What You’ll Do:

• Combine math and statistics, specialised programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights.
• Leads on experimentation with and implementation of new data science techniques on internal/external customer projects.
• Apply advanced knowledge of Continuous Integration/Continuous Deployment methodologies to deploying and maintaining Machine Learning models reliably and efficiently in Production.
• Communicate project status, methods, obstacles, and results to wider technical teams and business stakeholders.
• Managing a small team of data scientists (2) across multiple time zones
• Lead data science team discussions, providing insight as needed on current approaches and methods

What will ensure your success in the Role:

• Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experience
• Proficient with machine learning models (Supervised; unsupervised; reinforcement) including the productionisation thereof.
• Proficient with coding in Python, PySpark
• Proficient with designing and building AI Systems (Decision Intelligence)
• Extensive experience working with the Databricks Data Intelligence Platform
• Proficient in researching, developing, synthesizing new algorithms and techniques.
• Excellent communication skills
• Extensive experience working in large international corporations.
• Participated in numerous data science projects.
• Utilized several data science methodologies.
• Have worked autonomously and delivered results on schedule.
• Have presented results to non-data scientist audience.
• Experience working under different project management frameworks (Waterfall; Agile)
• Mathematics and Statistics for Data Science

Preferred Education

• Bachelors

Preferred Level of Work Experience

• 7 – 10 years