fluent English – for international communication and collaboration.

Responsibilities

  • Designing and developing ML/AI models (predictive, classification, recommendation, LLM-based).
  • Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.).
  • Performing data cleaning, feature engineering, and model validation.
  • Collaborating with clients and internal teams to translate analytical results into actionable insights.

Skills

Data analysis
Machine learning
Python
ML model deployment
Statistics
SQL
Git
Fluent English

Tools

Docker
MLflow
Airflow
AWS
GCP
Azure

Job description

Data Scientist - Computer Vision Specialist

Digica are AI and Software Experts delivering tomorrow's AI-powered technology today. We develop intelligent software across AI domains, focusing on Deep Learning in Computer Vision, object recognition, AI on the edge, and embedded AI systems.

Keywords: Machine Learning, Computer Vision, Artificial Intelligence, Data Science, Robotics.

We work with global companies and innovative start-ups in industries such as Defence, Medical, Agricultural and Telecoms. At Digica, we transform cutting-edge science into practical technology for a better tomorrow.

We’re looking for a passionate Data Scientist with experience in Computer Vision 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!

Responsibilities
  • Designing and developing ML/AI models (predictive, classification, recommendation, LLM-based).
  • Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.).
  • Performing data cleaning, feature engineering, and model validation.
  • Collaborating with clients and internal teams to translate analytical results into actionable insights.
Requirements
  • 3–6 years of experience in data analysis, machine learning, or statistical modeling.
  • Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, pytorch, PyTorch or TensorFlow).
  • Practical experience with ML model deployment (on cloud or on-premise).
  • 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 Computer Vision, 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).
  • Full-time position based in our office in Manchester.
  • Supportive, growth-oriented culture that values innovation.
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