KBC Technologies Group
Data Science Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Architect with a contract length of "unknown," offering a pay rate of "unknown." Requires 6+ years in data science, expertise in MLOps, and proficiency in Python, R, SQL, and relevant frameworks.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 6, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#SQL (Structured Query Language) #Azure #Leadership #MLflow #AI (Artificial Intelligence) #TensorFlow #SageMaker #PyTorch #R #Python #Data Science #ML (Machine Learning)
Role description
Qualifications:
• 6+ years of experience in applied data science, machine learning, or analytics leadership.
• Strong understanding of model lifecycle management, experimentation frameworks, and data science governance.
• Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML).
• Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Proven ability to assess or design organizational processes for data science delivery and model management.
• Excellent analytical and communication skills, with the ability to synthesize technical observations into actionable business recommendations.
Qualifications:
• 6+ years of experience in applied data science, machine learning, or analytics leadership.
• Strong understanding of model lifecycle management, experimentation frameworks, and data science governance.
• Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML).
• Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Proven ability to assess or design organizational processes for data science delivery and model management.
• Excellent analytical and communication skills, with the ability to synthesize technical observations into actionable business recommendations.
