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This role focuses on building the analytical foundation of the platform through Python based analytical constructs and computational logic that enable AI systems to interpret structured datasets and provide reliable, deterministic answers through an interactive interface. You will work closely with AI engineers to ensure analytical outputs integrate seamlessly into AI-driven reasoning and insight generation.
Job Responsibility:
Build foundational analytical constructs in Python
Develop reusable Python modules that transform structured datasets into analytical building blocks used across the platform
Design structured analytical artefacts for AI reasoning
Create structured analytical outputs that AI systems can reliably interpret
Enable deterministic answers through the AI interface
Develop analytical tools that allow the platform’s conversational interface to answer data questions reliably
Work with curated datasets from modern data platforms
Ensure analytical accuracy and traceability
Implement validation logic to ensure analytical outputs reconcile with underlying datasets
Design analytical outputs that maintain clear traceability
Requirements:
Extensive experience building production-grade Python systems that analyse structured datasets
Strong SQL skills for working with relational datasets (e.g., Databricks)
Experience building analytical computations such as aggregations, comparisons, trend analysis or variance analysis
Ability to design clear and reusable analytical code structures
Comfortable using Excel to articulate analytical concepts to business users
8+ Years of experience
Qualification: Any Degree
Nice to have:
Experience working with financial or insurance datasets
Familiarity with hierarchical or reporting datasets
Experience integrating with modern data platforms (e.g. Databricks, Snowflake, BigQuery)
Experience preparing structured data for machine learning or AI systems
Familiarity with causal discovery approaches or graph-based relationship modelling