Data Scientist

Queen Square Recruitment Ltd; England; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading recruitment agency is looking for an experienced Data Scientist to join a technology-driven transformation project in Wokingham, UK. This role requires building scalable ML models and deploying data-driven solutions. The ideal candidate should have over 10 years of experience and strong proficiency in Python, Azure ML, and Databricks. This position is office-based, contract for 6 months, and operates inside IR35.

Qualifications

• Strong proficiency in Python for data science and ML.
• Hands-on experience with Azure ML, ML Ops, and Databricks.
• Solid grasp of data modeling, statistics, and large-scale data management.
• Excellent problem-solving and stakeholder communication skills.
• 10+ years of relevant experience preferred.

Responsibilities

• Build and deploy advanced ML models using Python, Azure ML, and Databricks.
• Manage and optimise ML Ops pipelines within the Azure ecosystem.
• Perform deep data analysis, feature engineering, and model evaluation.
• Partner with business and engineering teams to deliver impactful data products.
• Ensure data quality, governance, and scalable architecture across datasets.
• Stay current with emerging technologies in AI, ML, and cloud platforms.

Skills

Python

Azure Machine Learning

ML Ops

Databricks

Data modeling

Statistics

Problem-solving

Stakeholder communication

Job description

Role : Data Scientist – Azure ML Ops & Databricks

Location : Wokingham, UK (Office-based, 5 days per week)

Type : Contract (Inside IR35, 6 months)

Rate : Market rates - INSIDE IR35

About the Role

We’re looking for an experienced Data Scientist to join a leading technology-driven transformation project. This role will suit someone who enjoys building scalable ML models and deploying data-driven solutions in a fast-paced, collaborative environment.

Key Responsibilities

• Build and deploy advanced ML models using Python, Azure ML, and Databricks.
• Manage and optimise ML Ops pipelines within the Azure ecosystem.
• Perform deep data analysis, feature engineering, and model evaluation.
• Partner with business and engineering teams to deliver impactful data products.
• Ensure data quality, governance, and scalable architecture across datasets.
• Stay current with emerging technologies in AI, ML, and cloud platforms.

What You’ll Need

• Strong proficiency in Python for data science and ML.
• Hands-on experience with Azure Machine Learning, ML Ops, and Databricks.
• Solid grasp of data modeling, statistics, and large-scale data management.
• Excellent problem-solving and stakeholder communication skills.
• 10+ years of relevant experience preferred