Manager - Data Scientist (Open)

We are M&G Global Services Private Limited (formerly known as 10FA India Private Limited, and prior to that Prudential Global Services Private Limited). We are a fully owned subsidiary of the M&G plc group of companies, operating as a Global Capability Centre providing a range of value adding services to the Group since 2003. At M&G our purpose is
to give everyone real confidence to put their money to work.
As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

M&G Global Services has rapidly transformed itself into a powerhouse of capability that is playing an important role in M&G plc's ambition to be the best loved and most successful savings and investments company in the world.

Job Purpose:

We are looking for a highly skilled
Manager - Data Scientist
to play a pivotal role in advancing our AI and ML initiatives within the asset management space. This role will focus on hands-on development of innovative data science solutions that enhance investment strategies and client engagement.

As a key contributor within the Data Science team, you will collaborate closely with cross-functional stakeholders across M&G Investments to translate business challenges into impactful analytical models. You will be responsible for designing and implementing advanced machine learning algorithms, contributing to the development of scalable AI products, and supporting the execution of our broader data science roadmap.

Key focus areas include leveraging large language models for investment research, developing sophisticated portfolio optimization algorithms, implementing advanced ESG analytics, and creating predictive models that enhance our investment decision-making capabilities across all asset classes.

Primary Key Responsibilities (Top 3-5 KRA)

• Develop and deploy advanced machine learning models
  on Azure to extract actionable insights from large-scale, multi-structured datasets relevant to asset management.
• Collaborate with internal and external stakeholders
  to drive end-to-end model development—from data exploration and feature engineering to validation, scoring, and production deployment within Azure ML pipelines.
• Act as an individual contributor
  while working closely with cross-functional teams to ensure seamless integration of data science solutions into investment workflows and decision-making processes.
• Continuously enhance model performance and scalability
  by leveraging Azure-native tools and services, ensuring alignment with business goals in portfolio optimization, ESG analytics, and predictive modeling.
• Maintain high standards of documentation and reproducibility
  , contributing to a robust and transparent data science practice.

Additional Responsibilities :

• Demonstrate strong proficiency in
  Python
  , with comfort using
  command-line tools
  for development and automation tasks.
• Apply
  advanced deep learning techniques
  , including
  LLM fine-tuning
  ,
  dense neural networks
  , and custom
  neural network design
  using frameworks such as
  TensorFlow
  ,
  Keras
  ,
  PyTorch
  ,
  DeepAI
  , or equivalent.
• Bring hands-on experience in delivering at least
  two NLP/text mining solutions
  , with a focus on extracting insights from unstructured financial and ESG data.
• Lead or contribute to at least
  one end-to-end machine learning project
  , from data ingestion and model development to deployment and monitoring in production.
• Exhibit strong
  SQL skills
  for efficient data extraction, transformation, and analysis across structured investment datasets.

Knowledge, Skills, Experience & Educational Qualification

Knowledge & Skills (Must Have) :

• Confidence & excellent communication
• Experience of working with Azure DevOps
• Experience of working with Databricks

Knowledge & Skills (Additional) :

• Experience of using machine learning in Asset management/investment domain preferred
• Experience of working with either AWS or Azure

Experience:

• At least 4+ years of real world experience working as a Data Scientist.

Educational Qualification:

• Graduate/Masters in any discipline

M&G Behaviours relevant to all roles:

Inspire Others:
support and encourage each other, creating an environment where everyone can contribute and succeed

Embrace Change:
be open to change, willing to be challenged and able to adapt quickly and imaginatively to new ideas

Deliver Results:
focus on performance, set high standards and deliver with energy and determination

• Keep it simple:
  cut through complexity, keep the outcome in mind, keeping your approach simple and adapting your message to every audience

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.