Senior Manager - Data Scientist (AMVC)

About M&G India

We are M&G India, the strategic innovation and digital hub for M&G. Established in 2003, we have offices in Mumbai and Pune.

Our teams work closely with colleagues across the Group worldwide to drive transformation, build digital capability, and support sustainable growth. By leveraging technology, AI, automation, and process excellence, we bring new ways of thinking to improve outcomes for both customers and colleagues.

Grounded in a vibrant culture with strong foundations, we are central to how M&G is transforming as a business.   About M&G

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.

Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.

Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

Lead process mining activities to analyse end‑to‑end actuarial valuation processes, identifying control gaps, inefficiencies and automation opportunities. Produce high‑quality documentation covering valuation methodologies, assumptions, business rules and data flows, ensuring clarity and auditability. Apply judgement when adapting established frameworks and procedures to solve a range of problems within agreed boundaries. Design and build automated data flows and processing steps in Python and Databricks that support accurate and timely valuation outcomes. Develop senior‑level Power BI dashboards and Databricks Apps visualisations for insights into valuation movements, model performance and process controls. Use AI assistants (GitHub Copilot, Copilot 365) to accelerate automation design, code generation and documentation, validating assumptions and ensuring alignment with actuarial needs. Provide day‑to‑day support to junior colleagues—reviewing work, offering technical guidance, helping them apply best practice and building their confidence. Work closely with actuarial modelling teams, finance stakeholders and technology partners to refine requirements, interpret valuation impacts and support implementation.

Key Stakeholder Management Internal : M&G India Team manager UK Team manager Other senior stakeholders

External: N/A

Knowledge & Skills (Must Have) : Solid understanding of actuarial valuation methodology, financial reporting concepts and actuarial data flows. Ability to use skills, knowledge and experience to deliver well‑defined outputs and advise others. Python and Databricks capability for data extraction, transformation and controlled automation. Experience documenting processes, controls and business rules with clarity and precision. Ability to guide junior colleagues while not being accountable for team‑level decisions. Strong communication, stakeholder engagement and the ability to challenge constructively. Ability to recognise recurring process issues and propose practical improvements.

Knowledge & Skills (Additional) : Applied data engineering skills in Python and Databricks. Ability to interpret actuarial methodology and valuation results. Development of automated workflows using Unify or cloud based tools. Design of senior level Power BI dashboards. Process re-engineering and control optimization. Coaching and support of junior colleagues. Responsible use of AI design and coding assistants.

Experience: 7 to 10 years of relevant work experience

Educational Qualification: A numerical based degree or Post Graduate qualification

We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.