Adroit People Limited (UK)

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist specializing in Azure ML Ops and Databricks, offering a 6-month contract in Wokingham, UK. Key skills required include Python, machine learning, and cloud solutions. The position involves hybrid work: 3 days onsite, 2 days remote.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 8, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Wokingham, England, United Kingdom
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🧠 - Skills detailed
#Azure #Cloud #Data Analysis #Data Science #ML Ops (Machine Learning Operations) #Scala #Databricks #Monitoring #Azure Machine Learning #Data Processing #Deployment #ML (Machine Learning) #Data Governance #Python #Data Quality
Role description
Greetings We are Hiring Data Scientist - Azure ML Ops & Databricks position in Wokingham, UK Hybrid Model 3 days onsite 2 days remote work Contract Job Title: Data Scientist - Azure ML Ops & Databricks No. of open positions: 4 Job Summary: We are seeking a skilled Data Scientist with strong expertise in Python to join our team. The role involves managing Azure ML Ops, large data modelling, and leveraging the Databricks platform. The ideal candidate will have a robust background in data science, machine learning, and cloud-based solutions to drive data-driven decision-making and innovation within our portfolio. Key Responsibilities: • Utilise Python for advanced data analysis, exploration, and processing to uncover insights and trends. • Develop and implement machine learning models and algorithms using Python, Azure Machine Learning, and Databricks. • Manage and optimise ML Ops processes within the Azure environment, ensuring efficient deployment, monitoring, and maintenance of models. • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. • Develop and maintain large-scale data models to support analytics and reporting needs. • Utilise Databricks for advanced data processing and analytics, ensuring scalability and performance. • Ensure data quality and integrity through effective data governance and validation processes. • Stay updated with the latest advancements in data science, machine learning, and cloud technologies to ensure best practices are applied.