

Gazelle Global
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist on a 6–12 month contract, offering a strong day rate. Key skills include 3–5+ years of experience in data science, proficiency in Python, SQL, and Azure, and expertise in ML and AI solutions.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 21, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
West Midlands, England, United Kingdom
-
🧠 - Skills detailed
#Monitoring #Cloud #NLP (Natural Language Processing) #Deployment #Python #Databricks #Kubernetes #ML (Machine Learning) #Data Science #AI (Artificial Intelligence) #Docker #MLflow #Azure #SQL (Structured Query Language) #Statistics #Data Quality #BI (Business Intelligence) #Deep Learning #Scala #Forecasting #Model Evaluation #Microsoft Power BI
Role description
Senior Data Scientist | AI & ML | Contract (6–12 months)
Drive real impact by turning complex data into intelligent, deployable solutions. This role sits at the sharp end of AI adoption, owning delivery from concept to production in a cloud-first environment. Strong day rate on offer.
What you’ll do
• Lead end-to-end data science projects from ideation to deployment
• Build and scale ML, AI and LLM-driven solutions including chatbots
• Develop models on Azure ML / Databricks with production-grade standards
• Own MLOps lifecycle: monitoring, retraining, optimisation
• Ensure explainability, governance and regulatory alignment
• Collaborate with engineering on scalable pipelines and data quality
• Drive best practice across code, CI/CD, and model versioning
• Translate complex outputs into clear business insights
What you bring
• 3–5+ years in Data Science with proven delivery track record
• Strong Python, SQL and ML stack across NLP, forecasting, deep learning
• Experience with Azure, Docker, Kubernetes, MLflow
• Solid grounding in statistics, experimentation and model evaluation
• Ability to build narratives via Power BI and influence stakeholders
For more information and direct contact with me, please send me an email and call only if required. I will be sure to check responses daily and shortlist the best candidates; if you are shortlisted, you will hear from me.
Senior Data Scientist | AI & ML | Contract (6–12 months)
Drive real impact by turning complex data into intelligent, deployable solutions. This role sits at the sharp end of AI adoption, owning delivery from concept to production in a cloud-first environment. Strong day rate on offer.
What you’ll do
• Lead end-to-end data science projects from ideation to deployment
• Build and scale ML, AI and LLM-driven solutions including chatbots
• Develop models on Azure ML / Databricks with production-grade standards
• Own MLOps lifecycle: monitoring, retraining, optimisation
• Ensure explainability, governance and regulatory alignment
• Collaborate with engineering on scalable pipelines and data quality
• Drive best practice across code, CI/CD, and model versioning
• Translate complex outputs into clear business insights
What you bring
• 3–5+ years in Data Science with proven delivery track record
• Strong Python, SQL and ML stack across NLP, forecasting, deep learning
• Experience with Azure, Docker, Kubernetes, MLflow
• Solid grounding in statistics, experimentation and model evaluation
• Ability to build narratives via Power BI and influence stakeholders
For more information and direct contact with me, please send me an email and call only if required. I will be sure to check responses daily and shortlist the best candidates; if you are shortlisted, you will hear from me.






