Senior Manager - Data Scientist

Overview

Senior Manager - Data Scientist in the Methodology & Assumption (M&A) Actuarial Policyholder Data Team within the Actuarial Modelling & Valuation Centre of Excellence in Finance at M&G India. The role operates, maintains and makes BAU updates to data pipelines that validate, transform and enrich policyholder data used in actuarial modelling and assumption setting.

What you'll do

• Design, build, and maintain scalable data pipelines that validate and transform data to meet actuarial modelling requirements.
• Implement checks and controls to ensure actuarial input data is complete, accurate, reconciled and available when required.
• Work with data suppliers to ensure data loads are complete and controlled.
• Monitor and optimise data performance, resolving issues and improving efficiency where needed.
• Maintain runbooks or support documentation.
• Maintain process documentation, data dictionaries, and operational procedures.
• Ensure all enhancements are appropriately documented and meet business requirements before implementation.
• Collaborate with stakeholders to understand data needs and translate them into effective technical solutions.
• Work independently on well-defined deliverables and escalate material risks and issues appropriately.
• Work with suppliers and actuarial users to resolve data exceptions.
• Contribute to data governance, including documentation, standards, and controls.
• Deliver high-quality outputs with strong attention to detail, ensuring accuracy, consistency, and compliance with agreed standards.
• Work independently within established frameworks, managing own and team's workload.

What you'll need

• Strong understanding of data structures, databases, and data modelling concepts.
• Experience working on data pipelines with data transformation, validation and storage processes.
• Ability to manage and process large datasets with attention to accuracy and quality.
• Familiarity with data governance and best practices in data management.
• Strong problem-solving skills and the ability to work collaboratively across teams.
• Experience working in Financial Services or a similar heavily audited environment with an understanding of operating controls and producing audit evidence.
• Clear communication with both technical and non-technical stakeholders.
• Proactive approach to identifying and resolving issues.
• Commitment to continuous improvement and delivering high-quality outcomes.
• SQL.
• Data management and modelling.
• Experience maintaining documentation, controls, and governance evidence to support auditability and operational resilience.
• Experience using Excel, Power BI, and/or Python to analyse data, automate checks, and produce reports or dashboards.
• Advanced Excel skills, including formulas, pivot tables, lookups, data validation, Power Query, and reconciliation techniques.
• 4-10 years of relevant Data Engineering experience (depending on role level).
• Financial services experience, or a closely related field.
• Bachelor's Degree / Master's Degree.

Nice to have

• Azure Databricks.
• Spark.
• Spark SQL.
• Python/PySpark.
• Any Data Engineering certifications would be an advantage.

Details

• Location: Mumbai.