Senior Manager - Data Scientist (AMVC)

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.

Primary Key Responsibilities (Top 3-5 KRA)

• 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.
• Understanding of financial data, actuarial processes or reporting frameworks (preferred but not mandatory).
• 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.

Knowledge & Skills (Must Have) :

• Predictive modelling and machine learning (model selection, evaluation, validation, interpretability)
• 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

Knowledge & Skills (Additional) :

• 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

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.