Data Scientist

ZipRecruiter; Bath; On-site; GBP 50,000 - 75,000; Full time

Job summary

ZipRecruiter is searching for a Data Scientist to enhance their Microsoft Data & AI practice. This role involves developing AI solutions using Azure, designing secure architectures, and engaging with stakeholders to drive AI adoption. Ideal candidates will have significant experience in data science, proficiency in Azure tools, and the ability to deliver impactful ML solutions.

Benefits

Uncapped annual leave

Fitness Cash Contribution

Pension Contribution

Employee Assistance Programme

Enhanced Maternity & Paternity Leave

Life Assurance

Critical Illness and Income Protection

Birthday lunches

Fun Fund

Qualifications

• 3–5+ years of experience in data science or machine learning.
• Proficient in Python and Azure technologies.
• Experience with MLOps tools and Azure DevOps.

Responsibilities

• Develop machine learning models using Azure ML and Python.
• Implement CI/CD pipelines for ML models.
• Translate analytics into actionable business insights.

Skills

Machine Learning

AI Development

Data Analysis

Python

Azure

NLP

MLOps

Data Engineering

Stakeholder Engagement

Tools

Azure ML

Databricks

Power BI

Job description

Job Description

We're on the lookout for a Data Scientist to join our Microsoft Data & AI practice. You will be at the forefront of delivering impactful AI and Machine Learning solutions using the Microsoft Azure ecosystem.

You will design, develop, and deploy intelligent systems that empower clients to extract meaningful insights, automate processes, and achieve competitive advantage through AI innovation.

What You’ll Do:

• AI & ML Development – Build and deploy machine learning models using Azure ML, Python, and Databricks. Develop solutions for NLP, computer vision, predictive analytics, and recommendation systems.
• Solution Architecture – Design scalable, secure AI solutions using Azure Data Lake, Microsoft Fabric, and Databricks. Align AI strategies with business goals and collaborate across multidisciplinary teams.
• Data Engineering & Preparation – Cleanse, transform, and analyze large datasets to ensure high model performance. Perform feature engineering and exploratory data analysis (EDA).
• MLOps & Deployment – Implement CI/CD pipelines for ML models, ensuring reliable production deployments. Monitor model performance and integrate AI solutions with enterprise systems.
• Stakeholder Engagement – Translate complex analytics into actionable business insights. Communicate effectively with technical and non-technical stakeholders to drive AI adoption.
• Innovation & Leadership – Stay ahead of AI advancements within the Microsoft ecosystem. Mentor team members, contribute to knowledge-sharing initiatives, and lead data science projects to successful delivery.

What We’re Looking For:

• 3–5+ years of hands-on experience in data science, machine learning, or AI solution development.
• Proficient in using technologies within Microsoft Azure relating to Data & AI.
• Experience in Python for data science (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.).
• Knowledge of responsible AI practices, data ethics, and model interpretability tools.
• Experience with MLOps tools and Azure DevOps or GitHub Actions for ML model lifecycle.
• Familiarity with Power BI for visualizing and communicating insights.
• Proven track record of delivering AI/ML solutions in a business context using Microsoft tools.

What We Offer:

• Responsible Time off (uncapped annual leave)
• Fitness Cash Contribution
• Pension Contribution
• Employee Assistance Programme
• Enhanced Maternity & Paternity Leave
• Life Assurance, Critical Illness, and Income Protection.
• Birthday lunches, a Fun Fund, and more.

At Cloud Direct, we believe that , equity, and are essential to our success. We are committed to creating a workplace where everyone feels valued, respected, and empowered. We welcome applicants from all backgrounds and strive to build a team that reflects the diverse communities we serve. We encourage candidates of all races, ethnicities, genders, orientations, ages, abilities, and socioeconomic statuses to apply.

Thank you for taking the time to apply. While we would love to respond to everyone individually, due to the high volume of applications, we may only reach out to shortlisted candidates.

If you haven’t heard from us within 4 weeks, please consider your application unsuccessful this time—but we truly appreciate your interest and encourage you to apply for future opportunities with us!