Data Scientist

“Are you ready to transform Data into Intelligence?”

As a Data Scientist within the 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:

• Technical Expertise
• 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.
• Strong 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 diversity, equity, and inclusion 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, sexual 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!