The Associate Director, Data Science will be part of the AAIOps team, responsible for shaping a state-of-the-art ecosystem for data, analytics & AI roles within SCMAC. The individual will play a crucial part in operationalizing AI/ML models or other analytical pipeline at scale, ensuring efficient and reliable deployment across diverse environments.
Requirements
- Bachelor's/Master’s/PhD in computer science, information systems, engineering or data science
- Proficiency in Python and PySpark for both data processing and engineering tasks
- Knowledge of Azure DevOps (ADO)
- Understanding of machine learning concepts, model lifecycle management, model deployment processes.
- Experience in warehousing, ELT/ETL processes, SQL
- Problem solving and Analytical Thinking
- Familiarity with Analytics Platforms like Dataiku, Databricks
- Familiarity with Big data ecosystem and cloud computing
- Familiarity with cloud platforms like AWS, Azure, GCP
- Understanding of analytical and statistical methods
- Understanding of MLOps, LLMOPs pipelines
Benefits
- Competitive salary and benefits
- Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations
- Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days)
- Flexible working options based around home and office locations, with flexible working patterns
- Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits