Senior Manager - Data Scientist
M&G plc (company site, opens in a new tab)4–10 yrsMumbaiOn-siteDirect career pageEst. 20–35 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Operate, maintain and update data pipelines that validate, transform, and enrich policyholder data for actuarial modelling and assumption setting.
- Ensure actuarial input data completeness, accuracy, and timeliness by implementing checks, controls, and working with data suppliers.
- Produce high-quality, well-documented outputs to support Model Points Data Production and Experience Analysis tasks within agreed timelines.
Minimum Requirements
- 4-10 years of relevant Data Engineering experience, preferably in Financial Services or similar audited environment.
- Strong skills in SQL, Excel (advanced formulas, pivot tables, Power Query), data modelling, and data pipeline management.
- Bachelor’s or Master’s degree; Data Engineering certifications are advantageous.
- Experience with documentation, governance, and audit evidence production for operational resilience.
Ideal Candidate Profile
- Experienced in building and maintaining scalable data pipelines in heavily audited financial services contexts.
- Proficient in collaborating across teams and communicating findings effectively to technical and non-technical stakeholders.
- Able to work independently on well-defined deliverables, managing workload and escalating risks as needed.