Senior Manager - Data Scientist (AMVC)

Overview

Senior Manager, Data Scientist (AMVC) role at M&G India's strategic innovation and digital hub in Pune, applying predictive modelling, machine learning and data science to deliver measurable business outcomes.

What you'll do

• Translate business problems into data science solutions and deliver measurable outcomes.
• Develop, validate, tune and interpret models, ensuring robustness and explainability.
• Work with large, complex datasets, performing feature engineering and data preparation.
• Use Python and SQL to extract, prepare and analyse datasets for data science and machine learning applications.
• Work with PySpark / Databricks or similar distributed data environments.
• Communicate and manage stakeholders, clearly explaining model outputs, assumptions and limitations.
• Review work and guide junior team members.

What you'll need

• Strong experience in predictive modelling and machine learning, including supervised and unsupervised techniques (e.g. regression, classification, clustering, anomaly detection).
• Proven ability to translate business problems into data science solutions and deliver measurable outcomes.
• Hands-on expertise in model development, validation, tuning and interpretability, ensuring robustness and explainability.
• Experience working with large, complex datasets and performing feature engineering and data preparation.
• Proficiency in Python for data science and machine learning applications.
• Working knowledge of SQL and data manipulation for extracting and preparing datasets.
• Working knowledge with PySpark / Databricks or similar distributed data environments.
• Strong communication and stakeholder management skills, with the ability to clearly explain model outputs, assumptions and limitations.
• Experience reviewing work and guiding junior team members.
• Exposure to MLOps concepts (model deployment, monitoring, lifecycle management).
• Applied Python, SQL and Databricks (PySpark, Delta, jobs/workflows) skills.
• GitHub and DevOps for source control, code review and CI/CD.
• Python for data science (e.g. pandas, scikit-learn, PyTorch, statistical modelling).
• Statistical and analytical thinking applied to real-world problem solving.
• Data preparation, feature engineering and handling structured/unstructured datasets.
• Ability to link model outputs to business decisions and insights.
• Clear documentation of models, assumptions and results in an audit-aware environment.
• Experience: 7 to 10 years of relevant work experience.
• Educational qualification: a numerical based degree or Post Graduate qualification.

Nice to have

• Understanding of financial data, actuarial processes or reporting frameworks.
• Ability to interpret financial methodology and reporting results.
• Process reengineering, control design and audit-ready documentation.
• Coaching and technical review of junior colleagues.
• Responsible use of AI design and coding assistants (GitHub Copilot, Copilot 365).
• Experience in financial services / insurance / actuarial analytics environments.

Details

• Location: Pune, India.