Senior Data Scientist & Tech Lead - Production ML, Hybrid

Digica

Sale

Hybrid

GBP 70,000 - 120,000

Full time

10 days ago
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Benefits offered by this job

Hybrid working model
International client collaboration
Cutting-edge AI/ML projects
Continuous learning environment

Job summary

Digica is seeking an experienced Data Scientist who will also act as a Technical Lead to design, implement, and deploy AI/ML solutions for global clients. You will guide projects end-to-end from client discussions to production deployment, mentor junior team members, and contribute to overall solution architecture.

The role requires 6–8+ years in data analysis or ML, deep Python expertise, and hands-on production experience across CV/ML/LLMs with cloud and container tools.

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.

Responsibilities

  • 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.

Skills

Data Scientist
Python
Git
Linux
Docker
SQL
PyTorch
NumPy
Pandas
scikit-learn
MLOps
Presentation

Tools

TensorFlow
PyTorch
XGBoost
LightGBM
Git
Linux
Docker
MLflow
Airflow
AWS
GCP
Azure
SQL
Data Visualization

Job description

Digica is seeking an experienced Data Scientist who will also act as a Technical Lead to design, implement, and deploy AI/ML solutions for global clients. You will guide projects end-to-end from client discussions to production deployment, mentor junior team members, and contribute to overall solution architecture.

The role requires 6–8+ years in data analysis or ML, deep Python expertise, and hands-on production experience across CV/ML/LLMs with cloud and container tools.

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