Marks Sattin
Data Scientist Practitioner
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist Practitioner in Financial Services, offering a contract length of "unknown" at a pay rate of "unknown." Key skills required include hands-on Machine Learning experience, proficiency in Amazon SageMaker, and Java.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
March 17, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Glasgow, Scotland, United Kingdom
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🧠 - Skills detailed
#Java #Oracle #Terraform #SageMaker #AI (Artificial Intelligence) #Data Science #Kubernetes #ML (Machine Learning) #Data Lake #Databricks
Role description
Data Scientist Practitioner – Financial Services
Join a high‑impact AI & Data team delivering production‑ready ML solutions for a leading global financial institution. This is a hands‑on role where you'll build, deploy, and optimise models that directly influence business decisions.
What You’ll Do
• Develop and productionise AI/ML models and decisioning frameworks.
• Evaluate model performance and demonstrate business value.
• Guide modelling approaches and contribute technical expertise.
• Work with engineering and data teams to integrate models into live systems.
• Mentor junior team members and promote best practice.
What You’ll Bring
Essential
• Strong hands‑on Machine Learning and Data Science experience.
• Proven track record delivering ML models for business use cases.
• Excellent communication and problem‑solving skills.
• Intermediate proficiency in: Amazon SageMaker
• Retrieval‑Augmented Generation (RAG)
• SDLC
• Model Context Protocol
• Hands‑on experience with Java
Nice to Have
Kubernetes, Terraform, Oracle DB, Data Lakes, Databricks, core AI concepts.
Data Scientist Practitioner – Financial Services
Join a high‑impact AI & Data team delivering production‑ready ML solutions for a leading global financial institution. This is a hands‑on role where you'll build, deploy, and optimise models that directly influence business decisions.
What You’ll Do
• Develop and productionise AI/ML models and decisioning frameworks.
• Evaluate model performance and demonstrate business value.
• Guide modelling approaches and contribute technical expertise.
• Work with engineering and data teams to integrate models into live systems.
• Mentor junior team members and promote best practice.
What You’ll Bring
Essential
• Strong hands‑on Machine Learning and Data Science experience.
• Proven track record delivering ML models for business use cases.
• Excellent communication and problem‑solving skills.
• Intermediate proficiency in: Amazon SageMaker
• Retrieval‑Augmented Generation (RAG)
• SDLC
• Model Context Protocol
• Hands‑on experience with Java
Nice to Have
Kubernetes, Terraform, Oracle DB, Data Lakes, Databricks, core AI concepts.
