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Niche actuarial-data role in Mumbai reduces applicant pool despite common data-scientist title.
Actuarial valuation and insurance-specific expertise limit transferability across industries.
Requires actuarial domain expertise plus Python, Databricks, and visualization skills, making screening moderately strict.
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Support and improve actuarial valuation processes through process mapping, documentation, and identification of automation opportunities.
Prepare and transform valuation input data using Python and Databricks; develop visualizations and dashboards with Databricks Apps and Power BI.
Collaborate cross-functionally with actuarial, finance, and technology teams in India and UK to drive valuation transformation, maintaining compliance with frameworks and controls.
Proficiency in Python and Databricks for data preparation and transformation.
Experience with visualization tools such as Power BI and Databricks Apps.
Ability to document actuarial methodologies, business rules, and data requirements clearly.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working in actuarial valuation or related financial data environments, with familiarity in automation and process re-engineering.
Comfortable working collaboratively across international teams and managing complex delivery risks and conflicts.
Able to use automation tools responsibly (e.g., GitHub Copilot) and continuously improve quality and efficiency of output in a structured and controlled environment.