AI Data Scientist

SoftwareOne

SoftwareOne is an industry leader in leveraging AI technology to create cutting-edge products and solutions. The AI Team explores the vast potential of AI and machine learning, fostering innovation and advancement within the field. This role is crucial for building robust data foundations essential for AI projects, influencing AI-driven solutions that tackle complex challenges.

In this role you can expect to have the responsibilities:

• Design and maintain scalable data pipelines with Databricks and Azure services.
• Perform feature engineering, report preparation, and machine learning tasks.
• Collaborate with data scientists and engineers to ensure high-quality data solutions.
• Work with the Data & Analytics Team on infrastructure and data ingestion.
• Ensure data accuracy and consistency across multiple sources.
• Optimize data workflows for performance and efficiency.
• Implement industry best practices for data security and privacy.
• Monitor and troubleshoot data pipelines to quickly resolve issues.
• Stay up-to-date with data engineering, AI, and technology trends.
• Document data processes for repeatability and compliance.

This role comes with the following benefits:

• Hybrid work model with an additional vacation day each month and educational days.
• Support for continuous learning and global language programs.
• Flexible environment accommodating various personal responsibilities.
• Performance-driven incentives with global high-potential events.

This role requires you to have:

• Proven experience in data engineering and pipeline development.
• Proficiency in Python, Java, or Scala, and large-scale data technologies like Hadoop, Spark, Kafka.
• Hands-on experience with Databricks, Azure AI Services, and cloud platforms such as AWS, Google Cloud, Azure.
• Strong command of SQL and NoSQL databases.
• Problem-solving skills suited for fast-paced environments.
• Excellent communication and teamwork abilities.

You would benefit from having:

• Experience with data visualization tools and techniques.
• Familiarity with machine learning frameworks and libraries.
• Understanding of data warehousing concepts and technologies.
• Experience in data governance and quality management.
• Relevant certifications in data engineering.

SoftwareOne is committed to equality and diversity, promoting a respectful environment regardless of background. Accommodations are available during recruitment, ensuring inclusivity as per GDPR guidelines.